ip2a/mcpstore

Elegantly manage your MCP services

What it solves

It simplifies the management of Model Context Protocol (MCP) services. Instead of manually configuring individual servers, it provides a centralized way to add, connect, and orchestrate these services, making them easily accessible to AI agents and applications.

How it works

Built with Rust for high performance, the project uses a control plane/data plane architecture. The control plane handles the orchestration and management of services, while the data plane focuses on the actual invocation of tools. It offers a CLI, a Beta desktop app for GUI management, and SDKs (Python and Rust) that allow developers to integrate MCP services into popular AI frameworks like LangChain, LangGraph, OpenAI, AutoGen, CrewAI, and LlamaIndex.

Who it’s for

Developers building AI agents and applications who need a scalable way to manage multiple MCP servers and integrate them as tools for their LLMs.

Highlights

  • High Performance: Written in Rust to ensure low overhead.
  • Multi-Framework Support: Provides direct tool conversion for major AI agent frameworks.
  • Flexible Scoping: Supports global store management as well as independent scopes per agent.
  • Comprehensive Tooling: Includes a CLI, a Web UI, and a desktop application for service orchestration.

Related

  • Project
    microsoft/mcp

    A collection of Model Context Protocol (MCP) servers and core tooling that standardizes how AI agents and LLMs connect to Microsoft services and external data sources.

  • Project
    github/github-mcp-server

    A Model Context Protocol (MCP) server that connects AI agents to GitHub, enabling them to read code, manage issues, and automate workflows via natural language.

  • Project
    yc-duan/fastctx

    A high-performance Rust-based MCP server that provides structured repository tools for AI agents to efficiently read, search, and edit codebases.

  • Project
    modelcontextprotocol/rust-sdk

    RMCP is a Rust SDK that implements the Model Context Protocol, enabling async client‑server communication for AI tools, prompts, resources, and more. It offers discovery, version negotiation, multi‑round‑trip requests, caching, and macro‑generated boilerplate for building AI‑powered services.

  • Project
    samanhappy/mcphub

    A self-hosted MCP gateway and control plane that provides a unified endpoint, authentication, and observability for managing multiple MCP servers.