Discover our curated collection of MCP servers for data science & ml. Browse 7565 servers and find the perfect MCPs for your needs.
Exposes YouTube summarization APIs as tools compatible with the MCP (Meta-Control Protocol).
Provides real-time access to transportation information from Singapore's Land Transport Authority (LTA) DataMall API.
Generates images from text prompts using the Replicate API and a Model Context Protocol server.
Retrieves real-time weather data using the OpenWeatherMap API.
Enables language models to interact with Strava data, providing access to activities, athlete information, and more.
Integrates AI models with the Australian Pharmaceutical Benefits Scheme (PBS) API for accessing medicine, pricing, and availability data.
Enables large language models to interact with the Alpaca trading API for stock trading and account management through natural language.
Enables Large Language Models to directly query and interact with Azure Cosmos DB data.
Provides standardized access to Swiss court decisions via the entscheidsuche.ch API, enabling LLMs to search, retrieve, and analyze legal documents.
Enables AI-powered code search using the Exa API within an MCP environment.
Provides seamless access to economic and financial time series data from the Central Reserve Bank of Peru (BCRP) via a standardized Model Context Protocol interface.
Provides access to Etherscan blockchain data for LLM applications via the Model Context Protocol.
Enables AI assistants and LLM applications to securely control Universal Robots functionality for real-time operation and monitoring.
Facilitates AI assistants and other MCP-compatible clients in searching, filtering, and retrieving bug bounty program data from the Immunefi platform.
Enhances LLM agent capabilities with semantic code search, structural code views, and an intelligent workspace TUI for efficient context management.
Generates and manages slash commands for AI coding assistants via a Python CLI and MCP server, streamlining interaction with tools like Cursor and Claude Code.
Provides persistent memory and self-improving capabilities for Claude Code and OpenAI Codex CLI through a Model Context Protocol (MCP) server.
Reads WeChat Official Account articles by bypassing anti-scraping mechanisms using a headless browser for large language models.
Enrich OpenTelemetry traces with AI agent-ready context for autonomous incident diagnosis and resolution across JVM backends and browser frontends.
Benchmark local LLM models to assess speed, quality, and hardware fitness, generating a shareable global score and leaderboard rank.
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