Discover our curated collection of MCP servers for data science & ml. Browse 8922 servers and find the perfect MCPs for your needs.
Enhances Claude Desktop's reasoning capabilities with beam search and Monte Carlo Tree Search.
Reads GitHub repository structure and retrieves specified files, facilitating programmatic analysis of codebases.
Connects to Garmin Connect and exposes fitness and health data to MCP-compatible clients.
Enables reading and writing to Google Drive files and Google Sheets via the Model Context Protocol.
Enables Large Language Models (LLMs) to interact with MongoDB databases for schema inspection and operation execution.
Provides unified access to multiple search engines, AI tools, and content processing services.
Enables complex problem-solving by leveraging a multi-agent system for deeper analysis and coordinated task execution.
Enables AI assistants to access and interact with Reddit content through PRAW.
Connects to the Strava API to provide tools for accessing fitness data through Large Language Models.
Empowers AI assistants with image processing capabilities such as cropping, resizing, object detection, and OCR through an MCP server.
Manages and semantically searches documents using AI embeddings, bridging knowledge gaps for various content types.
Enables AI-powered web search through an MCP server utilizing OpenAI's o3 model.
Provides AI coding agents with symbol-aware semantic search for precise context on large codebases.
Provides an LLM-friendly interface to Massive.com's comprehensive financial market data API.
Unify code indexing, hybrid search, and LLM decoding into a plug-and-play retrieval stack for rapidly deploying context-aware AI agents.
Provides a direct connection for LLMs and MCP-compatible agents to leverage PageIndex's vectorless, reasoning-based RAG system for intelligent document retrieval.
Provides an open-source execution engine for building and automating AI agents with granular control through modular workflows.
Provides a robust Arabic search engine API for the Holy Quran, offering simple and advanced search, linguistic analysis, and comprehensive metadata access.
Indexes source code with tree-sitter, chunks it into semantic units, embeds them locally, and stores everything in a single SQLite file for vector and full-text search.
Grounds autonomous AI agents in verified, real-time knowledge at scale to prevent hallucinations and ensure accurate responses.
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