MCP Servers

MCP Server is a tool for interactive data exploration, acting as a personal data scientist assistant. It turns datasets into actionable insights, allowing users to explore data with specified topics

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.

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.

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 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

Jupyter MCP Server is a Model Context Protocol server that enables interaction with Jupyter notebooks running in a local JupyterLab environment. It facilitates real-time collaboration and integration with tools like Claude Desktop.

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 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.

This repository provides an MCP server for Claude Desktop, enabling semantic memory and persistent storage using ChromaDB and sentence transformers. It offers features like natural language recall, tag-based retrieval, and cross-platform compatibility.

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

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.

This repository provides a proof-of-concept MCP server built on top of Uber Eats, enabling seamless integration between LLM applications and external tools using the Model Context Protocol. This repository provides

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.