Discover our curated collection of MCP servers for data science & ml. Browse 5047servers and find the perfect MCPs for your needs.
Enables interaction with Google Drive files and Google Sheets, allowing for listing, reading, searching, and updating data.
Integrates Vibe Coding methodology with Knowledge Graph technology to enable AI-assisted software development.
Provides an MCP server implementation to access policies via a GraphQL API, enabling contextual awareness for language models.
Serves as an API endpoint to query models behind the Perplexity API using Model Context Protocol.
Unifies AI development tools with secure OAuth, dynamic tool discovery, and seamless access for autonomous agents and coding assistants.
Provides a modern, open-source analytics stack designed for data-driven organizations.
Optimizes PostgreSQL operations with 63 AI-native tools for query optimization, index tuning, EXPLAIN analysis, and comprehensive database health management.
Integrates AI-powered transcription capabilities directly into large language model assistants.
Enables Claude AI to interact with and execute queries against Clickhouse databases.
Manages development server processes and log monitoring, providing a streamlined interface for AI coding agents.
Provides a comprehensive Artificial General Intelligence system featuring 20 specialized tools for AI automation, advanced data processing, and intelligent task execution.
Access Eight Sleep Pod data through a Model Context Protocol (MCP) server.
Enables AI assistants to perform complex chemical calculations, thermodynamic modeling, and process engineering tasks through Model Context Protocol (MCP) servers.
Orchestrates and manages multiple AI agents built on Agentica for scalable, LLM-centric interactions.
Extracts transcripts from public YouTube videos for AI analysis and integration with tools like Cursor and Claude Desktop.
Orchestrates multiple AI models to provide enhanced code analysis, problem-solving, and collaborative development within CLI-based AI agents.
Enables LLMs to manage indices and execute queries against Elasticsearch clusters.
Exposes SFTP data as a read-only Model Context Protocol (MCP) server for querying with Large Language Models (LLMs).
Provides long-term memory for Large Language Models (LLMs) by implementing the Model Context Protocol (MCP).
Empowers AI coding assistants with semantic search across Apple's comprehensive developer documentation, WWDC transcripts, and code examples.
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