Data Science & ML MCP Servers

Discover our curated collection of MCP servers for data science & ml. Browse 1203 servers and find the perfect MCPs for your needs.

Securely reads PDF files (local or URL) and extracts text, metadata, or page counts for AI agents.

Integrates Jina AI's Search API to provide LLMs with efficient and comprehensive web search capabilities.

Enables LLMs and AI assistants to access real-time Dota 2 statistics, match data, and player information through a standard interface.

Enables interaction with the Explorium API as a Model Context Protocol (MCP) server.

Orchestrates AI agents for automated research tasks using a multi-agent framework.

Enables Claude to maintain user context and manage profiles through Apache Unomi, a Customer Data Platform.

Integrates Google's Gemini Pro model with the Model Context Protocol for use in applications like Claude Desktop.

Enables AI agents to interact with PostgreSQL databases through a standardized Model Context Protocol (MCP) interface.

Fetches stock data, news, and financial information from Yahoo Finance using an MCP server.

Implements a Model Context Protocol (MCP) server for semantic vector search and memory management using TxtAI.

Enables standardized interaction with OpenMetadata through the Model Context Protocol.

Performs financial analysis by providing access to real-time and historical stock data, along with company fundamentals.

Downloads YouTube subtitles using yt-dlp and connects them to claude.ai via Model Context Protocol.

Enables large language models to access the Perplexity search API through the Model Context Protocol (MCP).

Stores and retrieves AI assistant interaction data using a Neo4j graph database.

Enables access to Hanzo AI and platform capabilities through the Model Context Protocol (MCP).

Provides web content searching and fetching capabilities through the Jina Reader API.

Enables AI agents to access and interact with DAO governance data from the Tally API.

Enables AI assistants to perform intelligent searches using the Baidu Wenxin API.

Enables interaction with Cube semantic layers through an MCP server.

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