Browse and discover Model Context Protocol compatible clients.
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.
Provide a clear, practical security checklist for teams building and deploying Model Context Protocol servers and AI agent infrastructure.
Enable self-hosted APIs to accept USDC micropayments via the x402 protocol using HTTP 402 status for seamless crypto payment integration.
🤖 Enhance customer support with an AI chat platform that delivers intelligent, context-aware responses through a seamless full-stack solution.
Aggregate multiple Ollama instances into a unified OpenAI-compatible API with load balancing, health checks, auto discovery, and web management.
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.
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