MCP
An implementation of the Model Context Protocol for the World Bank open data API
A server implementation for Wikidata API using the Model Context Protocol (MCP).
An integration that allows LLMs to interact with Raindrop.io bookmarks using the Model Context Protocol (MCP).
An experimental MCP implementation of the personal intelligence framework (PIF) in Haskell.
Klavis AI (YC X25): MCP integration platforms that let AI agents use tools reliably at any scale
MCP Server to Use HuggingFace spaces, easy configuration and Claude Desktop mode.
The only general AI agent that does NOT requires extra API key, giving you full control on your local and remote MacOs from Claude Desktop App
AI conversations that actually remember. Never re-explain your project to Claude again. Local-first, integrates with Obsidian. Join our Discord: https://discord.gg/tyvKNccgqN
Toolkit for building AI-driven graph apps on Memgraph, with LangChain, MCP, and agent implementations.
Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol.
Model Context Protocol server implementation for Reddit
The official ElevenLabs MCP server
Agent Development Kit Web (adk web) is the built-in developer UI that is integrated with Agent Development Kit for easier agent development and debugging.
A LangGraph-based research assistant that helps find, analyze, and summarize scientific papers. Built with Mistral LLM (via Ollama) and Flask, this agent can search papers through CORE API, process…
production grade, easy-to-use, scaffolding framework for building LLM powered agents with Langraph.
AgentQL is a suite of tools for connecting your AI to the web. Featuring a query language and Playwright integrations for interacting with elements and extracting data quickly, precisely, and at sc…
An open protocol enabling communication and interoperability between opaque agentic applications.
Samples using the Agent2Agent (A2A) Protocol
This tool is a cutting-edge memory engine that blends real-time learning, persistent three-tier context awareness, and seamless plug-n-play LLM integration to continuously evolve and enrich your AI…
Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…
[ACL 2025] Graph-guided agentic framework for code localization https://arxiv.org/abs/2503.09089