Discover our curated collection of MCP servers for data science & ml. Browse 8948 servers and find the perfect MCPs for your needs.
Integrates the Tavily Search API to provide web search capabilities optimized for LLMs.
Connects Dynamics 365 data to Claude Desktop using CData JDBC drivers through a read-only interface.
Enables access to Jira data from Claude Desktop through CData JDBC Drivers, leveraging the Model Context Protocol (MCP).
Exposes Binary Ninja's reverse engineering capabilities to LLM clients via the Model Context Protocol.
Deploys a Model Context Protocol (MCP) server for integration with AI models like Microsoft Copilot Studio.
Enables natural language queries to live BigCommerce data via a read-only Model Context Protocol (MCP) server, integrating with tools like Claude Desktop.
Enables large language models to control a Minecraft character, facilitating automated in-game actions and interactions.
Integrates with the RDMS bug tracking system to enable direct reading, manipulation, and AI-powered image analysis of bug information for AI assistants.
Enables intelligent control of the DFRobot micro:Maqueen robot, leveraging Claude AI through an MCP Server.
Integrate Zerion's cryptocurrency portfolio management, DeFi, NFT, and market data API with AI assistants via the Model Context Protocol.
Leverages agentic RAG and the Model Context Protocol to dynamically source optimal context for accurate answers to complex queries.
Integrates Chess.com player data, enabling AI assistants to fetch real-time profiles and statistics from Chess.com's public API.
Orchestrates an end-to-end Model Context Protocol tooling system, featuring a FastMCP server and STDIO-based client with JSON-RPC, enabling multi-step tool chaining powered by Vertex AI Gemini.
Provides a high-performance, fault-tolerant vector database leveraging Erlang/OTP's Actor model for concurrent operations and distributed clustering.
Automates credit risk assessment and decision-making through an AI-driven multi-agent system, providing transparent and explainable financial solutions.
Facilitate clear communication and collaboration among decentralized AI agents through a semantic interoperability layer.
Provides long-term, persistent memory to AI agents, enabling them to recall past conversations and knowledge across sessions.
Bridges Claude with locally running LLM models via LM Studio, enabling communication and generation capabilities.
Automate the submission, monitoring, and notification of compute jobs on SLURM clusters or local subprocesses.
Enables AI assistants to search, recommend, and explore gift meal delivery products from SendaMeal.com.
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