Browse and discover Model Context Protocol compatible clients.
Deliver a local, Windows-based execution layer for MCP-capable agents with zero cloud dependency and broad agent support.
Provide AI assistants access to Reddit data using a Model Context Protocol server without requiring API keys.
Orchestrate multi-agent workflows with LangGraph for Python 3.11+, with a lightweight, tested framework for routing tasks and agents
Build and manage Claude agent workflows with a TypeScript and SvelteKit app for structured AI automation and local SQLite storage
Extract and convert web pages into clean Markdown, preserving structure and media, with automatic mode selection and zero setup required.
Simple MCP server that returns "Hello World!" message. Easy to set up with any MCP-compatible AI client. 🌍💻
Detect and reduce wasteful AI token usage by warning on large outputs, verbose logs, and repeated history in MCP-compatible clients.
Provide a TypeScript client that reverse-engineers QClaw's WeChat OAuth2 login and jprx gateway protocol for seamless Tencent API access.
Structure AI-assisted TDD with a plan-apply-unify loop for clearer tests, tighter context, and steady code progress
Enable AI agents to process webhooks and RSS feeds using native MCP tools for streamlined, event-driven automation and data handling.
Manage MCP server configs and behavioral rules across AI coding platforms with automatic detection and version control, requiring no dependencies.
Explore and analyze your iMessage history locally with 26 tools powered by AI, fully compatible with the Model Context Protocol.
🛠️ Enhance search efficiency with Tool Search MCP, a client-side tool search service that dynamically loads relevant MCP tools for better performance.
Extend Apache Superset with Model Context Protocol to integrate and manage machine learning models efficiently within data dashboards.
Generate MCPB packages from MCP server projects using a Claude Code plugin and GitHub Actions workflow for streamlined server packaging.