Dual-mode MCP development tool combining CLI inspection and transparent hot-reload proxy for seamless testing and iteration.

Query and execute Dify workflows on demand, enabling seamless multi-workflow automation with one Go-based tool.

MCP server for JADX-AI Plugin

Workflow orchestration CLI with MCP endpoint support and multi-agent dashboard

just-prompt is an MCP server that provides a unified interface to top LLM providers (OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama)

A MCP Server for Azure AI Foundry: it's now moved to cloud, check the new Foundry MCP Server

基于 Model Context Protocol (MCP) 协议的全网热点趋势一站式聚合服务

Access Fastmail via JMAP: list/search emails, send and move mail, handle attachments/threads, plus contacts and calendar tools.

Code Runner MCP Server

Connects CodeLogic dependency data with AI tooling to deliver precise impact insights and automated DevOps workflows.

Token-based GitHub automation management. No Docker, Flexible configuration, 80+ tools with direct API integration.

Unified Java AI toolkit with multi-model access and agent tooling, distinguished by built-in MCP gateway, RAG workflows, and coding-agent capabilities.

Enable AI agents to work reliably - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.

ast grep mcp

Python toolkit to build graph-enhanced GenAI apps with hierarchical lexical graphs and hybrid retrieval.

本地化 AI 助手平台，配置即代码，具备隐私保护与跨工作区协作能力的独特特性

Browser automation gateway enabling AI agents to launch browsers, navigate pages, interact with elements, and capture screenshots.

This MCP(Model Context Protocol) Server provides tools to search, install, proxy other MCP servers.

Realtime Bitbucket Cloud access for AI assistants to query repos, PRs, and code with automated reviews and insights.

A simple agent framework that's capable of browser use + mcp + auto instrument + plan + deep research + more

Xiaozhi MCP sample program

Token-efficient Go package documentation access with automatic module context, offline capability, and smart package discovery.

LangGraph-powered ReAct agent with Model Context Protocol (MCP) integration. A Streamlit web interface for dynamically configuring, deploying, and interacting with AI agents capable of accessing various data sources and APIs through MCP tools.

A modern template for agentic orchestration — built for rapid iteration and scalable deployment using highly customizable, community-supported tools like MCP, LangGraph, and more.