发现我们为 data science & ml 精心策划的 MCP 服务器集合。浏览 6274 个服务器,找到满足您需求的完美 MCP。
Provides AI assistants with access to comprehensive bird data via the AviBase dataset.
Offers a comprehensive suite of Model Context Protocol (MCP) modules for AI assistants, enabling system operations, Google services integration, and advanced text processing.
Establishes an MCP server leveraging the Tavily API for robust web search functionalities.
Provides a server interface for interacting with WolframScript, enabling programmatic evaluation of Wolfram Language code and retrieval of Wolfram Engine details.
Provides a lightweight server for personal finance management, financial news simplification, and local purchasing power comparisons.
Enables an AI agent to manipulate a SQL database for retail car management.
Enables AI Copilot tools to securely interact with SSH and PostgreSQL resources through policy-driven access controls.
Provides real-time weather information and summaries through a mock API, exposed as both REST endpoints and Model Context Protocol (MCP) tools.
Answers computer science questions, summarizes research papers, and visualizes concepts by leveraging the arXiv dataset.
Facilitates seamless integration between Claude and OpenAI's GPT-5 API using the Model Context Protocol.
Provides intelligent weather services through an orchestrated multi-server agentic architecture with local LLM integration.
Searches, analyzes, and recommends developer tools using AI-powered web scraping and a Large Language Model.
Provides a production-ready and extensible template for building Model Context Protocol (MCP) async servers in Python.
Provides a multi-tenant Retrieval-Augmented Generation (RAG) server for querying isolated document collections.
Explores and demonstrates artificial intelligence concepts through proof-of-concept implementations.
Automates the generation of time-blocked daily task lists by intelligently prioritizing calendar events, new tasks, and outstanding items.
Enables natural language interaction with local large language models to trigger custom Python-based tool executions.
Provides privacy-respecting web search capabilities to AI applications and other services via an MCP server.
Monitors wildfires and assesses risk by integrating satellite thermal anomalies, weather indices, and air quality data.
Offers a starter template for Model Context Protocol (MCP) servers, allowing AI assistants like Puch to securely integrate with external tools and data sources.
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