Browse and discover Model Context Protocol compatible servers
Wren Engine is a semantic engine designed for MCP clients and AI agents, enabling accurate data understanding and retrieval within complex enterprise environments, including trusted calculations and reporting.
A comprehensive collection of Model Context Protocol (MCP) servers
This LinkedIn MCP server allows Claude and other AI assistants to access your LinkedIn. It can scrape LinkedIn profiles and companies, get your recommended jobs, and perform job searches.
This repository implements an MCP server for Apify Actors, enabling AI assistants to use them as tools for tasks like data extraction and web scraping via HTTP or standard input/output.
MCPAdapt unlocks access to 650+ Model Context Protocol (MCP) servers for agentic frameworks, enabling seamless integration of diverse data and tools into workflows. It supports frameworks like Langchain, CrewAI, and Smolagents.
This repository provides an MCP server that connects Claude Desktop to Hugging Face Spaces, enabling functionalities like image generation with minimal setup by specifying desired spaces and a working directory.
This repository provides a bridge connecting Model Context Protocol (MCP) servers to OpenAI-compatible LLMs, enabling the use of MCP-compliant tools with models like GPT-4o through a standardized interface.
Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access and tool integration
This repository hosts the E2B MCP server, enabling code interpreting capabilities for the Claude Desktop app through the E2B Sandbox, available in JavaScript and Python editions. This repository hosts the
LightAgent: Lightweight AI agent framework with memory, tools & tree-of-thought. Supports multi-agent collaboration, self-learning, and major LLMs (OpenAI/DeepSeek/Qwen). Open-source with MCP/SSE prot
MemoryMesh is a knowledge graph server for AI models, ideal for text-based RPGs and interactive storytelling, helping AI maintain consistent, structured memory across conversations for richer interactions. MemoryMesh is a
Elixir Model Context Protocol (MCP) SDK
The mcp-graphql repository provides a Model Context Protocol server that enables LLMs to interact with GraphQL APIs by offering schema introspection and query execution capabilities, facilitating dynamic API usage.
MCP-NixOS - Model Context Protocol Server for NixOS resources
Blender MCP VXAI allows controlling Blender with natural language via MCP Clients, enabling users to create and modify 3D models, animations, and scenes efficiently. It bridges AI language models and 3D creation.