Discover and connect with powerful Model Context Protocol services to enhance your AI applications
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Submit ServerPython MCP client with Claude 3.5 integration for interactive chat and PostgreSQL database support
Learn how to build MCP clients with LangChain and TypeScript for seamless LLM tool integration
Discover a powerful CLI tool for seamless AI model interactions across multiple providers with customizable features.
Integrate MCP endpoint tools into Langgraph with Python 3.11 for seamless AI and search capabilities
Learn to integrate MCP tools with LangChain ReAct Agent using TypeScript and handle authentication seamlessly
Learn how to use MCP protocol and mcp-rb gem in a Rails app to connect to remote MCP servers
Integrate and extend Claude AI in Laravel with tools, chat management, queuing, and event-driven features
Python MQTT client enabling real-time server communication with SSE, session management, tool integration, and error handling.
Open-source HyperChat supports multiple LLMs, MCP, multi-platform access, chat features, integrations, and productivity tools
Terminal-based MCP client with Textual, model support, and server debugging for efficient AI interactions
Electron-based Rijksmuseum MCP client with AI chat, artwork search, image display, and real-time API integration
Learn to use MCP clients with LangChain Python for multi-server LLM tool integrations
Learn how to set up OpenAI MCP client for GitHub integration and AI-powered repository management
Seamlessly create search and retrieve Apple Notes using MCP server and AI integrations
Log natural language time entries and leave requests seamlessly with Harvest MCP server integration
Manage CouchDB databases and documents effortlessly with a TypeScript MCP server supporting advanced querying
Lightweight Cloudflare MCP server for managing DNS, cache, zones, and more via Cloudflare API integration
Lightweight Neon MCP server on Cloudflare Workers for easy API integration and setup
Create and deploy custom MCP tools to Cloudflare Workers effortlessly with CLI and TypeScript.
Implement TaskWarrior MCP server for managing, filtering, and updating tasks seamlessly with Node.js integration