MCP Router alternatives

1

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

2

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

3

MCP Manager for Claude Desktop

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

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

270 41 MCP

4

MCP CLI

A powerful CLI for seamless interaction with Model Context Protocol servers and advanced LLMs.

MCP CLI is a modular command-line interface designed for interacting with Model Context Protocol (MCP) servers and managing conversations with large language models. It integrates with the CHUK Tool Processor and CHUK-LLM to provide real-time chat, interactive command shells, and automation capabilities. The system supports a wide array of AI providers and models, advanced tool usage, context management, and performance metrics. Rich output formatting, concurrent tool execution, and flexible configuration make it suitable for both end-users and developers.

1,755 299 MCP

5

Teamwork MCP Server

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

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

11 9 MCP

6

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

7

mcp-cli

A command-line inspector and client for the Model Context Protocol

mcp-cli is a command-line interface tool designed to interact with Model Context Protocol (MCP) servers. It allows users to run and connect to MCP servers from various sources, inspect available tools, resources, and prompts, and execute commands non-interactively or interactively. The tool supports OAuth for various server types, making integration and automation seamless for developers working with MCP-compliant servers.

391 31 MCP

8

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

9

mcp-get

A command-line tool for discovering, installing, and managing Model Context Protocol servers.

mcp-get is a CLI tool designed to help users discover, install, and manage Model Context Protocol (MCP) servers. It enables seamless integration of Large Language Models (LLMs) with various external data sources and tools by utilizing a standardized protocol. The tool provides access to a curated registry of MCP servers and supports installation and management across multiple programming languages and environments. Although now archived, mcp-get simplifies environment variable management, package versioning, and server updates to enhance the LLM ecosystem.

497 103 MCP

10

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

11

Graphlit MCP Server

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

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

369 49 MCP

12

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

13

Meta Ads MCP

AI-powered Meta Ads campaign analysis and management via MCP

Meta Ads MCP is a Model Context Protocol (MCP) server for managing, analyzing, and optimizing Meta advertising campaigns. It enables AI interfaces, such as LLMs, to retrieve ad performance data, visualize creatives, and provide strategic insights across Facebook, Instagram, and related platforms. The solution supports integration with platforms like Claude and Cursor, leveraging Meta's public APIs to deliver actionable insights and campaign management capabilities. Authentication options include interactive login and token-based flows for various MCP clients.

342 86 MCP

14

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

15

Context Apps MCP

AI-powered productivity suite unified by the Model Context Protocol.

Context Apps MCP is an AI-powered productivity suite that connects Todo, Idea, Journal, and Timer applications through the Model Context Protocol, enabling smart, context-driven workflows with apps like Claude Desktop and other MCP-compatible clients. It allows users to manage tasks, develop ideas, analyze journals, and optimize productivity using AI, all accessible and integrated via MCP-compliant endpoints. The suite ensures secure authentication via Apple ID OAuth, provides end-to-end encrypted communication, and offers users complete control over their data.

5 2 MCP

16

Nexus MCP Server

AI integration without the complexity

Nexus MCP Server implements the Model Context Protocol to provide streamlined AI-powered web search capabilities through OpenRouter and the Perplexity Sonar models. It enables intelligent model search and discovery for MCP-compatible clients such as Claude Desktop and Cursor, supporting context-rich queries and structured citation extraction. The server features robust deployment options, including zero-install NPX execution, and is fully implemented in TypeScript. Its architecture includes production-ready features like error handling, request caching, deduplication, and logging.

16 5 MCP

17

Hive Intelligence MCP Server

Unified MCP server delivering advanced cryptocurrency and Web3 analytics.

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

7 5 MCP

18

LlamaCloud MCP Server

Connect multiple LlamaCloud indexes as tools for your MCP client.

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

82 17 MCP

19

Mac Apps Launcher MCP Server

Launch and manage macOS applications via an MCP server.

Mac Apps Launcher MCP Server enables the listing, launching, and management of macOS applications through the Model Context Protocol. Designed to integrate with systems supporting MCP, it provides standardized methods to enumerate app folders, launch apps by name, and open files with specified applications. Configuration details are provided for integration with Claude Config JSON.

16 8 MCP

20

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

21

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

22

Taskade MCP

Tools and server for Model Context Protocol workflows and agent integration

Taskade MCP provides an official server and tools to implement and interact with the Model Context Protocol (MCP), enabling seamless connectivity between Taskade’s API and MCP-compatible clients such as Claude or Cursor. It includes utilities for generating MCP tools from any OpenAPI schema and supports the deployment of autonomous agents, workflow automation, and real-time collaboration. The platform promotes extensibility by supporting integration via API, OpenAPI, and MCP, making it easier to build and connect agentic systems.

90 20 MCP

23

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

24

Vectorize MCP Server

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.

97 21 MCP

25

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

26

MCP Fathom Analytics

Unofficial MCP server for AI-powered access to Fathom Analytics data.

MCP Fathom Analytics provides an unofficial Model Context Protocol (MCP) server that enables AI assistants to access and interact with Fathom Analytics data. It integrates with the Fathom Analytics API via the @mackenly/fathom-api SDK, offering tools to retrieve account details, manage sites, list events, generate analytics reports, and access real-time visitor data. Designed for use in AI model workflows, it allows secure and flexible analytics integration and supports configuration for clients such as Claude Desktop.

2 5 MCP

27

Last9 MCP Server

Enables AI agents to access real-time production observability data for automated code fixes.

Last9 MCP Server is an implementation of the Model Context Protocol (MCP) designed to provide seamless integration between AI agents and production observability data. It allows tools and agents to fetch live logs, metrics, traces, events, and alerts from Last9 systems, supporting a range of development environments and IDEs. This enables faster debugging, automated code fixes, and insightful context directly within local development workflows.

46 8 MCP

28

MCP Local RAG

Privacy-first local semantic document search server for MCP clients.

MCP Local RAG is a privacy-preserving, local document search server designed for use with Model Context Protocol (MCP) clients such as Cursor, Codex, and Claude Code. It enables users to ingest and semantically search local documents without using external APIs or cloud services. All processing, including embedding generation and vector storage, is performed on the user's machine. The tool supports document ingestion, semantic search, file management, file deletion, and system status reporting through MCP.

10 3 MCP

29

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

30

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

31

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

32

MCP Server for Cortex

Bridge Cortex threat analysis capabilities to MCP-compatible clients like Claude.

MCP Server for Cortex exposes the analysis capabilities of a Cortex instance as tools consumable by Model Context Protocol (MCP) clients, such as large language models. It enables these clients to request threat intelligence analyses via Cortex and receive structured results. The server supports easy configuration, secure authentication, and flexible analyzer selection for integrating threat intelligence tasks into automated AI workflows.

12 4 MCP

33

@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

34

Cross-LLM MCP Server

Unified MCP server for accessing and combining multiple LLM APIs.

Cross-LLM MCP Server is a Model Context Protocol (MCP) server enabling seamless access to a range of Large Language Model APIs including ChatGPT, Claude, DeepSeek, Gemini, Grok, Kimi, Perplexity, and Mistral. It provides a unified interface for invoking different LLMs from any MCP-compatible client, allowing users to call and aggregate responses across providers. The server implements eight specialized tools for interacting with these LLMs, each offering configurable options like model selection, temperature, and token limits. Output includes model context details as well as token usage statistics for each response.

9 5 MCP

35

Slite MCP Server

Bridge Slite notes with AI model context using the MCP standard.

Slite MCP Server implements the Model Context Protocol to interface with Slite's API, enabling seamless search, retrieval, and hierarchical browsing of workspace notes. It exposes standardized tools for searching notes, retrieving content by ID, and navigating note structures, making Slite content programmatically accessible to contextual AI pipelines. Built in Node.js and TypeScript, it is configurable and supports authentication via API key.

0 0 MCP

36

metoro-mcp-server

Bridge Kubernetes observability data to LLMs via the Model Context Protocol.

Metoro MCP Server is an implementation of the Model Context Protocol (MCP) that enables seamless integration between Kubernetes observability data and large language models. It connects Metoro’s eBPF-based telemetry APIs to LLM applications such as the Claude Desktop App, allowing AI systems to query and analyze Kubernetes clusters. This solution supports both authenticated and demo modes for accessing real-time cluster insights.

45 12 MCP

37

VictoriaMetrics MCP Server

Model Context Protocol server enabling advanced monitoring and observability for VictoriaMetrics.

VictoriaMetrics MCP Server implements the Model Context Protocol (MCP) to provide seamless integration with VictoriaMetrics, allowing advanced monitoring, data exploration, and observability. It offers access to almost all read-only APIs, as well as embedded documentation for offline usage. The server facilitates comprehensive metric querying, cardinality analysis, alert and rule testing, and automation capabilities for engineers and tools.

87 11 MCP

38

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

39

Thales CDSP CRDP MCP Server

MCP server enabling secure data protection and revelation with Thales CipherTrust CRDP

Thales CDSP CRDP MCP Server implements the Model Context Protocol (MCP) to allow AI applications and LLMs to securely protect and reveal sensitive data via Thales CipherTrust RestFul Data Protection (CRDP) service. The server supports both stdio and HTTP transports, individual and bulk data operations, and robust versioning support. Features include health checks, metrics collection, and integration with protection policies and JWT-based authorization.

2 3 MCP

40

searchcraft-mcp-server

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

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

6 2 MCP

41

MCP Linear

MCP server for AI-driven control of Linear project management.

MCP Linear is a Model Context Protocol (MCP) server implementation that enables AI assistants to interact with the Linear project management platform. It provides a bridge between AI systems and the Linear GraphQL API, allowing the retrieval and management of issues, projects, teams, and more. With MCP Linear, users can create, update, assign, and comment on Linear issues, as well as manage project and team structures directly through AI interfaces. The tool supports seamless integration via Smithery and can be configured for various AI clients like Cursor and Claude Desktop.

117 23 MCP

42

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

43

sentry-mcp

Remote MCP middleware for developer workflow and debugging tools.

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

424 51 MCP

44

MCP Server for Asana

Bridge Asana's API with Model Context Protocol tools for seamless task management.

MCP Server for Asana provides a Model Context Protocol (MCP) compliant interface to the Asana API, enabling direct interaction with Asana from MCP clients such as Claude Desktop. It offers tools to list, search, retrieve, and create tasks and projects within Asana workspaces, with options for both read and write operations. The server supports advanced task filtering, project searching, and read-only modes for secure testing. Integration facilitates automation and streamlined project management within AI-powered environments.

107 41 MCP

45

Signoz MCP Server

Connect SigNoz observability data to AI assistants via the Model Context Protocol.

Signoz MCP Server acts as a bridge between SigNoz observability platforms and AI assistants by implementing the Model Context Protocol (MCP). It exposes a suite of tools for querying dashboard information, fetching panel and metrics data, executing custom queries, and retrieving traces or logs from SigNoz. The tool supports integration with popular AI assistants, flexible deployment options (Docker, local virtual environments), and secure configuration via environment variables or YAML files. The server is designed to enable standardized programmatic context retrieval for enhancing AI/LLM workflows.

11 1 MCP

46

Keycloak MCP Server

MCP server for streamlined Keycloak administration and user management

Keycloak MCP Server provides a Model Context Protocol (MCP) interface for managing Keycloak users and realms. It enables easy creation, deletion, and listing of users and realms through standardized tools. Designed for integration with platforms like Claude Desktop and tools like Smithery, it automates repeated Keycloak admin tasks and supports both NPM and local development setups.

33 9 MCP

47

GIS MCP Server

Empower AI with advanced geospatial operations via Model Context Protocol.

GIS MCP Server provides a Model Context Protocol (MCP) server implementation that enables Large Language Models to access and perform sophisticated GIS operations. It bridges AI assistants with Python geospatial libraries such as Shapely, GeoPandas, PyProj, Rasterio, and PySAL. The server supports a wide range of spatial analysis, coordinate transformations, raster and vector data processing, and geospatial intelligence tasks. By integrating with MCP-compatible clients, it enhances AI tools with precise and extensible spatial capabilities.

70 21 MCP

48

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

49

Memory MCP

A Model Context Protocol server for managing LLM conversation memories with intelligent context window caching.

Memory MCP provides a Model Context Protocol (MCP) server for logging, retrieving, and managing memories from large language model (LLM) conversations. It offers features such as context window caching, relevance scoring, and tag-based context retrieval, leveraging MongoDB for persistent storage. The system is designed to efficiently archive, score, and summarize conversational context, supporting external orchestration and advanced memory management tools. This enables seamless handling of conversation history and dynamic context for enhanced LLM applications.

10 6 MCP

50

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

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