pluggedin-mcp-proxy - Alternatives & Competitors

Unified proxy server for Model Context Protocol data exchanges and AI integrations

Aggregates multiple Model Context Protocol (MCP) servers into a single, unified proxy interface, supporting real-time discovery, management, and orchestration of AI model resources, tools, and prompts. Enables seamless interaction between MCP clients such as Claude, Cline, and Cursor, while integrating advanced document search, AI document exchange, and workspace management. Provides flexible transport modes (STDIO and Streamable HTTP), robust authentication, and comprehensive security measures for safe and scalable AI data exchange.

#proxy server #context-orchestration #document-rag #security-hardened #multi-server-management #ai-workspace

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  • 1
    mcp

    mcp

    Universal remote MCP server connecting AI clients to productivity tools.

    WayStation MCP acts as a remote Model Context Protocol (MCP) server, enabling seamless integration between AI clients like Claude or Cursor and a wide range of productivity applications, such as Notion, Monday, Airtable, Jira, and more. It supports multiple secure connection transports and offers both general and user-specific preauthenticated endpoints. The platform emphasizes ease of integration, OAuth2-based authentication, and broad app compatibility. Users can manage their integrations through a user dashboard, simplifying complex workflow automations for AI-powered productivity.

    27 6 MCP
  • 2
    MyMCP Server (All-in-One Model Context Protocol)

    MyMCP Server (All-in-One Model Context Protocol)

    Powerful and extensible Model Context Protocol server with developer and productivity integrations.

    MyMCP Server is a robust Model Context Protocol (MCP) server implementation that integrates with services like GitLab, Jira, Confluence, YouTube, Google Workspace, and more. It provides AI-powered search, contextual tool execution, and workflow automation for development and productivity tasks. The system supports extensive configuration and enables selective activation of grouped toolsets for various environments. Installation and deployment are streamlined, with both automated and manual setup options available.

    93 9 MCP
  • 3
    Dappier MCP Server

    Dappier MCP Server

    Real-time web search and premium data access for AI agents via Model Context Protocol.

    Dappier MCP Server enables fast, real-time web search and access to premium data sources, including news, financial markets, sports, and weather, for AI agents using the Model Context Protocol (MCP). It integrates seamlessly with tools like Claude Desktop and Cursor, allowing users to enhance their AI workflows with up-to-date, trusted information. Simple installation and configuration are provided for multiple platforms, leveraging API keys for secure access. The solution supports deployment via Smithery and direct installation with 'uv', facilitating rapid setup for developers.

    35 11 MCP
  • 4
    Vectara MCP Server

    Vectara MCP Server

    Secure RAG server enabling seamless AI integration via Model Context Protocol.

    Vectara MCP Server implements the open Model Context Protocol to enable AI systems and agentic applications to connect securely with Vectara's Trusted RAG platform. It supports multiple transport modes, including secure HTTP, Server-Sent Events (SSE), and local STDIO for development. The server provides fast, reliable retrieval-augmented generation (RAG) operations with built-in authentication, rate limiting, and optional CORS configuration. Integration is compatible with Claude Desktop and any other MCP client.

    25 8 MCP
  • 5
    QuantConnect MCP Server

    QuantConnect MCP Server

    Official bridge for secure AI access to QuantConnect's algorithmic trading cloud platform

    QuantConnect MCP Server enables artificial intelligence systems such as Claude and OpenAI to interface with QuantConnect's cloud platform through an official, secure, and dockerized implementation of the Model Context Protocol (MCP). It facilitates automated project management, strategy writing, backtesting, and live deployment by exposing a comprehensive suite of API tools for users with valid access credentials. As the maintained official version, it ensures security, easy deployment, and cross-platform compatibility for advanced algorithmic trading automation.

    50 19 MCP
  • 6
    Agentset MCP

    Agentset MCP

    Open-source MCP server for Retrieval-Augmented Generation (RAG) document applications.

    Agentset MCP provides a Model Context Protocol (MCP) server designed to power context-aware, document-based applications using Retrieval-Augmented Generation. It enables developers to rapidly integrate intelligent context retrieval into their workflows and supports integration with AI platforms such as Claude. The server is easily installable via major JavaScript package managers and supports environment configuration for namespaces, tenant IDs, and tool descriptions.

    22 10 MCP
  • 7
    Exa MCP Server

    Exa MCP Server

    Fast, efficient web and code context for AI coding assistants.

    Exa MCP Server provides a Model Context Protocol (MCP) server interface that connects AI assistants to Exa AI’s powerful search capabilities, including code, documentation, and web search. It enables coding agents to retrieve precise, token-efficient context from billions of sources such as GitHub, StackOverflow, and documentation sites, reducing hallucinations in coding agents. The platform supports integration with popular tools like Cursor, Claude, and VS Code through standardized MCP configuration, offering configurable access to various research and code-related tools via HTTP.

    3,224 244 MCP
  • 8
    awslabs/mcp

    awslabs/mcp

    Specialized MCP servers for seamless AWS integration in AI and development environments.

    AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.

    6,220 829 MCP
  • 9
    Azure DevOps MCP Server

    Azure DevOps MCP Server

    Standardized AI access to Azure DevOps via Model Context Protocol.

    Implements the Model Context Protocol (MCP) to enable AI assistants to securely and efficiently interact with Azure DevOps resources. Provides a standardized bridge for managing projects, work items, repositories, pull requests, and pipelines through natural language interfaces. Supports modular authentication and a feature-based architecture for scalability and integration. Facilitates seamless integration with AI tools such as Claude Desktop and Cursor AI.

    306 93 MCP
  • 10
    Graphlit MCP Server

    Graphlit MCP Server

    Integrate and unify knowledge sources for RAG-ready AI context with the Graphlit MCP Server.

    Graphlit MCP Server provides a Model Context Protocol interface, enabling seamless integration between MCP clients and the Graphlit platform. It supports ingestion from a wide array of sources such as Slack, Discord, Google Drive, email, Jira, and GitHub, turning them into a searchable, RAG-ready knowledge base. Built-in tools allow for document, media extraction, web crawling, and web search, as well as advanced retrieval and publishing functionalities. The server facilitates easy configuration, sophisticated data operations, and automated notifications for diverse workflows.

    369 49 MCP
  • 11
    Druid MCP Server

    Druid MCP Server

    Comprehensive Model Context Protocol server for advanced Apache Druid management and analytics

    Druid MCP Server provides a fully MCP-compliant interface for managing, analyzing, and interacting with Apache Druid clusters. Leveraging tools, resources, and AI-assisted prompts, it enables LLM clients and AI agents to perform operations such as time series analysis, statistical exploration, and data management through standardized protocols. The server is built with a feature-based architecture, offers real-time communication via multiple transports, and includes automatic discovery and registration of MCP components.

    9 4 MCP
  • 12
    MCP Router

    MCP Router

    A Unified MCP Server Management App

    MCP Router is a cross-platform desktop application designed to simplify the management of Model Context Protocol (MCP) servers. It enables users to centrally manage, organize, and monitor multiple MCP servers, both locally and remotely, with support for various connection methods. The app offers advanced context organization through Projects and Workspaces, as well as tools toggling and comprehensive logging. With a focus on privacy, all data is stored locally, and integration capabilities allow seamless connection with popular AI tools.

    1,078 95 MCP
  • 13
    YAMCP

    YAMCP

    Unified management and orchestration of Model Context Protocol servers via a local gateway workspace.

    YAMCP is a command-line tool that enables organizing and managing multiple MCP (Model Context Protocol) servers as unified workspaces. It allows users to connect to various local or remote MCP servers, group them by functionality or application, and expose them as a single MCP server gateway for AI applications. The tool simplifies monitoring and debugging by centralizing server communication logs and provides workspace management and runtime control. YAMCP facilitates seamless integration with AI applications by providing a consolidated configuration and context management interface.

    57 9 MCP
  • 14
    cloudflare/mcp-server-cloudflare

    cloudflare/mcp-server-cloudflare

    Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.

    Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.

    2,919 251 MCP
  • 15
    Pica MCP Server

    Pica MCP Server

    A Model Context Protocol (MCP) server for seamless integration with 100+ platforms via Pica.

    Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.

    8 5 MCP
  • 16
    Parallel Search MCP

    Parallel Search MCP

    Integrate Parallel Search API with any MCP-compatible LLM client.

    Parallel Search MCP provides an interface to use the Parallel Search API seamlessly from any Model Context Protocol (MCP)-compatible language model client. It serves as a proxy server that connects requests to the search API, adding the necessary support for authentication and MCP compatibility. The tool is designed for everyday web search tasks and facilitates easy web integration for LLMs via standardized MCP infrastructure.

    3 2 MCP
  • 17
    Outsource MCP

    Outsource MCP

    Unified MCP server for multi-provider AI text and image generation

    Outsource MCP is a Model Context Protocol server that bridges AI applications with multiple model providers via a single unified interface. It enables AI tools and clients to access over 20 major providers for both text and image generation, streamlining model selection and API integration. Built on FastMCP and Agno agent frameworks, it supports flexible configuration and is compatible with MCP-enabled AI tools. Authentication is provider-specific, and all interactions use a simple standardized API format.

    26 5 MCP
  • 18
    Multi-Database MCP Server (by Legion AI)

    Multi-Database MCP Server (by Legion AI)

    Unified multi-database access and AI interaction server with MCP integration.

    Multi-Database MCP Server enables seamless access and querying of diverse databases via a unified API, with native support for the Model Context Protocol (MCP). It supports popular databases such as PostgreSQL, MySQL, SQL Server, and more, and is built for integration with AI assistants and agents. Leveraging the MCP Python SDK, it exposes databases as resources, tools, and prompts for intelligent, context-aware interactions, while delivering zero-configuration schema discovery and secure credential management.

    76 19 MCP
  • 19
    sentry-mcp

    sentry-mcp

    Remote MCP middleware for developer workflow and debugging tools.

    sentry-mcp provides a remote Model Context Protocol server designed as middleware for Sentry's API, specifically optimized for human-in-the-loop coding agents and developer-oriented workflows. It enables integration with coding assistants like Cursor and Claude Code, offering both remote and stdio transports for varied environments, including self-hosted instances. The project also supports AI-powered search tools for querying events and issues, leveraging OpenAI API for natural language processing. Additionally, an Inspector tool is included for service testing and integration validation.

    424 51 MCP
  • 20
    MCP Language Server

    MCP Language Server

    Bridge codebase navigation tools to AI models using MCP-enabled language servers.

    MCP Language Server implements the Model Context Protocol, allowing MCP-enabled clients, such as LLMs, to interact with language servers for codebase navigation. It exposes standard language server features—like go to definition, references, rename, and diagnostics—over MCP for seamless integration with AI tooling. The server supports multiple languages by serving as a proxy to underlying language servers, including gopls, rust-analyzer, and pyright.

    1,256 94 MCP
  • 21
    Neovim MCP Server

    Neovim MCP Server

    Connect AI assistants to Neovim via the Model Context Protocol.

    Neovim MCP Server enables seamless integration between Neovim instances and AI assistants by implementing the Model Context Protocol (MCP). It allows for multi-connection management, supports both stdio and HTTP server transport modes, and provides access to structured diagnostic information via URI schemes. With LSP integration, plugin support, and an extensible tool system, it facilitates advanced interaction with Neovim for context-aware AI workflows.

    20 3 MCP
  • 22
    Authenticator App MCP Server

    Authenticator App MCP Server

    Secure MCP server for AI-assisted access to 2FA codes and passwords.

    Authenticator App MCP Server provides a secure Model Context Protocol (MCP) server enabling AI agents to interact with authentication credentials, such as 2FA codes and passwords. It facilitates automated login processes for AI assistants while maintaining robust security by requiring access tokens and integrating with the Authenticator App desktop client. This solution streamlines the management of user credentials across multiple platforms and websites, ensuring seamless and secure credential retrieval by AI agents.

    27 10 MCP
  • 23
    MCP Swagger Server (mss)

    MCP Swagger Server (mss)

    Seamlessly convert OpenAPI/Swagger specs into Model Context Protocol tools for AI integration.

    MCP Swagger Server converts OpenAPI/Swagger API specifications into Model Context Protocol (MCP) compatible tools, enabling REST APIs to become directly callable by AI systems. It supports zero-configuration conversion, multiple transport protocols (SSE, Streamable, Stdio), and secure API access through Bearer Token authentication. The tool offers an interactive command-line interface and configuration options to filter operations, customize transports, and manage API security. Its modular structure includes OpenAPI parsing, web UI, and backend services.

    38 8 MCP
  • 24
    Aiven MCP Server

    Aiven MCP Server

    Model Context Protocol server enabling LLMs to access and manage Aiven cloud data services.

    Aiven MCP Server implements the Model Context Protocol (MCP) to provide secure access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch services. It enables Large Language Models (LLMs) to seamlessly integrate and interact with these cloud data platforms, supporting full stack solution development. The server offers streamlined tools for project and service management via standardized APIs and supports integration with platforms like Claude Desktop and Cursor. Environment variable configuration and explicit permission controls are used to ensure secure and flexible operations.

    11 11 MCP
  • 25
    Insforge MCP Server

    Insforge MCP Server

    A Model Context Protocol server for seamless integration with Insforge and compatible AI clients.

    Insforge MCP Server implements the Model Context Protocol (MCP), enabling smooth integration with various AI tools and clients. It allows users to configure and manage connections to the Insforge platform, providing automated and manual installation methods. The server supports multiple AI clients such as Claude Code, Cursor, Windsurf, Cline, Roo Code, and Trae via standardized context management. Documentation and configuration guidelines are available for further customization and usage.

    3 2 MCP
  • 26
    Apache APISIX

    Apache APISIX

    Dynamic, high-performance API Gateway with AI and Model Context Protocol support

    Apache APISIX is a real-time, high-performance API gateway that offers advanced traffic management features such as load balancing, dynamic routing, and authentication. It serves as both a traditional API gateway and an AI Gateway, supporting seamless proxying for AI workloads and managing LLM traffic. Notably, it includes the 'mcp-bridge' plugin, which allows for integration and conversion of stdio-based Model Context Protocol (MCP) servers to scalable HTTP SSE services, enabling robust context management for AI applications.

    15,837 2,707 MCP
  • 27
    Unichat MCP Server

    Unichat MCP Server

    Universal MCP server providing context-aware AI chat and code tools across major model vendors.

    Unichat MCP Server enables sending standardized requests to leading AI model vendors, including OpenAI, MistralAI, Anthropic, xAI, Google AI, DeepSeek, Alibaba, and Inception, utilizing the Model Context Protocol. It features unified endpoints for chat interactions and provides specialized tools for code review, documentation generation, code explanation, and programmatic code reworking. The server is designed for seamless integration with platforms like Claude Desktop and installation via Smithery. Vendor API keys are required for secure access to supported providers.

    37 10 MCP
  • 28
    Higress

    Higress

    AI Native API Gateway with Built-in Model Context Protocol (MCP) Support

    Higress is a cloud-native API gateway built on Istio and Envoy, extensible with Wasm plugins in Go, Rust, or JS. It enables unified management and hosting of both LLM APIs and MCP Servers, allowing AI agents to easily call tools and services via standard protocols. The platform supports seamless conversion of OpenAPI specs to remote MCP servers and provides robust AI gateway features for enterprise and mainstream model providers. Higress is widely adopted in production environments, notably within Alibaba Cloud's core AI applications.

    6,814 878 MCP
  • 29
    Intruder MCP

    Intruder MCP

    Enable AI agents to control Intruder.io via the Model Context Protocol.

    Intruder MCP allows AI model clients such as Claude and Cursor to interactively control the Intruder vulnerability scanner through the Model Context Protocol. It can be deployed using smithery, locally with Python, or in a Docker container, requiring only an Intruder API key for secure access. The tool provides integration instructions tailored for MCP-compatible clients, streamlining vulnerability management automation for AI-driven workflows.

    21 4 MCP
  • 30
    MCP Proxy Monorepo

    MCP Proxy Monorepo

    Monorepo for MCP (Model Control Protocol) servers enabling AI integrations.

    MCP Proxy Monorepo provides servers implementing the Model Control Protocol (MCP) for integrating AI services, particularly through Bitte AI. It offers a structured framework for hosting and developing MCP-compliant server packages and supports scalable, multi-service deployments. The project is built using Bun for the JavaScript runtime, Turborepo for monorepo management, and includes tools for development, code quality, and package extensibility.

    13 2 MCP
  • 31
    SpaceBridge-MCP

    SpaceBridge-MCP

    A Model Context Protocol server for seamless AI-assisted issue management via SpaceBridge.

    SpaceBridge-MCP offers a Model Context Protocol (MCP) server that enables AI assistants and coding tools to interact directly with the SpaceBridge issue aggregation platform. It supports searching, creating, viewing, and updating issues across multiple trackers such as Jira and GitHub, using natural language requests. It also provides automated duplicate detection with LLM-based comparison to streamline issue creation workflows. The server acts as a bridge between AI-powered development environments and issue management systems, enhancing context sharing and productivity.

    5 2 MCP
  • 32
    Teamwork MCP Server

    Teamwork MCP Server

    Seamless Teamwork.com integration for Large Language Models via the Model Context Protocol

    Teamwork MCP Server is an implementation of the Model Context Protocol (MCP) that enables Large Language Models to interact securely and programmatically with Teamwork.com. It offers standardized interfaces, including HTTP and STDIO, allowing AI agents to perform various project management operations. The server supports multiple authentication methods, an extensible toolset architecture, and is designed for production deployments. It provides read-only capability for safe integrations and robust observability features.

    11 9 MCP
  • 33
    MCP Zotero

    MCP Zotero

    Model Context Protocol server for seamless Zotero integration with AI tools.

    MCP Zotero provides a Model Context Protocol server enabling AI models such as Claude to access and interact with Zotero libraries. Users can securely link their Zotero accounts and perform actions including listing collections, retrieving papers, searching the library, and getting details about specific items. Integration is designed for both standalone operation and as an extension for tools like Claude Desktop.

    137 17 MCP
  • 34
    LlamaCloud MCP Server

    LlamaCloud MCP Server

    Connect multiple LlamaCloud indexes as tools for your MCP client.

    LlamaCloud MCP Server is a TypeScript-based implementation of a Model Context Protocol server that allows users to connect multiple managed indexes from LlamaCloud as separate tools in MCP-compatible clients. Each tool is defined via command-line parameters, enabling flexible and dynamic access to different document indexes. The server automatically generates tool interfaces, each capable of querying its respective LlamaCloud index, with customizable parameters such as index name, description, and result limits. Designed for seamless integration, it works with clients like Claude Desktop, Windsurf, and Cursor.

    82 17 MCP
  • 35
    Portainer MCP

    Portainer MCP

    Connect AI assistants securely to Portainer environments using the Model Context Protocol.

    Portainer MCP is an implementation of the Model Context Protocol (MCP) designed for seamless integration between AI assistants and Portainer-managed container environments. It enables management of Portainer resources and allows execution of Docker and Kubernetes commands through AI interfaces in a secure, standardized manner. The tool provides direct protocol-based access to environment data, facilitating automation and operational insights for container infrastructures.

    81 16 MCP
  • 36
    searchcraft-mcp-server

    searchcraft-mcp-server

    An MCP Server for managing Searchcraft clusters and powering AI-driven search administration.

    searchcraft-mcp-server is a TypeScript/Node.js server that implements the Model Context Protocol (MCP) for Searchcraft clusters. It provides a suite of programmable tools for managing indexes, documents, federations, access keys, and analytics using plain English prompts via AI model clients. The server enables seamless interaction between AI interfaces like Claude Desktop and Searchcraft's administrative functions by exposing these operations as protocol-driven actions.

    6 2 MCP
  • 37
    PythonAnywhere Model Context Protocol Server

    PythonAnywhere Model Context Protocol Server

    Bridge AI-powered tools with PythonAnywhere for secure, programmatic environment management.

    PythonAnywhere Model Context Protocol Server implements the MCP, allowing AI clients and automation tools to securely manage files, web apps, and scheduled tasks within a PythonAnywhere account. It offers a standardized interface to perform core operations like editing files, deploying or managing web apps, and handling scheduled jobs with fine-grained access control. Designed for integration with tools such as Claude Desktop, GitHub Copilot, and Cursor, it ensures auditability of actions and supports multiple installation workflows.

    8 4 MCP
  • 38
    RAD Security MCP Server

    RAD Security MCP Server

    AI-powered security insights for Kubernetes and cloud environments via the Model Context Protocol.

    RAD Security MCP Server is an implementation of the Model Context Protocol designed to deliver AI-powered security insights and operations for Kubernetes and cloud platforms. It serves as an MCP server for RAD Security, providing a range of toolkits for container, cluster, identity, audit, and threat management. The server is easily configurable via environment variables, allowing for flexible toolkit activation and authentication options. Multiple deployment options are supported, including Node.js, Docker, and integration with development environments like Cursor IDE and Claude Desktop.

    5 5 MCP
  • 39
    Hive Intelligence MCP Server

    Hive Intelligence MCP Server

    Unified MCP server delivering advanced cryptocurrency and Web3 analytics.

    Hive Intelligence MCP Server provides comprehensive cryptocurrency, DeFi, and Web3 analytics via the Model Context Protocol. It enables AI assistants to access and orchestrate over 200 specialized tools covering market data, on-chain analytics, portfolio tracking, and security analysis. The server offers both dynamic and category-specific analytics through a unified MCP interface, facilitating intelligent tool orchestration for diverse crypto data needs.

    7 5 MCP
  • 40
    Google Workspace MCP Server

    Google Workspace MCP Server

    Full natural language control of Google Workspace through the Model Context Protocol.

    Google Workspace MCP Server enables comprehensive natural language interaction with Google services such as Calendar, Drive, Gmail, Docs, Sheets, Slides, Forms, Tasks, and Chat via any MCP-compatible client or AI assistant. It supports both single-user and secure multi-user OAuth 2.1 authentication, providing a production-ready backend for custom apps. Built on FastMCP, it delivers high performance and advanced context handling, offering deep integration with the entire Google Workspace suite.

    890 259 MCP
  • 41
    Postmancer

    Postmancer

    A standalone MCP server for API testing and management via AI assistants.

    Postmancer is a Model Context Protocol (MCP) server designed to facilitate API testing and management through natural language interactions with AI assistants. It enables HTTP requests, organizes API endpoints into collections, and provides tools for managing environment variables, authentication, and request history. Postmancer is particularly aimed at integrating with AI platforms like Claude for seamless, automated API workflows.

    28 4 MCP
  • 42
    Ragie Model Context Protocol Server

    Ragie Model Context Protocol Server

    Seamless knowledge base retrieval via Model Context Protocol for enhanced AI context.

    Ragie Model Context Protocol Server enables AI models to access and retrieve information from a Ragie-managed knowledge base using the standardized Model Context Protocol (MCP). It provides a retrieve tool with customizable query options and supports integration with tools like Cursor and Claude Desktop. Users can configure API keys, specify partitions, and override tool descriptions. Designed for rapid setup via npx and flexible for project-specific or global usage.

    81 18 MCP
  • 43
    AIM Guard MCP

    AIM Guard MCP

    AI-powered security and safety server for Model Context Protocol environments.

    AIM Guard MCP is a server implementing the Model Context Protocol (MCP), providing AI-powered security analysis and safety instruction tools tailored for AI agents. It offers features such as contextual security instructions, harmful content detection, API key scanning, and prompt injection detection, all designed to guard and protect interactions with various MCPs and external services. Built for fast integration, it connects with the AIM Intelligence API and is compatible with any MCP-compliant AI assistant.

    13 11 MCP
  • 44
    Supabase MCP Server

    Supabase MCP Server

    Connect Supabase projects to AI assistants using the Model Context Protocol.

    Supabase MCP Server enables direct, secure integration between Supabase projects and AI assistants such as Cursor, Claude, and Windsurf. Leveraging the Model Context Protocol, it provides standardized endpoints for external LLMs to perform tasks like managing tables, fetching configurations, and querying data on Supabase. The server supports OAuth 2.1 Dynamic Client Registration and offers easy setup with feature groups and popular client installers for local, cloud, and self-hosted environments.

    2,263 253 MCP
  • 45
    Box MCP Server (Remote)

    Box MCP Server (Remote)

    Securely connect AI agents to Box content and Box AI using the Model Context Protocol.

    Box MCP Server (Remote) enables AI agent platforms to securely interact with Box data and AI-powered tools via the Model Context Protocol. It supports OAuth-based authentication and provides various capabilities, including user identification, file and folder operations, and access to Box AI tools. The service exposes an endpoint for easy integration by MCP-compatible clients while ensuring data never leaves the Box environment. It offers both admin console and developer console setup options and comprehensive documentation for connection.

    0 3 MCP
  • 46
    MCP Server for TheHive

    MCP Server for TheHive

    Connect AI-powered automation tools to TheHive incident response platform via MCP.

    MCP Server for TheHive enables AI models and automation clients to interact with TheHive incident response platform using the Model Context Protocol. It provides tools to retrieve and analyze security alerts, manage cases, and automate incident response operations. The server facilitates seamless integration by exposing these functionalities over the standardized MCP protocol through stdio communication. It offers both pre-compiled binaries and a source build option with flexible configuration for connecting to TheHive instances.

    11 3 MCP
  • 47
    MCP Manager for Claude Desktop

    MCP Manager for Claude Desktop

    A desktop app to manage Model Context Protocol (MCP) servers for Claude Desktop on MacOS.

    MCP Manager for Claude Desktop provides a user-friendly interface to manage Model Context Protocol (MCP) servers, enabling Claude to access private data, APIs, and local or remote services securely from a MacOS desktop. It facilitates rapid configuration and integration with a wide variety of MCP servers, including productivity tools, databases, and web APIs. The app runs locally to ensure data privacy and streamlines connecting Claude to new sources through simple environment and server settings management.

    270 41 MCP
  • 48
    Firefly MCP Server

    Firefly MCP Server

    Seamless resource discovery and codification for Cloud and SaaS with Model Context Protocol integration.

    Firefly MCP Server is a TypeScript-based server implementing the Model Context Protocol to enable integration with the Firefly platform for discovering and managing resources across Cloud and SaaS accounts. It supports secure authentication, resource codification into infrastructure as code, and easy integration with tools such as Claude and Cursor. The server can be configured via environment variables or command line and communicates using standardized MCP interfaces. Its features facilitate automation and codification workflows for cloud resource management.

    15 6 MCP
  • 49
    Plane MCP Server

    Plane MCP Server

    Enables LLMs to manage Plane.so projects and issues via the Model Context Protocol.

    Plane MCP Server provides a standardized interface to connect large language models with Plane.so project management APIs. It enables LLMs to interact directly with project and issue data, supporting tasks such as listing projects, retrieving detailed information, creating and updating issues, while prioritizing user control and security. Installation is streamlined through tools like Smithery, and configuration supports multiple clients including Claude for Desktop.

    32 13 MCP
  • 50
    MCP Rubber Duck

    MCP Rubber Duck

    A bridge server for querying multiple OpenAI-compatible LLMs through the Model Context Protocol.

    MCP Rubber Duck acts as an MCP (Model Context Protocol) server that enables users to query and manage multiple OpenAI-compatible large language models from a unified API. It supports parallel querying of various providers, context management across sessions, failover between providers, and response caching. This tool is designed for debugging and experimentation by allowing users to receive diverse AI-driven perspectives from different model endpoints.

    56 7 MCP

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