Vectorize MCP Server - Alternatives & Competitors
MCP server for advanced vector retrieval and text extraction with Vectorize integration.
Vectorize MCP Server is an implementation of the Model Context Protocol (MCP) that integrates with the Vectorize platform to enable advanced vector retrieval and text extraction. It supports seamless installation and integration within development environments such as VS Code. The server is configurable through environment variables or JSON configuration files and is suitable for use in collaborative and individual workflows requiring vector-based context management for models.
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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 -
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Kanboard MCP Server
MCP server for seamless AI integration with Kanboard project management.
Kanboard MCP Server is a Go-based server implementing the Model Context Protocol (MCP) for integrating AI assistants with the Kanboard project management system. It enables users to manage projects, tasks, users, and workflows in Kanboard directly via natural language commands through compatible AI tools. With built-in support for secure authentication and high performance, it facilitates streamlined project operations between Kanboard and AI-powered clients like Cursor or Claude Desktop. The server is configurable and designed for compatibility with MCP standards.
15 4 MCP -
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Semgrep MCP Server
A Model Context Protocol server powered by Semgrep for seamless code analysis integration.
Semgrep MCP Server implements the Model Context Protocol (MCP) to enable efficient and standardized communication for code analysis tasks. It facilitates integration with platforms like LM Studio, Cursor, and Visual Studio Code, providing both Docker and Python (PyPI) deployment options. The tool is now maintained in the main Semgrep repository with continued updates, enhancing compatibility and support across developer tools.
611 54 MCP -
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GitHub MCP Server
Connect AI tools directly to GitHub for repository, issue, and workflow management via natural language.
GitHub MCP Server enables AI tools such as agents, assistants, and chatbots to interact natively with the GitHub platform. It allows these tools to access repositories, analyze code, manage issues and pull requests, and automate workflows using the Model Context Protocol (MCP). The server supports integration with multiple hosts, including VS Code and other popular IDEs, and can operate both remotely and locally. Built for developers seeking to enhance AI-powered development workflows through seamless GitHub context access.
24,418 2,997 MCP -
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CipherTrust Manager MCP Server
Enables AI assistants to access CipherTrust Manager securely via the Model Context Protocol.
CipherTrust Manager MCP Server provides an implementation of the Model Context Protocol (MCP), offering AI assistants such as Claude and Cursor a unified interface to interact with CipherTrust Manager resources. Communication is facilitated through JSON-RPC over stdin/stdout, enabling key management, CTE client management, user management, and connection management functionalities. The tool is configurable via environment variables and integrates with existing CipherTrust Manager instances using the ksctl CLI for secure resource access.
7 4 MCP -
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Yuque-MCP-Server
Seamless integration of Yuque knowledge base with Model-Context-Protocol for AI model context management.
Yuque-MCP-Server provides an MCP-compatible server for interacting with the Yuque knowledge base platform. It enables AI models to retrieve, manage, and analyze Yuque documents and user information through a standardized Model-Context-Protocol interface. The server supports operations such as document creation, reading, updating, deletion, advanced search, and team statistics retrieval, making it ideal for AI-powered workflows. Inspired by Figma-Context-MCP, it facilitates contextual awareness and dynamic knowledge management for AI applications.
31 13 MCP -
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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 -
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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 -
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Notion MCP Server
Enable LLMs to interact with Notion using the Model Context Protocol.
Notion MCP Server allows large language models to interface with Notion workspaces through a Model Context Protocol server, supporting both data retrieval and editing capabilities. It includes experimental Markdown conversion to optimize token usage for more efficient communication with LLMs. The server can be configured with environment variables and controlled for specific tool access. Integration with applications like Claude Desktop is supported for seamless automation.
834 154 MCP -
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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 -
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CVE-Search MCP Server
MCP server for querying and managing CVE-Search vulnerability data.
CVE-Search MCP Server implements the Model Context Protocol to provide structured access to the CVE-Search API. It enables querying vendors, products, and vulnerabilities, as well as retrieving detailed information for specific CVEs. The server facilitates model context integration via MCP client tools, supporting seamless interactions for vulnerability data management.
67 11 MCP -
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AtomGit MCP Server
AI-powered management and automation of AtomGit repositories via the Model Context Protocol.
AtomGit MCP Server implements the Model Context Protocol to enable AI-driven management and automation of AtomGit open collaboration platform repositories. It offers methods for managing repositories, issues, pull requests, branches, and labels, allowing seamless AI interaction with AtomGit. The server supports integration with platforms like Claude and VSCode, providing a standardized interface for AI to orchestrate complex collaboration workflows. Built with Node.js and easily deployable via npx or from source, it focuses on expanding collaborative capabilities using AI agents.
7 4 MCP -
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Lara Translate MCP Server
Context-aware translation server implementing the Model Context Protocol.
Lara Translate MCP Server enables AI applications to seamlessly access professional translation services via the standardized Model Context Protocol. It supports features such as language detection, context-aware translations, and translation memory integration. The server acts as a secure bridge between AI models and Lara Translate, managing credentials and facilitating structured translation requests and responses.
76 13 MCP -
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Weblate MCP Server
Seamlessly connect AI assistants to Weblate for translation management via the Model Context Protocol.
Weblate MCP Server enables AI assistants and clients to directly manage Weblate translation projects through the Model Context Protocol (MCP). It integrates with the Weblate REST API, allowing natural language interaction for project and translation management. The tool offers multiple transport options including HTTP, SSE, and STDIO, and is optimized for large language model workflows. Full support for project, component, and translation operations is provided, with a focus on type safety and flexible environment configuration.
9 5 MCP -
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TickTick MCP
MCP server for AI-powered TickTick task management integration
TickTick MCP is a Model Context Protocol (MCP) server that enables standardized integration of TickTick's task management features with AI assistants and developer applications. It allows programmatic access to create, update, retrieve, complete, or delete tasks and projects in TickTick via Python. Using this MCP server, AI systems can leverage TickTick's API to help automate and manage user's to-do lists and projects through natural language or other interfaces.
6 6 MCP -
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Azure MCP Server
Connect AI agents with Azure services through Model Context Protocol.
Azure MCP Server provides a seamless interface between AI agents and Azure services by implementing the Model Context Protocol (MCP) specification. It enables integration with tools like GitHub Copilot for Azure and supports a wide range of Azure resource management tasks directly via conversational AI interfaces. Designed for extensibility and compatibility, it offers enhanced contextual capabilities for agents working with Azure environments.
1,178 351 MCP -
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MCP Atlassian
AI-powered MCP server integrating Confluence and Jira workflows.
MCP Atlassian serves as a Model Context Protocol (MCP) server interface for Atlassian products such as Confluence and Jira, supporting both cloud and server/data center deployments. It enables AI assistants to access, search, and update Atlassian data contextually via standardized MCP endpoints. The integration streamlines tasks like intelligent issue filtering, documentation creation, and context-driven updates directly through natural language. Multiple authentication modes, including API tokens and OAuth 2.0, are supported for secure connectivity.
3,574 740 MCP -
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kibitz
The coding agent for professionals with MCP integration.
kibitz is a coding agent that supports advanced AI collaboration by enabling seamless integration with Model Context Protocol (MCP) servers via WebSockets. It allows users to configure Anthropic API keys, system prompts, and custom context providers for each project, enhancing contextual understanding for coding tasks. The platform is designed for developers and professionals seeking tailored AI-driven coding workflows and provides flexible project-specific configuration.
104 14 MCP -
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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 -
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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 -
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Raindrop.io MCP Server
Enable LLMs to manage and search Raindrop.io bookmarks via the Model Context Protocol.
Raindrop.io MCP Server is an integration that allows large language models to interact with Raindrop.io bookmarks using the Model Context Protocol. It provides tools to create and search bookmarks, including filtering by tags, and is designed for interoperability with environments like Claude for Desktop. Installation can be done via Smithery or manually, and configuration is managed through environment variables. The project is open source and optimized for secure, tokenized access to Raindrop.io.
63 15 MCP -
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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 -
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TickTick MCP Server
Enable powerful AI-driven task management for TickTick via the Model Context Protocol.
TickTick MCP Server provides comprehensive programmatic access to TickTick task management features using the Model Context Protocol. Built on the ticktick-py library, it enables AI assistants and MCP-compatible applications to create, update, retrieve, and filter tasks with improved precision and flexibility. The server supports advanced filtering, project and tag management, subtask handling, and robust context management for seamless AI integration.
35 9 MCP -
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Offorte MCP Server
Bridge AI agents with Offorte proposal automation via the Model Context Protocol.
Offorte MCP Server enables external AI models to create and send proposals through Offorte by implementing the Model Context Protocol. It facilitates automation workflows between AI agents and Offorte's proposal engine, supporting seamless integration with chat interfaces and autonomous systems. The server provides a suite of tools for managing contacts, proposals, templates, and automation sets, streamlining the proposal creation and delivery process via standardized context handling. Designed for extensibility and real-world automation, it leverages Offorte's public API to empower intelligent business proposals.
4 4 MCP -
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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 -
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Maigret MCP Server
OSINT username and URL search server for the Model Context Protocol.
Maigret MCP Server provides Model Context Protocol (MCP) integration for the Maigret OSINT tool, enabling AI and context-aware applications to search for usernames across hundreds of social networks and analyze URLs. Designed for seamless operation with MCP-compatible clients like Claude Desktop, it supports multiple output formats and advanced filtering options. The server can be installed via Docker or npm, offers Docker-based deployment for consistent performance, and facilitates responsible OSINT research.
205 29 MCP -
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mcp-miro
Model Context Protocol server for integrating MIRO Whiteboard with AI workflows.
mcp-miro is a Model Context Protocol (MCP) compliant server that connects the MIRO Whiteboard Application to AI-based systems, such as Claude Desktop. It enables board manipulation, sticky note creation, bulk operations, and more through standardized MCP interfaces. Users can authenticate via OAuth and interact with MIRO boards programmatically for collaborative whiteboarding and automation tasks. The server can be installed using Smithery or mcp-get and supports debugging with the MCP Inspector.
97 31 MCP -
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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 -
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Wanaku MCP Router
A router connecting AI-enabled applications through the Model Context Protocol.
Wanaku MCP Router serves as a middleware router facilitating standardized context exchange between AI-enabled applications and large language models via the Model Context Protocol (MCP). It streamlines context provisioning, allowing seamless integration and communication in multi-model AI environments. The tool aims to unify and optimize the way applications provide relevant context to LLMs, leveraging open protocol standards.
87 32 MCP -
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BoldSign MCP Server
Bridge Large Language Models with BoldSign's e-signature API via the Model Context Protocol.
BoldSign MCP Server enables interaction between Large Language Models (LLMs) and the BoldSign API using the Model Context Protocol (MCP). It allows LLMs to manage templates and documents for e-signature workflows as autonomous agents connected to external systems. The server can be seamlessly integrated with various MCP-compatible clients such as Cursor, VS Code, Windsurf, and Claude Desktop. Configuration is made easy through standard environment variables and client-specific setup instructions.
3 6 MCP -
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Plugwise MCP Server
TypeScript-based Model Context Protocol server for Plugwise smart home integration.
Plugwise MCP Server is a TypeScript-based server that implements the Model Context Protocol (MCP) for integrating Plugwise smart home devices. It enables automatic discovery and secure management of Plugwise hubs, provides control over thermostats, switches, and smart plugs, and supports real-time device updates and energy monitoring. Designed for compatibility with popular MCP clients such as Claude Desktop, Cline, Cursor, and VS Code Copilot via standard I/O transport, it offers robust support for multiple hubs and both mock and real hardware environments.
0 1 MCP -
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Daisys MCP server
A beta server implementation for the Model Context Protocol supporting audio context with Daisys integration.
Daisys MCP server provides a beta implementation of the Model Context Protocol (MCP), enabling seamless integration between the Daisys AI platform and various MCP clients. It allows users to connect MCP-compatible clients to Daisys by configurable authentication and environment settings, with out-of-the-box support for audio file storage and playback. The server is designed to be extensible, including support for both user-level deployments and developer contributions, with best practices for secure authentication and dependency management.
10 5 MCP -
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@growi/mcp-server
Bridge GROWI wiki content to AI models with context-aware access and management.
@growi/mcp-server acts as a Model Context Protocol (MCP) server that enables AI models to access, search, and manage GROWI wiki content within an organization. It facilitates seamless connection between multiple GROWI instances and language models, enhancing information retrieval and knowledge management capabilities. The platform provides comprehensive tools for page, tag, comment, and revision management as well as share link and user activity tracking. Its flexible configuration allows simultaneous operation with several GROWI apps for scalable deployment.
10 7 MCP -
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Confluence Communication Server MCP Server
Seamlessly interact with Confluence using standardized MCP tools.
Confluence Communication Server MCP Server is a TypeScript-based implementation that enables seamless interaction with Confluence through the Model Context Protocol. It provides tools for running CQL queries, retrieving, and updating Confluence page content, thus showcasing and adhering to core MCP concepts. The server is compatible with Claude Desktop and supports installation via Smithery, emphasizing ease of integration and automation for Confluence management tasks.
13 6 MCP -
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MCP Obsidian Server
Integrate Obsidian note management with AI models via the Model Context Protocol.
MCP Obsidian Server acts as a bridge between Obsidian and AI models by providing an MCP-compatible server interface. It enables programmatic access to Obsidian vaults through a local REST API, allowing operations like listing files, searching, reading, editing, and deleting notes. Designed to work with Claude Desktop and other MCP-enabled clients, it exposes a set of tools for efficient note and content management within Obsidian.
2,394 298 MCP -
36
GhidrAssistMCP
Bringing Model Context Protocol server connectivity to Ghidra for AI-assisted reverse engineering.
GhidrAssistMCP is a Ghidra extension providing a Model Context Protocol (MCP) server that allows AI assistants and other tools to interact programmatically with Ghidra's reverse engineering platform. It offers a standardized API for querying program data, managing tool interactions, and enabling real-time analysis features. The extension features a configurable UI, built-in logging, and dynamic management of 31 specialized analysis tools.
337 19 MCP -
37
Macrocosmos MCP
Official Model Context Protocol server for real-time social and video data integration.
Macrocosmos MCP is the official server implementation of the Model Context Protocol (MCP). It connects AI clients with real-time data from platforms like X, Reddit, and YouTube, powered by Data Universe (SN13) on Bittensor. The server enables MCP-compatible clients to fetch social media and video transcript data for enhanced contextual understanding. It supports integration with tools such as Claude Desktop, Cursor, Windsurf, and OpenAI Agents.
24 3 MCP -
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Code Declaration Lookup MCP Server
Fast, language-agnostic code declaration search and lookup server via MCP.
Provides a Model Context Protocol (MCP) server that indexes code declarations using universal ctags and SQLite with FTS5 full-text search. Offers search and listing functionality for functions, classes, structures, enums, and other code elements across any language supported by ctags. Enables seamless integration with coding agents for dynamic indexing, respects .gitignore, and supports ctags file ingestion and management.
2 1 MCP -
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GitHub Enterprise MCP Server
Expose GitHub Enterprise data through a Model Context Protocol server.
GitHub Enterprise MCP Server provides an MCP (Model Context Protocol) interface to integrate with GitHub Enterprise APIs, enabling standardized access to repository data, issues, pull requests, workflows, and user management. It is compatible with both GitHub Enterprise Server and GitHub.com environments and supports features like repository management, file browsing, and enterprise statistics. The platform is designed for seamless integration with tools such as Cursor, making it simple to interact with GitHub data programmatically or via MCP-compliant clients.
25 7 MCP -
40
Perplexity MCP Server
MCP Server integration for accessing the Perplexity API with context-aware chat completion.
Perplexity MCP Server provides a Model Context Protocol (MCP) compliant server that interfaces with the Perplexity API, enabling chat completion with citations. Designed for seamless integration with clients such as Claude Desktop, it allows users to send queries and receive context-rich responses from Perplexity. Environment configuration for API key management is supported, and limitations with long-running requests are noted. Future updates are planned to enhance support for client progress reporting.
85 35 MCP -
41
ws-mcp
WebSocket bridge for MCP stdio servers.
ws-mcp wraps Model Context Protocol (MCP) stdio servers with a WebSocket interface, enabling seamless integration with web-based clients and tools. It allows users to configure and launch multiple MCP servers via a flexible configuration file or command-line arguments. The tool is designed to be compatible with services such as wcgw, fetch, and other MCP-compliant servers, providing standardized access to system operations, HTTP requests, and more. Integration with tools like Kibitz enables broader applications in model interaction workflows.
19 7 MCP -
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Yandex Tracker MCP Server
A Model Context Protocol server for secure and flexible integration with Yandex Tracker APIs.
Yandex Tracker MCP Server enables AI assistants to securely interact with Yandex Tracker APIs by providing authenticated access to issues, queues, comments, worklogs, and more. It supports advanced query capabilities, optional Redis caching for enhanced performance, and multiple transport options including HTTP and stdio. The server features OAuth 2.0 authentication, granular security controls, and can be seamlessly integrated as an extension in various AI clients, such as Claude Desktop.
28 6 MCP -
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FastMCP
TypeScript framework for building robust MCP servers with minimal setup.
FastMCP is a TypeScript framework designed for building servers that adhere to the Model Context Protocol (MCP), enabling efficient management of client sessions and context. It streamlines the creation of MCP servers by providing intuitive APIs, built-in authentication, session and request tracking, and support for handling various content types such as images and audio. The framework also enforces best practices around error handling, logging, and streaming outputs. Developers benefit from reduced boilerplate and a focus on core MCP functionality.
2,738 231 MCP -
44
ZoomEye MCP Server
Real-time cyberspace asset intelligence for AI assistants via Model Context Protocol.
ZoomEye MCP Server implements the Model Context Protocol (MCP) to provide network asset intelligence to AI assistants and development tools. It enables querying of global internet assets through ZoomEye's cyber asset search engine using structured parameters and dorks. The server includes features like caching, error handling, and compatibility with leading MCP environments, supporting real-time cyber asset data integration for various AI and developer platforms.
50 13 MCP -
45
IDA Pro MCP
Enabling Model Context Protocol server integration with IDA Pro for collaborative reverse engineering.
IDA Pro MCP provides a Model Context Protocol (MCP) server that connects the IDA Pro reverse engineering platform to clients supporting the MCP standard. It exposes a wide array of program analysis and manipulation functionalities such as querying metadata, accessing functions, globals, imports, and strings, decompiling code, disassembling, renaming variables, and more, in a standardized way. This enables seamless integration of AI-powered or remote tools with IDA Pro to enhance the reverse engineering workflow.
4,214 432 MCP -
46
mcp-difyworkflow-server
MCP server for managing and executing multiple Dify workflows on demand.
mcp-difyworkflow-server is an MCP-compliant server tool that facilitates the querying and invocation of custom Dify workflows. It supports dynamic execution of multiple workflows by interfacing with the Dify platform, enabling users to manage workflow credentials and operations efficiently. Configuration allows mapping of workflows to API keys, and commands to list or execute available workflows are provided.
58 14 MCP -
47
WebScraping.AI MCP Server
MCP server for advanced web scraping and AI-driven data extraction
WebScraping.AI MCP Server implements the Model Context Protocol to provide web data extraction and question answering functionalities. It integrates with WebScraping.AI to offer robust tools for retrieving, rendering, and parsing web content, including structured data and natural language answers from web pages. It supports JavaScript rendering, proxy management, device emulation, and custom extraction configurations, making it suitable for both individual and team deployments in AI-assisted workflows.
33 13 MCP -
48
GitLab MR MCP
An MCP server for AI-powered interaction with GitLab merge requests and issues.
GitLab MR MCP implements a server for the Model Context Protocol (MCP) enabling AI agents to perform structured interactions with GitLab repositories. It provides capabilities for reading merge request and issue details, listing projects, fetching diffs and comments, and making changes such as commenting or updating titles and descriptions. Installation is supported via Smithery or manually, and integration with MCP clients and Inspector tools is documented for development and troubleshooting.
65 19 MCP -
49
Vibe Check MCP
Plug & play agent oversight tool to keep LLMs aligned, reflective, and safe.
Vibe Check MCP provides a mentor layer over large language model agents to prevent over-engineering and promote optimal, minimal pathways. Leveraging research-backed oversight, it integrates seamlessly as an MCP server with support for STDIO and streamable HTTP transport. The platform enhances agent reliability, improves task success rates, and significantly reduces harmful actions. Designed for easy plug-and-play with MCP-aware clients, it is trusted across multiple MCP platforms and registries.
315 36 MCP -
50
NCBI Literature Search MCP Server
Seamless PubMed literature search via Model Context Protocol server.
NCBI Literature Search MCP Server provides a Model Context Protocol (MCP) interface to search the vast PubMed database using natural language queries. It enables AI assistants to conduct comprehensive and advanced literature searches across biological and biomedical disciplines, returning metadata such as abstracts, author lists, MeSH terms, and DOIs. Designed for integration with AI tools, it supports advanced query capabilities and streamlines literature review and research discovery processes.
6 1 MCP
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