Discover our curated collection of MCP servers for data science & ml. Browse 10428 servers and find the perfect MCPs for your needs.
Connects Amazon Q Business cross-app index to applications via the Model Context Protocol (MCP).
Empowers Large Language Models (LLMs) with specialized knowledge about fountain pen inks, enabling intelligent search, color matching, and recommendations.
Converts frontend project code logic into AI-understandable flowcharts and object structures using the Model Context Protocol.
Monitors wildfires and assesses risk by integrating satellite thermal anomalies, weather indices, and air quality data.
Leverages Retrieval-Augmented Generation (RAG) to provide a powerful question-answering system for documents and code, featuring Google AI integration and multiple API interfaces.
Enables the deployment of a Model Context Protocol (MCP) server designed to deliver category-specific jokes and integrates it with Microsoft Copilot Studio.
Transforms local and distributed hardware into a single, OpenAI-compatible LLM gateway, enabling secure, production-grade access to diverse language models.
Provides granular AI access control for environment variables, securing sensitive `.env` data for AI agents.
Exposes Portainer environment data to AI models via the Model Context Protocol, with enhanced support for regular Docker Compose stacks.
Aggregates multiple web search engines with intelligent caching, cost-aware routing, and result fusion for AI agents.
Provides AI assistants with access to real-time space data and an extensive catalog of celestial information through 18 read-only tools.
Provides read-first blockchain verification infrastructure for on-chain conditions across 32 blockchains, returning ECDSA-signed, privacy-preserving booleans.
Integrates autonomous AI agents with Google Sheets and Google Apps Script by providing a comprehensive set of spreadsheet and script execution tools.
Indexes diverse document types including PDFs, Markdown, and code, enabling Claude to perform semantic queries using local Ollama embeddings and ChromaDB.
Connects Large Language Models (LLMs) to your WHOOP data, providing access to recovery, sleep, workout, and physiological insights.
Augment AI assistants with 61 structured cognitive tools across 8 modules for enhanced ideation, decision-making, hypothesis tracking, and more.
Equips Model Context Protocol clients with 10 fundamental capabilities, including HTTP requests, shell command execution, sandboxed JavaScript, file operations, and persistent memory management.
Connects Large Language Model (LLM) agents to the Front Platform API, enabling secure read, search, manage, and action capabilities across 26 tools and 200+ actions.
Query federal election campaign finance data to analyze candidates, money trails, and election filings.
Proxies the Google Stitch API through the MCP protocol, enabling AI-powered UI design generation and management via Claude Code.
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