Bruno MCP Server - Alternatives & Competitors

Ranked by Relevance

• 1
  

  k6-mcp-server

  A Model Context Protocol server for orchestrating k6 load tests via MCP-enabled clients.

  k6-mcp-server implements the Model Context Protocol, allowing users to execute and manage k6 load testing scripts through standardized MCP clients. It provides a simple API, supports custom test durations and virtual users, and offers real-time execution output. The system is configurable via environment variables and can be easily integrated into existing MCP-compatible tooling.

  17 8 MCP
• 2
  

  Octomind MCP Server

  Let agents create and manage automated end-to-end tests with Octomind.

  Octomind MCP Server enables agents to interact with Octomind's end-to-end testing platform, allowing the creation, execution, and management of automated tests. It provides a server that integrates with various clients and allows for configuration, session management, and access to multiple testing tools and resources. The server supports extensible session storage options and integrates with external platforms like TestRail and Redis for advanced scenarios. It is designed to facilitate local development and enhance test management workflows.

  21 9 MCP
• 3
  

  QA Sphere MCP Server

  Model Context Protocol server enabling LLMs to interact with QA Sphere test cases

  QA Sphere MCP Server provides a Model Context Protocol (MCP) integration for QA Sphere, allowing Large Language Models to interact with, discover, and summarize test cases within the QA Sphere test management system. It enables AI-powered IDEs and MCP clients to reference and manipulate QA Sphere test case data within development workflows. The solution supports quick integration into clients like Claude, Cursor, and 5ire, facilitating seamless collaboration and context sharing for AI-assisted development.

  15 6 MCP
• 4
  

  Facebook/Meta Ads MCP Server

  MCP server interface for secure, programmatic Meta Ads data and management.

  Enables seamless integration between Model Context Protocol (MCP) clients and Meta (Facebook) Ads API, providing tools for programmatic data access and campaign management. Simplifies local installation with automated environment setup and optional secure authentication, eliminating the need for manual token retrieval. Designed for use with popular MCP clients such as Claude Desktop, offering plug-and-play connectivity. Data and tokens remain local for privacy and security.

  183 47 MCP
• 5
  

  Globalping MCP Server

  Enable AI models to run network tests globally via natural language.

  Globalping MCP Server implements the Model Context Protocol, enabling AI models to interface with a global network measurement platform through natural language. It allows AI clients to perform network diagnostic tests such as ping, traceroute, DNS, MTR, and HTTP from thousands of locations worldwide. The server offers AI-friendly context handling, detailed parameter descriptions, comparative analysis of network performance, and supports secure authentication using OAuth or API tokens.

  33 3 MCP
• 6
  

  pharo-smalltalk-interop-mcp-server

  Local MCP server enabling advanced Pharo Smalltalk integration and introspection.

  pharo-smalltalk-interop-mcp-server implements the Model Context Protocol (MCP) and enables communication with a local Pharo Smalltalk image. It offers capabilities such as code evaluation, code introspection, search and discovery, package management, project installation, test execution, and UI debugging. The server is configured to integrate with tools like Cursor and Claude Code, providing a standardized API for programmatic Smalltalk interaction.

  6 2 MCP
• 7
  

  Webhook Tester MCP Server

  Modular server for managing, inspecting, and automating webhooks with FastMCP.

  Webhook Tester MCP Server provides a modular FastMCP-based server to automate and manage Webhook tokens (URLs), inspect incoming requests, and perform analytics without custom API integration. Built with the FastMCP framework, it exposes resources and tools for webhook observability and management. The server handles creation, listing, detail fetching, payload inspection, and deletion of webhooks, ensuring integration and automation of webhook workflows. It is easily configurable for use with Claude Desktop and supports demo testing for streamlined development.

  8 4 MCP
• 8
  

  Chess.com MCP Server

  Standardized MCP server for accessing and analyzing Chess.com public data

  Provides a Model Context Protocol (MCP) server that interfaces with Chess.com's public API, enabling AI assistants and applications to access player data, game records, clubs, and titled players through standardized tools. Offers Docker and UV-based deployment, and is configurable to suit specific assistant and client requirements. Supports seamless integration with Claude Desktop and exposes multiple ready-to-use tools for chess data retrieval and analysis.

  54 15 MCP
• 9
  

  MCP Internet Speed Test

  Standardized internet speed and network performance testing for AI models via MCP.

  MCP Internet Speed Test implements the Model Context Protocol (MCP) to enable AI models and agents to measure, analyze, and report diverse network performance metrics through a standardized interface. It supports download, upload, latency, jitter, and cache analysis, along with multi-CDN and geographic location detection. By offering an MCP-compatible server with robust testing features, it allows seamless integration with LLMs and AI tools for real-time network assessment and diagnostics.

  11 7 MCP
• 10
  

  MacOS Resource Monitor MCP Server

  Lightweight MCP server for monitoring CPU, memory, and network usage on macOS.

  MacOS Resource Monitor MCP Server provides real-time monitoring of system resources on macOS devices, exposing an MCP endpoint for integration with LLMs or other clients. It identifies resource-intensive processes across CPU, memory, and network, delivering structured JSON outputs. The server offers advanced filtering, sorting, and system overviews, assisting in performance analysis and bottleneck identification. Designed for seamless integration and lightweight system monitoring.

  16 3 MCP
• 11
  

  iOS Simulator MCP Server

  Programmatic control of iOS simulators via the Model Context Protocol

  iOS Simulator MCP Server implements the Model Context Protocol (MCP) to provide a standardized interface for managing iOS simulators. It enables users to list simulators, boot or shut them down, install application bundles, and launch apps by bundle ID. By conforming to the MCP specification, it allows seamless integration with tools that require structured simulator management.

  46 9 MCP
• 12
  

  Urlbox MCP Server

  Screenshot, PDF, HTML, and markdown generation MCP for websites.

  Urlbox MCP Server enables AI clients to generate website screenshots, PDFs, and extract HTML or markdown from web pages via the Urlbox Screenshot API. It supports automated extraction of metadata, cookies, and allows local file downloads. The server is designed to be integrated with LLMs, which can use its tools to capture and process web content on demand via standardized MCP interfaces. Environment variable configuration secures API access, and multiple formats are supported for flexible output.

  1 1 MCP
• 13
  

  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
• 14
  

  MCP Server for iOS Simulator

  Enables LLM-powered natural language control of iOS simulators.

  MCP Server for iOS Simulator provides a protocol-compliant bridge between large language models and iOS simulators, allowing seamless control via natural language commands. It offers comprehensive simulator management, application lifecycle handling, advanced UI interaction, and extensive debugging capabilities. Designed for macOS, the server integrates directly with existing MCP ecosystems, supporting development, testing, and automation workflows.

  275 23 MCP
• 15
  

  MobSF MCP Tool

  MCP-compatible interface for MobSF APK and IPA scanning

  MobSF MCP Tool enables integration of the Mobile Security Framework (MobSF) with the Model Context Protocol, allowing direct scanning and analysis of APK and IPA files through any MCP-capable client, such as Claude or 5ire. It leverages MobSF's REST API to automate file uploads, scan initiation, and report retrieval. The tool optimizes output for AI model contexts by filtering out overly large results and provides example configurations for seamless integration with leading AI desktop apps.

  15 4 MCP
• 16
  

  Bluesky Social MCP

  Interact with the Bluesky social network through an MCP server.

  Bluesky Social MCP provides an MCP-compliant server to interface with the Bluesky social platform using the atproto client. It enables a wide range of profile, feed, post management, and interaction features, all accessible via a standardized Model Context Protocol server setup. The project supports easy configuration, local deployment, and multiple authentication and posting operations.

  14 7 MCP
• 17
  

  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
• 18
  

  App Store Connect MCP Server

  Conversational AI server for App Store Connect management via MCP

  App Store Connect MCP Server is a Model Context Protocol (MCP) compliant server that enables seamless interaction with Apple's App Store Connect API. It empowers users to manage apps, beta testers, devices, bundle IDs, app metadata, and capabilities through natural language. The server supports secure authentication, real-time analytics, and localization management, streamlining development, DevOps, and product workflows.

  139 23 MCP
• 19
  

  Gradle MCP Server

  MCP server for programmatic Gradle project inspection and task execution.

  Gradle MCP Server acts as a Model Context Protocol (MCP) server enabling AI tools to interact with Gradle projects through structured APIs. It allows clients to inspect project details, execute Gradle tasks, and run tests while retrieving detailed results in JSON format. This server supports both information querying and task orchestration, designed to integrate with platforms like VSCode extensions and Claude Desktop. It leverages the Gradle Tooling API to provide comprehensive build and test insights.

  38 4 MCP
• 20
  

  MCP OpenAPI Schema Explorer

  Token-efficient OpenAPI exploration via MCP Resources.

  MCP OpenAPI Schema Explorer is an MCP-compatible server that provides token-efficient, read-only access to OpenAPI (v3.0) and Swagger (v2.0) specifications through MCP Resources. It enables MCP clients such as Claude Desktop and others to interactively explore large API schemas without loading the entire specification into an LLM’s context. The tool automatically converts Swagger specs to OpenAPI v3.0, supports both local files and remote URLs, and is optimized for integration with a broad range of MCP clients.

  57 8 MCP
• 21
  

  Swarmia MCP Server

  Connect Swarmia's metrics and reports to MCP clients for advanced analytics.

  Swarmia MCP Server acts as a bridge between Swarmia's Export API and Model Context Protocol (MCP) clients, enabling streamlined access to advanced metrics and reporting. It supports the retrieval of pull request metrics, DORA metrics, investment balance reports, software capitalization data, and effort reporting. The server is designed to work seamlessly with various MCP clients, allowing users to fetch and analyze organizational engineering data via standardized protocols.

  2 1 MCP
• 22
  

  Rug-Check-MCP

  Detect risks in Solana meme tokens to prevent rug pulls

  Rug-Check-MCP is an MCP server designed to analyze Solana meme tokens for potential risks, leveraging data from the Solsniffer API. It provides comprehensive token analysis through the 'analysis_token' tool, delivering structured information on risk scores, market data, and security factors. The solution aids AI agents and clients in identifying high-risk or unsafe projects, helping protect users from fraudulent tokens. Installation is streamlined for Smithery and manual Python environments.

  15 8 MCP
• 23
  

  MCP BaoStock Server

  Stock market data server with multiple APIs, powered by BaoStock.

  MCP BaoStock Server offers a stock data API service based on BaoStock, providing endpoints for retrieving diverse market information. It supports queries for stock basics, K-line historical data, industry classification, dividends, financial indicators, index data, and valuation metrics. Developed in Python, it is designed for easy integration and rapid access to comprehensive Chinese stock market data. The server enables detailed analysis and research with example test cases for each supported endpoint.

  56 19 MCP
• 24
  

  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
• 25
  

  Currents MCP Server

  Connect AI agents to test results context via Currents MCP Server.

  Currents MCP Server provides a standardized Model Context Protocol (MCP) server for integrating test results and debugging data into AI agents. It enables seamless communication between CI test data in Currents and AI-powered tools, such as Cursor Editor and Claude Desktop, facilitating actions like test optimization and failure diagnosis. The server exposes a suite of tools for retrieving detailed project, run, and performance metrics and is easily configurable via command-line for development and integration. Secure handling of API keys and support for local development are included.

  14 6 MCP
• 26
  

  Flowcore Platform MCP Server

  A standardized MCP server for managing and interacting with Flowcore Platform resources.

  Flowcore Platform MCP Server provides an implementation of the Model Context Protocol (MCP) for seamless interaction and management of Flowcore resources. It enables AI assistants to query and control the Flowcore Platform using a structured API, allowing for enhanced context handling and data access. The server supports easy deployment with npx, npm, or Bun and requires user authentication using Flowcore credentials.

  9 5 MCP
• 27
  

  Postman MCP Server

  MCP-compliant server providing full access to the Postman API.

  Postman MCP Server is a TypeScript-based implementation of an MCP server that offers extensive integration with the Postman API. It enables management of Postman collections, environments, and APIs while supporting advanced features like authentication, webhooks, and enterprise controls. The project is part of the Model Context Protocol initiative and adheres to MCP standards for model context integration. Designed with developers in mind, it provides CRUD operations, version control, and seamless automation capabilities.

  143 31 MCP
• 28
  

  MCP Nutanix

  An MCP server enabling LLM access to Nutanix Prism Central APIs.

  MCP Nutanix is an experimental Model Context Protocol (MCP) server that allows large language models to interact with Nutanix Prism Central APIs. It facilitates listing and accessing resources such as VMs, clusters, and hosts via standardized MCP client-server integration, using the Prism Go Client for backend communication. The implementation supports both interactive and static credential methods, making it compatible with various MCP clients including Claude and Cursor.

  11 5 MCP
• 29
  

  MCP Server LeetCode

  An MCP server enabling AI assistants to access and interact with LeetCode data.

  MCP Server LeetCode provides a Model Context Protocol server interface to the LeetCode platform, allowing AI assistants to efficiently access LeetCode problems, user profiles, and contest information. The tool offers both a command-line interface and a programmable API for integration, supporting advanced queries and direct interaction with LeetCode resources. Comprehensive toolsets allow for searching problems, fetching daily challenges, and retrieving user and contest data. The server is designed for seamless integration with platforms such as Claude Desktop.

  33 9 MCP
• 30
  

  NebulaBlock API MCP Server

  Expose NebulaBlock API as tools for MCP-compatible environments

  NebulaBlock API MCP Server provides an implementation of the Model Context Protocol (MCP), enabling seamless integration of the NebulaBlock API as accessible tools. It leverages the fastmcp library and supports both command-line and environment variable API key configuration. Designed with MCP compatibility in mind, it offers a server interface for programmatic and tool-based interactions within any MCP-compliant system.

  1 2 MCP
• 31
  

  JSR MCP

  A Model Context Protocol server enabling full JSR registry access and LLM integration.

  JSR MCP provides a Model Context Protocol (MCP) server designed for robust interaction with the JSR (JavaScript Registry) via Deno. It enables large language models (LLMs) to search, retrieve, and manage JavaScript packages, scopes, users, and registry metadata. The server exposes 40 comprehensive tools for operations such as searching packages, managing versions, handling scopes and permissions, and accessing authentication-secured functionality. Ideal for integrating JSR operations into automated systems or AI model workflows.

  0 1 MCP
• 32
  

  MongoDB MCP Server

  A Model Context Protocol server for enabling LLM interaction with MongoDB databases.

  MongoDB MCP Server empowers language models to interface directly with MongoDB databases using the Model Context Protocol (MCP). It enables natural language querying and management of collections, documents, and indexes. Users can inspect database schemas, execute document operations, and manage indexes seamlessly. The tool integrates with clients like Claude Desktop for conversational database management.

  172 33 MCP
• 33
  

  manim-mcp-server

  MCP server for generating Manim animations on demand.

  Manim MCP Server allows users to execute Manim Python scripts via a standardized protocol, generating animation videos that are returned as output. It integrates with systems like Claude to dynamically render animation content from user scripts and supports configurable deployment using environment variables. The server handles management of output files and cleanup of temporary resources, designed with portability and ease of integration in mind.

  454 48 MCP
• 34
  

  quran-mcp-server

  MCP server to access Quran.com API with AI tool compatibility.

  quran-mcp-server exposes the Quran.com corpus and associated data through a Model Context Protocol (MCP) server generated from an OpenAPI specification. It provides tool endpoints for chapters, verses, translations, tafsirs, audio, languages, and more. The server is designed for seamless integration with large language models (LLMs) and AI tools, supporting both Docker and Node.js environments. Advanced logging features and flexible deployment options are included for debugging and development.

  49 10 MCP
• 35
  

  Product Hunt MCP Server

  Plug-and-play MCP server for accessing Product Hunt data with LLMs and agents.

  Product Hunt MCP Server acts as a bridge between Product Hunt’s API and any agent or LLM that supports the Model Context Protocol (MCP). It enables fast and standardized access to posts, collections, topics, users, comments, and votes on Product Hunt. Built on FastMCP, it ensures seamless compatibility with popular AI tooling like Claude Desktop and Cursor. Integration is straightforward, requiring only a Product Hunt API token and simple configuration.

  33 8 MCP
• 36
  

  CircleCI MCP Server

  Enable LLM-driven automation for CircleCI with the Model Context Protocol.

  CircleCI MCP Server is an implementation of the Model Context Protocol (MCP) designed to bridge CircleCI with large language models and AI assistants. It supports integration with tools like Cursor IDE, Windsurf, Copilot, and VS Code, allowing users to interact with CircleCI using natural language. The server can be deployed locally via NPX or Docker and remotely, making CircleCI workflows accessible and manageable through standardized protocol operations.

  69 38 MCP
• 37
  

  Flipt MCP Server

  MCP server for Flipt, enabling AI assistants to manage and evaluate feature flags.

  Flipt MCP Server is an implementation of the Model Context Protocol (MCP) that provides AI assistants with the ability to interact with Flipt feature flags. It enables listing, creating, updating, and deleting various flag-related entities, as well as flag evaluation and management. The server supports multiple transports, is configurable via environment variables, and can be deployed via npm or Docker. Designed for seamless integration with MCP-compatible AI clients.

  2 7 MCP
• 38
  

  mcpmcp-server

  Seamlessly discover, set up, and integrate MCP servers with AI clients.

  mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

  17 6 MCP
• 39
  

  mcp-server-js

  Enable secure, AI-driven process automation and code execution on YepCode via Model Context Protocol.

  YepCode MCP Server acts as a Model Context Protocol (MCP) server that facilitates seamless communication between AI platforms and YepCode’s workflow automation infrastructure. It allows AI assistants and clients to execute code, manage environment variables, and interact with storage through standardized tools. The server can expose YepCode processes directly as MCP tools and supports both hosted and local installations via NPX or Docker. Enterprise-grade security and real-time interaction make it suitable for integrating advanced automation into AI-powered environments.

  31 13 MCP
• 40
  

  liveblocks-mcp-server

  Enable AI models to interact with Liveblocks via standardized MCP server endpoints.

  liveblocks-mcp-server provides a Model Context Protocol (MCP) server allowing AI clients to access, create, modify, and delete resources within Liveblocks such as rooms, threads, comments, and notifications. The server also offers read access to Liveblocks Storage and Yjs, making it easier for AI interfaces to manage collaborative features through Liveblocks’ REST API. Integration is supported for various clients including Cursor, Claude Desktop, and VS Code. Secure authentication is handled via project-specific secret keys.

  11 8 MCP
• 41
  

  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
• 42
  

  books-mcp-server

  A server implementation supporting Model Context Protocol integration with cherry-studio.

  books-mcp-server allows users to set up a Model Context Protocol (MCP) compliant server for managing and interacting with AI models. It enables integration with cherry-studio through STDIO commands and structured server configurations. The tool provides straightforward setup instructions and supports launching the server with customizable parameters, making it suitable for various AI context management tasks.

  5 2 MCP
• 43
  

  mcp-server-commands

  Expose safe shell command execution as an MCP server for LLM tooling.

  mcp-server-commands exposes a server that provides a 'run_command' tool for local or remote large language models (LLMs) via the Model Context Protocol (MCP). It enables LLMs to execute shell commands, retrieve STDOUT and STDERR, and optionally pass data through stdin. The tool integrates with apps like Claude Desktop and Groq Desktop, and can be run via npm or as a local build, with security in mind.

  207 32 MCP
• 44
  

  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
• 45
  

  OpenMCP

  A standard and registry for converting web APIs into MCP servers.

  OpenMCP defines a standard for converting various web APIs into servers compatible with the Model Context Protocol (MCP), enabling efficient, token-aware communication with client LLMs. It also provides an open-source registry of compliant servers, allowing clients to access a wide array of external services. The platform supports integration with local and remote hosting environments and offers tools for configuring supported clients, such as Claude desktop and Cursor. Comprehensive guidance is offered for adapting different API formats including REST, gRPC, GraphQL, and more into MCP endpoints.

  252 27 MCP
• 46
  

  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
• 47
  

  vrchat-mcp

  A Model Context Protocol (MCP) server for structured VRChat API interaction.

  vrchat-mcp is an MCP server that enables structured and standardized interactions with the VRChat API. It offers a suite of tools to access and manage user, friend, avatar, world, group, favorite, invite, and notification data within VRChat. The server is designed for easy integration with applications like Claude Desktop and supports authentication, retrieval, and manipulation of key VRChat entities. It provides simple deployment and debugging options for developers.

  45 6 MCP
• 48
  

  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
• 49
  

  LeetCode MCP Server

  Seamless Model Context Protocol integration with LeetCode APIs for advanced automation and intelligent tooling.

  LeetCode MCP Server is a Model Context Protocol (MCP) compliant server that enables advanced integration with LeetCode’s APIs. It provides robust access to problem data, user profiles, contest analytics, and private user notes across both global and China LeetCode platforms. The server streamlines retrieval, analysis, and interaction with programming challenges, facilitating intelligent automation and enhanced workflow for developers and AI-powered tools. It can be installed via npm or Smithery and easily configured in popular environments like VSCode.

  70 17 MCP
• 50
  

  1mcp-app/agent

  A unified server that aggregates and manages multiple Model Context Protocol servers.

  1MCP Agent provides a single, unified interface that aggregates multiple Model Context Protocol (MCP) servers, enabling seamless integration and management of external tools for AI assistants. It acts as a proxy, managing server configuration, authentication, health monitoring, and dynamic server control with features like asynchronous loading, tag-based filtering, and advanced security options. Compatible with popular AI development environments, it simplifies setup by reducing redundant server instances and resource usage. Users can configure, monitor, and scale model tool integrations across various AI clients through easy CLI commands or Docker deployment.

  96 14 MCP