Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 2313servers and find the perfect MCPs for your needs.
SCAST
Analyzes and visualizes code by converting it into UML diagrams and flowcharts, enhanced with AI explanations.
Docs2Prompt
Aggregates documentation from GitHub repositories or URLs into a single file, optimized for use with Large Language Models (LLMs).
R Econometrics
Provides econometric modeling capabilities through R, enabling sophisticated data analysis.
Gemini
Exposes Google's Gemini model capabilities as standard Model Context Protocol (MCP) tools.
Mcp-Client-X
Demonstrates a client-server implementation using the Model Context Protocol (MCP) for connecting large language models with tools and data.
Jupyter Notebook Manager
Enables programmatic management of Jupyter notebooks, allowing interaction and manipulation of notebook content via code.
Mcpx-Py
Enables interaction with LLMs using mcp.run tools via a Python library.
Trino
Implements a Model Context Protocol (MCP) server for Trino in Go, enabling AI assistants to interact with Trino's distributed SQL query engine.
Ragdocs
Augment AI responses with context by retrieving and processing documentation through vector search.
Ai Agents Postgres
Extends a PostgreSQL MCP server with functionalities to create, read, update, and delete database tables and entries, facilitating LLM interaction with databases.
Stata
Leverage large language models to enhance regression analysis with Stata.
Nobitex
Provides access to cryptocurrency market data from the Nobitex API.
Coin
Retrieves cryptocurrency prices and information from the Bitget API.
PDF Reader
Securely reads and extracts text, metadata, and page counts from PDF files (local or URL) for use by AI agents.
AI Cursor Scraping Assistant
Generates web scrapers for various websites by leveraging Cursor AI and Model Context Protocol (MCP).
JigsawStack
Enables AI models to interact with JigsawStack models through a Model Context Protocol server.
Gemini Tutorial
Demonstrates how to build Model Context Protocol (MCP) servers with Google's Gemini 2.0 model.
McPAgentAI
Simplifies interaction with Model Context Protocol (MCP) servers by providing an easy-to-use Python interface for connecting, reading resources, and calling tools.
Safe Local Python Executor
Executes Python code generated by LLMs in a secure, locally-hosted environment, leveraging Hugging Face's LocalPythonExecutor and MCP for LLM application integration.
Redash
Integrates Redash with AI assistants like Claude via a Model Context Protocol (MCP) server.
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