MCP Servers

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.

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.

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.

The Hyperbrowser MCP Server provides tools for web scraping, data extraction, and crawling, offering access to browser agents like OpenAI's CUA and Anthropic's Claude Computer Use. It supports the Model Context Protocol.

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 knowledge graph memory server, a fork of the original Memory Server, that allows Claude to remember user information across chats using local, persistent storage with customizable memory paths.

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

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.

The DeepSeek MCP Server enables anonymous use of the DeepSeek API with MCP-compatible applications like Claude Desktop, acting as a proxy and integrating seamlessly with a simple configuration.

This repository provides a Model Context Protocol (MCP) server implementation for integrating Dify workflows, enabling their invocation through MCP tools with configuration via a `config.yaml` file. This repository provides a

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.

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

LYRAIOS is a Model Context Protocol operating system for multi-AI agents, extending AI applications to interact with financial networks and blockchains. It features open architecture, multi-agent collaboration, and cross-platform runtime environment.

The MCP Reasoner enhances Claude Desktop with Beam Search and Monte Carlo Tree Search (MCTS) algorithms, including experimental alpha variations, to improve its complex problem-solving capabilities by incorporating policy and search methods.

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.