Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 1610 servers and find the perfect MCPs for your needs.
MindsDB
Build AI applications that can learn and answer questions over large-scale federated data sources using a federated query engine.
GPT Researcher
Conducts in-depth web and local research on any topic, generating comprehensive reports with citations.
Smolagents
Enables the creation of powerful agents that think and act using Python code.
Anthropic Cookbook
Provides code examples and guides for building applications with Claude, Anthropic's AI assistant.
txtai
Enables semantic search, LLM orchestration, and language model workflows with an all-in-one embeddings database.
PydanticAI
Simplifies building production-grade Generative AI applications by integrating Pydantic with LLMs.
Graphiti
Builds and queries temporally-aware knowledge graphs tailored for AI agents operating in dynamic environments.
Opik
Debug, evaluate, and monitor LLM applications, RAG systems, and agentic workflows.
Phoenix
Provides an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting of LLM applications.
Jsondiffpatch
Compares and patches JavaScript objects, generating compact deltas for efficient updates and reversions.
Mcp-Go
Implements the Model Context Protocol (MCP) in Go, facilitating integration between LLM applications and external data sources and tools.
Viper
Facilitates adversary simulation and red team operations through a flexible platform with integrated AI.
Trafilatura
Extracts text and metadata from web pages and online resources, offering various output formats.
YouTube Transcript
Retrieves transcripts and subtitles from YouTube videos, including automatically generated ones, without requiring an API key or headless browser.
Model Context Protocol
Defines a specification and schema for the Model Context Protocol.
MiniMax-01
Provides access to large language and vision-language models based on linear attention for various natural language and multimodal tasks.
GenAIScript
Programmatically assembles prompts for LLMs using JavaScript to orchestrate LLMs, tools, and data in code.
Trieve
Provides all-in-one infrastructure for search, recommendations, Retrieval-Augmented Generation (RAG), and analytics via API.
Cognee
Provides a reliable memory layer for AI applications and AI agents, enhancing response accuracy and reducing hallucinations.
Pollinations
Generates images, text, and audio from text prompts using a free and open-source API.
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