Discover our curated collection of MCP servers for data science & ml. Browse 7565 servers and find the perfect MCPs for your needs.
Enables AI assistants to interact with the 0xMONK Trading Agent API for managing trading agents and executing trades.
Provides an AI-agent-driven server with a Gradio UI for penetration testing and purple team operations.
Facilitates a modular, production-ready multi-agent system for advanced math, research, weather, and summarization tasks.
Enables large language models like Claude Desktop to query live eBay Analytics data through CData JDBC Drivers.
Manages and controls AI meeting bots for recording, transcription, and interactive communication within various meeting platforms.
Analyzes meeting transcripts using a multi-agent AI system for summarization, key point extraction, and task identification.
Enables building and running Model Context Protocol (MCP) servers to expose tools and functions over streamable HTTP for AI assistants.
Integrates real-time weather data into large language models and Model Context Protocol clients.
Generates and serves dynamic bar and pie charts from structured data via a web-based API.
Transforms documentation into intelligent, searchable knowledge bases using advanced vector embeddings and Retrieval-Augmented Generation.
Enables AI assistants to query and retrieve information from PDF files containing food service standards and preparation guidelines.
Provides a minimal, production-ready TypeScript starter template for building Model Context Protocol (MCP) servers.
Provides detailed weather information, air quality data, and agricultural insights for Indian cities via a Model Context Protocol server.
Enables AI agents and applications to access Mapbox's comprehensive location intelligence platform for geospatial awareness.
Enables the deployment of a Model Context Protocol (MCP) server designed to deliver category-specific jokes and integrates it with Microsoft Copilot Studio.
Integrates OpenRouter.ai's diverse model ecosystem to provide advanced chat and image analysis capabilities.
Unify agent wrappers and tool servers through a modular Go implementation of the Model Context Protocol, offering a single OpenAI-compatible API.
Optimizes LLM usage by streamlining tool calls with code generation and sandbox execution for reduced costs and latency in any model.
Equips AI agents with persistent, local-first memory, enabling them to recall, analyze, and leverage past conversations and decisions.
Offers a collection of 33 utility APIs specifically designed for AI agents, featuring x402 micropayment integration, a unified wallet system, and zero API key requirements.
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