Discover our curated collection of MCP servers for data science & ml. Browse 10430 servers and find the perfect MCPs for your needs.
Manages intelligent structured documents to prevent token overflow in large language models and ensure content consistency.
Provides Large Language Models (LLMs) with real-time context on Massachusetts beaches and current conditions.
Provides a powerful Retrieval-Augmented Generation (RAG) server with dynamic support for various embedding providers via the Model Context Protocol (MCP).
Enables AI assistants to intelligently read and process both scanned and digital PDF documents using integrated Optical Character Recognition (OCR) and a robust caching system.
Analyzes resumes against job descriptions to identify skill gaps, missing keywords, and improvement opportunities using AI.
Implements a server and client architecture to explore and test the MCP concept, leveraging Node.js, TypeScript, and Gemini AI capabilities.
Provides SQLite-backed memory for agents, featuring a CLI and programmatic API for robust storage and retrieval of information.
Manages and persists conversational context across sessions for AI agents.
Enables seamless semantic search over AWS Cloudscape documentation, assisting AI agents and coding assistants in retrieving relevant information.
Automate code quality analysis, identify improvement opportunities, and coordinate multi-AI agents for software development.
Invokes AI agents through an OpenAI-compatible Model Context Protocol server, allowing for customized prompts, models, and queries.
Access detailed transaction data across EVM, UTXO, Solana, XRP, and Kaspa blockchains via Crypto APIs.
Enables AI-powered querying and analysis of Paraguayan legislation for legal research and compliance.
Analyzes human behavior and intent using structured patterns derived from affective neuroscience and behavioral science frameworks.
Facilitates an agent-to-agent marketplace where AI entities exchange capabilities, datasets, and prompts.
Provides AI agents with persistent, searchable semantic memory powered by vector embeddings, operating as a local Model Context Protocol server.
Access Swedish agricultural grant data, including investment support and rural development schemes, through the Model Context Protocol.
Accesses comprehensive stock and financial intelligence from SEC EDGAR, providing tools for detailed financial analysis, SEC filings, insider trading data, and historical prices for AI agents.
Enable AI agents to securely connect, query, and manage data across various SQL databases with a unified interface.
Manages a Neo4j-style graph and vector hybrid for compliance reasoning and auditing.
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