Discover our curated collection of MCP servers for data science & ml. Browse 9106 servers and find the perfect MCPs for your needs.
Provides a simplified and configurable interface to the CoinGecko cryptocurrency data API via a Node.js Express server.
Enables Claude to fetch and analyze YouTube video transcripts.
Provides a Next.js project bootstrapped with create-next-app to assist in learning AI concepts.
Connects Large Language Models (LLMs) to the Prometheus HTTP API.
Facilitates access and analysis of clinical evidence data to support precision medicine and oncology research.
Exports PDF files to markdown format, optimized for use with Large Language Models (LLMs).
Provides an LLM service leveraging Spring Boot Java.
Provides a powerful server for seamless cloud-based sandbox management using Modal.com for AI and LLMs.
Retrieves YouTube video transcripts, enabling AI models to easily access and utilize subtitle data.
Demonstrates building and utilizing Model-Computer Protocol (MCP) Client and Server components to facilitate an end-to-end process from user query to large model response, incorporating tool and service invocation.
Transform images using natural language prompts and powerful augmentation techniques via the MCP protocol.
Empowers AI assistants to perform PostgreSQL database operations through natural language queries and safe SQL execution using a specialized Model Context Protocol server.
Manages Mistral AI agents through a REST API, enabling creation, listing, retrieval, deletion, and searching capabilities.
Spawn and manage AI coding agents from various backends, enabling parallel execution of complex development tasks.
Provides AI coding agents with persistent institutional memory, allowing them to learn from past experiences and improve across coding sessions.
Integrates local Ollama models as accessible tools for AI assistants, enabling powerful AI capabilities directly from your computer.
Analyze geopolitical equilibrium disruptions, state actor strategies, and international power dynamics through multi-source intelligence aggregation.
Provides local semantic search and knowledge retrieval for Git repositories using vector embeddings.
Facilitates AI agent interaction with on-chip debug probes, enabling conversational control over embedded targets for flashing, debugging, and inspection.
Equips AI coding agents with an external brain to provide comprehensive code intelligence, overcoming limited context windows and preventing blind edits.
Scroll for more results...