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。9573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。
Enables document question answering by ingesting and querying PDF documents using the GroundX API.
Enables interaction with ElevenLabs' Text to Speech and audio processing APIs through the Model Context Protocol.
Proxies and enhances the MLB Stats API, providing entity resolution and optimized data access.
Provides an MCP server enabling AI assistants to directly access and query a German family business knowledge graph database.
Provides a FastAPI-based Model Context Protocol server for Highway Capacity Manual analysis and transportation engineering calculations.
Provides real-time data for calculator, IP lookup, and weather functionalities via a Model Context Protocol server.
Empower teams to intelligently store, search, and share their collective knowledge through a shared memory system.
Enables AI agents to seamlessly interact with the Binance cryptocurrency exchange via a Model Context Protocol server.
Provides a lightweight Python server for secure database structure browsing and read-only querying via JSON-RPC, primarily for AI and LLM integrations.
Transforms your NFT collection into unique 3D origami patterns using AI sentiment analysis and algorithmic curation.
Facilitates the creation and connection of Model Context Protocol (MCP) servers to AI clients and local LLMs.
Enables natural language search for local browser bookmarks by processing and indexing their content.
Enables an innovative operating system experience that uses natural language for structure and control, powered by an LLM as its kernel.
Connects business data to AI assistants, enabling natural language querying of metrics across 130+ integrations.
Finds relevant Model Context Protocol (MCP) tools by intent using semantic search for efficient AI tool discovery.
Compresses and converts images to modern formats (AVIF, WebP, JXL, Jpegli) with a command-line interface or via an MCP server for AI agents.
Empowers AI agents to traverse, query, and maintain knowledge graphs within Obsidian vaults via a graph-aware MCP server.
Enables AI agents to query the TEI P5 specification and validate TEI XML for accurate reading and writing.
Provides AI agents with a comprehensive, local-first cognitive memory engine featuring namespace-isolated vector storage, advanced retrieval mechanisms, and knowledge graph capabilities.
Provides architectural context and dependency graphs to improve AI coding agent decisions and enhance developer understanding of growing codebases.
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