A lightweight bridge enabling MCP-aware routing and context propagation between LLM backends and client applications.

Lightweight demo leveraging stdio transport for quick local testing with Inspector debugging

modelcontextprotocol

Model Context Protocol-based chat integration with Readwise, enabling document management and live library updates from Claude Desktop.

Secure, scalable framework enabling AI agents to perform external actions, coordinate multi-agent workflows, and operate in hosted environments with OAuth 2.0 and data enrichment.

Go-based implementation delivering client connectivity and resource exposure for LLM context workflows, with stdio and SSE transports.

Rust-based implementation with a type generator from anthropic schema.json and a foundational crate for building context-aware components.

A comprehensive server implementation combining Sui CLI and SDK capabilities for advanced blockchain interactions.

A Multi-Agent Control Protocol tool built with LangGraph, designed to work with Claude and other AI agents.

TypeScript-based backend that executes npm and npx commands from an LLM, enabling npm workflow automation and seamless Claude Desktop integration.

A Model Context Protocol server for generating API clients with TypeScript.

Real browser automation with Puppeteer for LLMs, featuring navigation, screenshots, and in-page JavaScript.

Unified GitHub automation for file ops, history-preserving commits, and advanced search across repos.

Mirror of https://github.com/mark3labs/mcp-filesystem-server

Mirror of https://github.com/doobidoo/mcp-memory-service

Mirror of https://github.com/lenwood/cfbd-mcp-server

Structured design docs with dynamic Mermaid diagrams, version control, and real-time collaboration, tailored for architecture and design teams.

Mirror of https://github.com/punkpeye/mcp-proxy

Natural-language access to Solana data through a comprehensive RPC suite, featuring easy cargo-based setup and seamless Cline integration for rapid queries.

Modern macOS MCP client for Claude with elegant SwiftUI interface and plugin support

A comprehensive system monitoring and automation tool built with Python. Features real-time metrics, command execution, analysis, and reporting.

Lightweight Streamlit integration enabling context propagation across components with minimal setup.

A lightweight Python implementation focused on scalable, private context propagation.

Mirror of https://github.com/GongRzhe/JSON-MCP-Server