MCP Proxy Monorepo alternatives

1

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

2

Remote-MCP

A type-safe, bidirectional system for remote Model Context Protocol communication.

Remote-MCP provides a simple and secure way to enable remote access to and centralized management of model contexts using the Model Context Protocol. It bridges local MCP clients with remote MCP servers, supporting a modular architecture via tRPC over HTTP. The tool allows integration both as a client and a server, catering to real-time remote access needs ahead of the official MCP roadmap.

200 29 MCP

3

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

4

Maven Tools MCP Server

Universal Maven Central dependency intelligence server for JVM build tools via the Model Context Protocol.

Maven Tools MCP Server provides an MCP-compliant API delivering rich Maven Central dependency intelligence for JVM build tools like Maven, Gradle, SBT, and Mill. It enables AI assistants to instantly analyze, interpret, and recommend updates, health checks, and maintenance insights by reading maven-metadata.xml directly from Maven Central. With Context7 integration, it supports orchestration and documentation, enabling bulk analysis, stable version filtering, risk assessment, and rapid cached responses. Designed for seamless integration into AI workflows via the Model Context Protocol.

14 2 MCP

5

Mastra

A TypeScript framework for building scalable AI-powered agents and applications.

Mastra is a modern TypeScript-based framework designed for developing AI-powered applications and autonomous agents. It offers model routing to integrate over 40 AI providers, a graph-based workflow engine, advanced context management, and production-ready tools for observability and evaluation. Mastra features built-in support for authoring Model Context Protocol (MCP) servers, enabling standardized exposure of agents, tools, and structured AI resources via the MCP interface.

18,189 1,276 MCP

6

Parallel Task MCP

Launch deep research or task groups for Parallel APIs via the Model Context Protocol.

Parallel Task MCP provides a way to initiate and manage research or task groups through LLM clients using the Model Context Protocol. It enables seamless integration with Parallel’s APIs for flexible experimentation and production development. The tool supports both remote and local deployment, and offers connection capabilities for context-aware AI workflows.

4 3 MCP

7

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

8

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

9

Crypto Indicators MCP Server

Technical analysis indicators and strategies for AI trading via the Model Context Protocol.

Crypto Indicators MCP Server provides over 50 cryptocurrency technical analysis indicators and quantitative trading strategies through an MCP-compliant server interface. The tool is designed for AI trading agents and can integrate seamlessly with platforms like Claude Desktop. It offers support for multiple exchanges via CCXT, modular design for easy maintenance, and outputs actionable trading signals based on market trends.

91 39 MCP

10

Codex MCP Server

An MCP-compatible server delivering enriched blockchain data for AI models.

Codex MCP Server implements the Model Context Protocol to provide enriched blockchain data from Codex. It is compatible with MCP clients such as Claude Desktop and Claude CLI, allowing seamless integration in AI workflows that require blockchain context. Users can run the server locally or via npx, and configure it for various MCP-compatible tools using their Codex API key.

20 4 MCP

11

mcp-stockfish

A Model Context Protocol server that connects AI systems to the Stockfish chess engine.

mcp-stockfish provides a server implementing the Model Context Protocol (MCP) to enable seamless integration between AI models and the Stockfish chess engine. It supports multiple concurrent sessions, full UCI command support, and offers both stdio and HTTP server modes. Built for robust, concurrent usage, it handles session and command management, exposes a JSON-based API response, and offers Docker support for easy deployment.

4 5 MCP

12

MCP Unity Editor

A Model Context Protocol implementation for Unity game development.

MCP Unity Editor implements the Model Context Protocol within the Unity Editor environment, enabling standardized management of model context. It provides tools and infrastructure for developers to build and integrate AI and model-driven workflows in Unity projects. Built with support for Unity and Node.js, it aims to facilitate robust context handling and protocol compliance for model interactions.

1,075 131 MCP

13

Binary Ninja MCP

Seamlessly integrate Binary Ninja with Model Context Protocol clients for enhanced reverse engineering.

Binary Ninja MCP enables real-time integration of Binary Ninja's reverse engineering environment with various Model Context Protocol (MCP) clients. It acts as a server exposing Binary Ninja's capabilities via HTTP endpoints and includes a bridge to connect to MCP clients. The extension supports auto-setup with popular clients such as Cline, Claude Desktop, Roo Code, and others, streamlining the use of AI-assisted workflows. This enhances tasks such as analyzing binaries, switching targets, and leveraging LLM-driven automation in reverse engineering.

112 35 MCP

14

GitHub Repos Manager MCP Server

Token-based, high-performance GitHub automation for MCP clients.

GitHub Repos Manager MCP Server offers a comprehensive Model Context Protocol (MCP) server for managing GitHub repositories via direct API integration. It enables MCP clients such as Claude Desktop, Roo Code, and Cursor to automate GitHub workflows using just a personal access token, without the need for Docker. With 89 tools, users can handle repository management, issue tracking, collaboration, and advanced configuration with fine-grained control. The server is optimized for simplicity, security, and powerful automation through flexible tool management and granular access permissions.

13 4 MCP

15

CCXT MCP Server

Unified Model Context Protocol gateway for cryptocurrency exchange integration

CCXT MCP Server provides a high-performance gateway integrating multiple cryptocurrency exchanges with language models via the Model Context Protocol (MCP). It connects LLMs, such as Claude and GPT, to real-time market data and trading operations through a standardized interface. Leveraging the CCXT library, it supports various exchanges, different market types, advanced caching, and proxy configuration options. The server is optimized for maintainability with modular architecture, enabling seamless interaction and extensibility.

117 23 MCP

16

mcp-server-rabbitmq

RabbitMQ Reference Implementation for the Model Context Protocol (MCP)

Implements a server for the Model Context Protocol (MCP) using RabbitMQ as the messaging backend. Provides a standardized approach for handling model context, enabling scalable and efficient context management for AI applications. The project has been migrated to the official Amazon MQ repository.

40 10 MCP

17

MCP XRPL Server

Unified Model Context Protocol server for seamless AI-driven interaction with the XRP Ledger.

MCP XRPL Server provides a comprehensive Model Context Protocol implementation for the XRP Ledger, enabling AI agents to access blockchain services seamlessly across MainNet, TestNet, and DevNet. It offers an extensive suite of features including account management, token transfers, NFT operations, DIDs, AMM operations, and oracle interactions, all via a standardized MCP interface. The server supports context-driven interactions, making XRPL functionality readily accessible for AI-powered agents.

5 4 MCP

18

Crypto Projects MCP Server

AI-accessible server that delivers comprehensive cryptocurrency project data in structured formats.

Crypto Projects MCP Server provides AI agents with detailed cryptocurrency project data sourced from Mobula.io, accessible via the Model Context Protocol (MCP). It offers both raw JSON and formatted Markdown outputs, making project information easy to parse and consume by large language models. The server features language customization and returns organized details including price, market data, tokenomics, links, investors, and more. Integration with tools like Claude Desktop is supported for seamless AI interactions.

0 10 MCP

19

Sonos TypeScript MCP Server

Seamless Sonos control and context integration for AI-driven automation.

Sonos TypeScript MCP Server offers real-time, intelligent control over Sonos audio devices using the Model Context Protocol. It enables AI assistants and coding agents to manage playback, zones, music libraries, alarms, and device groups over local networks via UPnP/SOAP. The server is designed for integration into AI-driven workflows and supports standardized MCP I/O. Real-time event subscriptions and device discovery provide up-to-date context and actionable capabilities for smart home audio environments.

3 1 MCP

20

mcp-log-proxy

Web-based proxy for inspecting Model Context Protocol traffic in real time.

mcp-log-proxy enables users to observe and debug messages exchanged between MCP clients and servers through a user-friendly web interface. It supports the STDIO interface and can operate multiple proxy instances, each accessible via a web dashboard. The tool allows customization of ports, web page titles, and log file locations, making it suitable for managing and troubleshooting MCP-based model communication. Installation is straightforward via Homebrew or Go, and it supports real-time switching between different running proxies.

26 3 MCP

21

Cal Server

Lightweight mathematical expression calculator as an MCP service

Cal Server is a simple mathematical expression calculation tool built on the FastMCP framework and designed to operate as a Model Context Protocol (MCP) service. It evaluates mathematical expressions provided via standard input/output using the expr-eval library and runs in the Bun runtime environment. The service supports core mathematical operations, built-in constants, and parameter validation with zod, making it efficient and easy to integrate into other workflows.

13 3 MCP

22

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

23

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

24

pluggedin-mcp-proxy

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.

87 15 MCP

25

buildkite-mcp-server

Server exposing Buildkite data through the Model Context Protocol for AI integration.

buildkite-mcp-server implements a Model Context Protocol (MCP) server that exposes Buildkite data, including pipelines, builds, jobs, and tests, to AI tooling and editors. It facilitates secure and standardized access to CI/CD information for model-based tools. The project is written in Go and is recommended to be run in a containerized, secure environment.

40 21 MCP

26

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

27

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

28

PostHog MCP

Easily deploy and manage Model Context Protocol servers across multiple platforms.

PostHog MCP provides a server implementation for the Model Context Protocol, now maintained within the PostHog monorepo. It enables quick deployment for enhanced model context management across editors like Cursor, Claude, Claude Code, VS Code, and Zed. Users can install the MCP server with a single command, streamlining integration for large language model workflows. Documentation and further details are provided through official PostHog resources.

138 23 MCP

29

Sequa MCP

Bridge Sequa's advanced context engine to any MCP-capable AI client.

Sequa MCP acts as a seamless integration layer, connecting Sequa’s knowledge engine with various AI coding assistants and IDEs via the Model Context Protocol (MCP). It enables tools to leverage Sequa’s contextual knowledge streams, enhancing code understanding and task execution across multiple repositories. The solution provides a simple proxy command to interface with standardized MCP transports, supporting configuration in popular environments such as Cursor, Claude, VSCode, and others. Its core purpose is to deliver deep, project-specific context to LLM agents through a unified and streamable endpoint.

16 3 MCP

30

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

31

Octocode MCP

Enterprise-grade AI context server for codebase research and analysis.

Octocode MCP is a Model Context Protocol (MCP) server designed to enable AI assistants to search, analyze, and extract insights from millions of GitHub repositories with high security and token efficiency. It offers intelligent orchestration for deep code research, planning, and agentic workflows, streamlining the process of building and understanding complex software projects. The platform features robust tools and commands, such as /research for expert code research, designed to support developers and AI systems with context-rich information.

577 45 MCP

32

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

33

dbt MCP Server

Bridge dbt projects and AI agents with rich project context.

dbt MCP Server provides an implementation of the Model Context Protocol for dbt projects, enabling seamless integration between dbt and AI agents. It allows agents to access and understand the context of dbt Core, dbt Fusion, and dbt Platform projects. The tool supports connection to external AI products and offers resources for building custom agents. Documentation and examples are provided to facilitate adoption and integration.

420 90 MCP

34

McGravity

Unified load balancer and proxy for multiple MCP servers

McGravity acts as a scalable unified proxy and load balancer for multiple MCP (Model Context Protocol) servers. It allows clients to connect through a single endpoint to access and manage multiple MCP servers efficiently. The tool offers load balancing, configuration via YAML, CLI and Docker support, and plans to evolve with features such as health checks and a web interface. Designed for modern GenAI infrastructure, it simplifies connection, balancing, and scalability of MCP server deployments.

68 3 MCP

35

mcp-server-templates

Deploy Model Context Protocol servers instantly with zero configuration.

MCP Server Templates enables rapid, zero-configuration deployment of production-ready Model Context Protocol (MCP) servers using Docker containers and a comprehensive CLI tool. It provides a library of ready-made templates for common integrations—including filesystems, GitHub, GitLab, and Zendesk—and features intelligent caching, smart tool discovery, and flexible configuration options via JSON, YAML, environment variables, or CLI. Perfect for AI developers, data scientists, and DevOps teams, it streamlines the process of setting up and managing MCP servers and has evolved into the MCP Platform for enhanced capabilities.

5 1 MCP

36

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

37

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

38

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

39

@bldbl/mcp

Official MCP client for integrating AI assistants with Buildable projects.

@bldbl/mcp enables AI assistants like Claude and GPT to directly interact with Buildable projects using the Model Context Protocol (MCP). It provides full project context, smart task management, real-time progress tracking, and facilitates seamless communication between AI and human developers. TypeScript support and CLI tools ensure robust integration, making it ready for platforms like Claude Desktop and Cursor AI. The tool simplifies AI-driven project management and collaboration in software development.

8 7 MCP

40

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

41

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

42

Package Registry MCP Server

MCP server for searching and retrieving package registry information.

Package Registry MCP Server provides a Model Context Protocol interface that enables AI assistants and agents such as Claude, Cursor, and Copilot to search and retrieve up-to-date information from major package registries. It supports searching and querying detailed data for NPM, crates.io, NuGet, PyPI, and Go modules directly from the source registries. Integrations are provided for various AI tools, facilitating easy and standardized package data access.

28 6 MCP

43

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

44

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

45

Package Version MCP Server

Check latest stable package versions across multiple registries with an MCP server.

Package Version MCP Server acts as an MCP-compliant server that assists large language models in fetching the latest stable versions of packages from a variety of registries such as npm, PyPI, Maven Central, Go Proxy, Swift Packages, AWS Bedrock, Docker Hub, GitHub Container Registry, and GitHub Actions. It can be integrated via command-line, URL, or containers and is tailored for development environments and tools that require accurate package versioning for code generation or recommendations. The solution is adaptable and is transitioning towards incorporation in the broader mcp-devtools suite.

118 23 MCP

46

Bugsnag MCP Server

A Model Context Protocol server for AI-powered Bugsnag error monitoring and management.

Bugsnag MCP Server provides a Model Context Protocol-compliant interface for AI tools to interact with Bugsnag, enabling advanced error monitoring, analysis, and management. It allows navigation of organizations and projects, filtering and investigation of errors and events, and detailed stacktrace and exception chain visualization. The server is designed for easy integration with LLM-powered agents like Cursor and Claude, supporting rich context retrieval and automated issue resolution workflows.

18 5 MCP

47

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

48

Airtable MCP Server

Advanced AI-powered server enabling enterprise-grade automation and analytics for Airtable through MCP.

Airtable MCP Server is an AI-enhanced MCP-compliant server designed to provide seamless integration with Airtable databases. It offers intelligent automation, predictive analytics, natural language querying, and comprehensive schema management, powered by a robust TypeScript architecture. The solution is equipped with multi-base support, enterprise-level security, and advanced governance, making it suitable for diverse workflow automation and analytics scenarios.

45 17 MCP

49

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

50

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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