Discover our curated collection of MCP servers for data science & ml. Browse 10342 servers and find the perfect MCPs for your needs.
Enables LLMs and AI assistants to access real-time Dota 2 statistics, match data, and player information through a standard interface.
Analyzes images using OpenRouter vision models like Claude-3.5-sonnet and Claude-3-opus through a simple interface.
Find government grants based on keywords using the Simpler Grants API.
Integrates with the Climatiq API to enable AI assistants to calculate carbon emissions for various activities.
Demonstrates how to set up a Model Context Protocol (MCP) server and client using Server-Sent Events (SSE) for LLM prompting.
Unifies cryptocurrency trading and market data monitoring across multiple exchanges using a Model Context Protocol (MCP) server.
Transcribes audio files to text using a speech recognition API.
Enables AI assistants to search and analyze PubMed medical literature with advanced filtering, citations, and research tools.
Connects AI assistants to Microsoft SQL Server databases, offering 23 advanced tools for comprehensive database exploration and management.
Combines Qdrant vector search, Neo4j knowledge graphs, and Crawl4AI web intelligence into a cohesive platform for agentic RAG and AI assistant interactions.
Integrate Sunra.ai's AI model deployment and running capabilities into applications across multiple programming languages.
Integrates the Get Notes API into an MCP server, enabling AI-powered search and raw recall of knowledge from personal knowledge bases.
Enables AI assistants to interact with ComfyUI for generating images, video, audio, and 3D content.
Enables AI agents to perform comprehensive network security assessments using Nmap's industry-standard scanning capabilities.
Provides AI agents with deterministic calendar capabilities including atomic booking, conflict prevention, and precise temporal reasoning.
Reduces LLM token usage by semantically compressing prompts while preserving meaning and core constraints.
Manages structured reasoning, session persistence, and project memory for AI agents through a local server following a First Principle thinking framework.
Provides a read-only Model Context Protocol (MCP) server for Freqtrade codebase introspection, empowering LLMs to generate more accurate and reliable trading strategies.
Provides a comprehensive, plugin-oriented developer workspace for AI coding assistants, enabling professional-grade engineering workflows with specialized agents and skills.
Indexes codebase memory to provide AI coding assistants with grounded evidence, trace logic flows, and rank safe files for inspection or editing.
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