Discover our curated collection of MCP servers for data science & ml. Browse 8922 servers and find the perfect MCPs for your needs.
Enhances LLM responses with factual, real-time web content via Jina.ai's Grounding API.
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.
Connects a Weaviate vector database to an MCP (Multi-Channel Platform) server.
Exports PDF files to markdown format, optimized for use with Large Language Models (LLMs).
Provides a powerful server for seamless cloud-based sandbox management using Modal.com for AI and LLMs.
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.
Empowers AI assistants to perform PostgreSQL database operations through natural language queries and safe SQL execution using a specialized Model Context Protocol server.
Transform domain models into executable, shared assets for humans, systems, and AI agents, eliminating guesswork and rework.
Provides safe, read-only access to PostgreSQL, MySQL, and ClickHouse databases for comprehensive exploratory data analysis.
Provides persistent AI memory with hybrid search, semantic capabilities, and embedded synchronization across multiple machines.
Connects AI assistants to authoritative natural hazard data sources, providing real-time monitoring and configurable alerts for critical global events.
Generates AI-powered trading signals by fusing multi-source data with 11 technical indicators, enabling backtesting and paper trading.
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.
Aggregates and organizes over 200 specialized AI skills, prompts, and coding tasks for seamless integration with various AI assistants.
Provides persistent memory for GitHub Copilot, ensuring context is retained across chat sessions.
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.
Provides an advanced AI memory layer and agent tools, serving as a powerful Model Context Protocol (MCP) server for AI coding assistants.
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