Discover our curated collection of MCP servers for data science & ml. Browse 8804 servers and find the perfect MCPs for your needs.
Enables LLMs to search and retrieve academic papers from arXiv, providing cleaned titles, abstracts, and content.
Enables the creation of MCP-compatible clients and servers in Go for AI model and application communication.
Enables Claude to interact with Strava data, providing access to activities, details, kudos, and laps.
Connects WordPress data to Large Language Models via a Model Context Protocol (MCP) server using CData JDBC Drivers.
Establishes a Model Control Protocol server with integrated Google Gemini LLM capabilities for AI application development.
Transforms feature ideas into executive-ready business cases by providing consulting-grade strategic business analysis and real-time market intelligence.
Integrates the Google Gemini Pro API with Claude Desktop, enabling advanced text and image analysis.
Facilitates seamless interaction with blockchain data, providing tools for building AI agents and explorers.
Enables AI assistants to interact with blockchain data and smart contracts through the MultiBaas platform.
Provides seamless access to over 249 production-ready APIs through the Model Context Protocol, enabling AI assistants and MCP-compatible clients to interact with a vast ecosystem of data and functionality.
Provides an execution control layer for AI agents to manage interactions with paid external APIs, ensuring cost control and deterministic behavior.
Provides a robust AI backend for retrieval-augmented generation (RAG) chat, enabling users to interact with their documents or engage in general conversations.
Provides a production-ready Model Context Protocol server built with Spring Boot, featuring reactive architecture, JWT authentication, and Docker containerization.
Analyzes technology ecosystem dynamics, platform competition, API dependencies, developer adoption, and tech stack risks.
Perform AI-powered local file searches on Windows, locating documents by their content and meaning entirely offline.
Manages shared versioned state for multi-agent AI workflows.
Integrates AI assistants with Teamfight Tactics game data for comprehensive analysis and personalized coaching.
Offers a pluggable and observable modular RAG service framework, exposing tool interfaces via MCP for direct integration with AI assistants like Copilot and Claude.
Empowers AI agents with persistent memory and human-in-the-loop approval functionality via the Model Context Protocol.
Integrates live cryptocurrency market data into Athena AI as an interactive, sortable widget.
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