Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 2324servers and find the perfect MCPs for your needs.
Test Server
Enables Retrieval Augmented Generation (RAG) systems by providing a Python server that leverages OpenAI's vector store capabilities using the Model Context Protocol (MCP).
Hackernew
Provides an AI-friendly server for interacting with Hacker News data.
Osmmcp
Provides precision geospatial tools for large language models (LLMs) through the Model Context Protocol (MCP).
Salesforce Connector
Integrates large language models with Salesforce data through SOQL queries and SOSL searches.
Gemini
Enables LLMs to perform intelligent web searches and return synthesized responses with citations using Google's Gemini API.
Ingest
Ingests APIs, SDKs, and schemas for consumption by AI models via the Model Context Protocol (MCP).
AI Agents
Implements AI-powered agents that interact with a multi-channel processing (MCP) server for intelligent tasks and automation.
Dbgmcp
Connect debuggers such as GDB, LLDB, and PDB to LLM agents using the Model Context Protocol.
Spotify Assistant
Enables AI assistants to interact with Spotify playlists and top tracks.
Popmelt
Provides a framework for next-generation AI personalization that maintains consistent design and interaction patterns.
GSheets
Enables reading, writing, and managing Google Sheets data directly from an MCP client.
Mbta
Provides Boston-area transit information by communicating with the MBTA API.
Augmented Nature UniProt
Provides comprehensive access to the UniProt protein database via the Model Context Protocol (MCP).
Toshl
Integrates Toshl Finance with AI agents, enabling access to financial data for analysis and insights.
Collection
Bridges Large Language Models to external tools and APIs through custom Model Context Protocol (MCP) server implementations.
BCI
Integrates brain-computer interface technology with the Model Context Protocol for neural signal processing and AI interaction.
Calista Research LLMs
Enables on-device and cloud language models to collaborate, reducing cloud costs while maintaining quality by reading long contexts locally.
SAP SuccessFactors by CData
Connects SAP SuccessFactors data to LLMs like Claude Desktop via a read-only Model Context Protocol (MCP) server.
Vector Sync
Automatically synchronizes multi-tenant search vectors with Supabase using a 100% event-driven system.
Gres API
Provides a minimalist AI command server for agents and developers to snap pages, grab sites, source docs, and ask questions via a single interface.
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