Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 3327servers and find the perfect MCPs for your needs.
Orchestrator
Intelligently routes requests to various AI tools and services, providing a unified interface for complex tasks.
FEM
Enables AI agents to securely inhabit host environments, fostering collaborative interactions and resource sharing.
Suncture Healthcare
Provides healthcare-related tools for AI assistants, enabling them to offer practical healthcare information to users.
Oxenstierna
Provides tools to access the Swedish National Archives through various APIs.
Trendwatch
Provides a FastMCP server to automate the collection and analysis of trending YouTube Shorts, enabling integration with AI platforms.
Asana by CData
Connects Asana data to Claude Desktop using CData JDBC drivers via a read-only Model Context Protocol (MCP) server.
Expert Registry
Facilitates high-performance expert discovery, registration, and context injection using vector and graph database integration for enhanced semantic search.
Mcp-Projects
Facilitates experimentation with the Model Context Protocol (MCP) through various projects and files.
Facebook by CData
Enables querying live Facebook data from Large Language Models like Claude Desktop using natural language.
Code Sandbox
Creates secure code sandbox environments, executes code in Docker containers, and provides robust code execution capabilities for AI applications.
AI Examples
Provides a curated collection of practical AI and LLM examples using various frameworks and tools.
RateSpot
Provides AI assistants with real-time mortgage rates and comprehensive lending information via the RateSpot.io API.
Coingecko
Provides access to cryptocurrency data from the CoinGecko Pro API using Model Context Protocol (MCP) and OpenAI function calling.
NE Power Grid
Provides a standardized interface for AI models to access real-time information about the New England power grid.
Ephor Youtube
Integrates YouTube functionality into Large Language Models (LLMs) via the Model Context Protocol (MCP).
Workday by CData
Enables querying live Workday data from LLMs like Claude Desktop via a read-only Model Context Protocol (MCP) interface.
Epsilla
Facilitates Model Context Protocol interactions with Epsilla vector database.
Snapchat Ads
Connects large language models to live Snapchat Ads data, enabling natural language queries without SQL.
Model Context Protocol SDK
Facilitates the creation of Model Context Protocol (MCP) clients and servers in Python, enabling standardized context provision for Large Language Models (LLMs).
Librarian
Enables large language models to query Wikipedia for information and automatically fact-check factual claims.
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