Discover our curated collection of MCP servers for data science & ml. Browse 5736servers and find the perfect MCPs for your needs.
Connects LangChain.js-compatible LLMs with MCP servers for building flexible AI agents with dynamic tool access and multi-server support.
Enables playing chess against an AI opponent powered by a language model.
Integrate Ecovacs cleaning robot control capabilities into large language models and intelligent agents via the MCP protocol.
Enables AI agents to interact seamlessly with Splunk environments through the Model Context Protocol (MCP).
Provides an MCP server to access Central Bank of Nigeria (CBN) data and circulars directly within AI applications.
Provides AI assistants with seamless access to Last.fm listening data and music information.
Simulate AI-driven venture capitalist agents, continuously enriched by real-time market data, for investment-related tasks.
Provides a context-augmentation layer to equip AI agents, especially coding agents, with an up-to-date knowledge base, significantly boosting their performance.
Extends local LLMs with capabilities like web search, code execution, and persistent memory.
Retrieves US Treasury fiscal data and generates formatted reports using the Fiscal Data API.
Enables AI models to securely access Interactive Brokers trading data and functionality through the TWS API.
Provides access to NebulaGraph 3.x using the Model Context Protocol.
Integrates Extend APIs with AI frameworks like Anthropic's MCP, OpenAI, LangChain, and CrewAI.
Integrates a comprehensive Model Context Protocol (MCP) server with LightRAG API, offering 22 tools for document management, querying, knowledge graph operations, and system management.
Enables AI models to interact with Ethereum blockchain data via JSON-RPC calls.
Enables semantic search and management of documentation through vector similarity using RAG techniques.
Enhances AI model reasoning by implementing structured, retrieval-augmented thinking processes.
Connects AI assistants to the Firefox browser for inspection and control via the Remote Debugging Protocol.
Provides advanced chess analysis by implementing a Chess Context Protocol Server and integrating Stockfish, positional theme analysis, and opening databases.
Enables AI assistants to debug Go applications by providing an MCP server interface to the Delve debugger.
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