Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 3288servers and find the perfect MCPs for your needs.
ThinkGPT
Augment Large Language Models with advanced agent techniques for enhanced reasoning, memory, and intelligent decision-making.
LoopGPT
Provides a modular and extensible Python framework for building and managing Auto-GPT agents.
Paperai
Enables semantic search and workflow automation for medical and scientific papers using AI.
Solana Agent Kit
Connect any AI agent to Solana protocols for autonomous interaction with web3 functionalities.
ArXiv
Enables AI assistants to search and analyze arXiv papers through a simple Model Context Protocol interface.
Perplexity Ask
Connects to the Perplexity API, enabling real-time, web-wide search within the Model Context Protocol ecosystem.
Zenfeed
Empowers RSS with AI to automatically filter, summarize, and deliver important information, reducing information overload.
Lunary
Offers a comprehensive production toolkit for large language models, providing observability, prompt management, and evaluation capabilities to enhance LLM development.
Crawl4AI RAG
Empowers AI agents and coding assistants with web crawling and retrieval-augmented generation (RAG) capabilities.
Rulego
Orchestrates components within a lightweight, high-performance rule engine framework for Go applications.
Minions
Enables collaboration between small, on-device LLMs and larger cloud-based models for cost-efficient language processing.
Chatsum
Summarizes chat messages based on user queries.
LitterBox
Provides a secure sandbox environment to test payloads against detection mechanisms before deployment.
Bright Data
Empowers AI agents to access, discover, and extract real-time web data, bypassing restrictions and bot detection.
VectorChord
Provides scalable, fast, and disk-friendly vector search capabilities directly within PostgreSQL.
Langcorn
Serves LangChain LLM applications and agents as robust FastAPI-powered API endpoints.
LocalAGI
Provides a powerful, self-hostable AI Agent platform for maximum privacy and flexibility, acting as a complete drop-in replacement for OpenAI's Responses APIs with advanced agentic capabilities on consumer-grade hardware.
Fast
Integrates AI models into Ruby applications via the Model Context Protocol.
Npcpy
Facilitates the integration of AI models into daily workflows through agent-based frameworks and command-line tools.
Qdrant
Connects language models to a Qdrant vector database for storing and retrieving information.
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