data science & ml向けの厳選されたMCPサーバーコレクションをご覧ください。10275個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Extracts content from PDF files using a local file path.
Enables AI models to search, retrieve, and utilize GIFs from Giphy.
Enables interaction with MySQL databases via AI models, providing tools for query execution, schema inspection, and data analysis.
Provides access to Jina AI's web services through Claude, enabling web page reading, web search, and fact-checking.
Retrieves cryptocurrency prices and information from the Bitget API.
Supports multiple language implementations of the Votars MCP server for seamless integration with the Votars AI platform.
Enables AI systems to query market prices in Turkey.
Extracts text and performs OCR on documents, including document text recognition, ID recognition, and invoice recognition.
Integrates BatchData.io's property and address APIs with AI assistants like Claude for real estate data access via natural language.
Provides a Model Context Protocol server integrating Google AI Studio and Gemini API for multi-modal content generation, file processing, PDF-to-Markdown conversion, image analysis, and audio transcription.
Empowers AI agents and power users to conduct in-depth codebase analysis and execute context-heavy tasks with Google Gemini.
Enables agent-driven research on Brazilian law by providing access to official legal sources through a Model Context Protocol server.
Integrates a comprehensive Model Context Protocol (MCP) server with LightRAG API, offering 22 tools for document management, querying, knowledge graph operations, and system management.
Empowers AI agents with enterprise-grade access to Kotlin-based Android development projects, enabling AI-assisted coding and comprehensive project management.
Extends local LLMs with capabilities like web search, code execution, and persistent memory.
Automates security testing, vulnerability research, and bug bounty hunting with AI-powered capabilities and extensive integrations.
Provides AI assistants with deep, structured understanding of codebases, enabling offline search for definitions, reference tracing, and Git history exploration.
Indexes code deeply to provide AI agents with precise, structured lookups, drastically reducing orientation time and enhancing code understanding.
Provides a persistent, file-system inspired context store for AI agents, enabling nuanced knowledge accumulation and retrieval.
Offers a comprehensive collection of industry-standard skills and production-grade tools built on the Model Context Protocol (MCP) for AI-assisted development.
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