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。8944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。
Provides an MCP server for managing vector embeddings, collections, and documents within ChromaDB.
Integrates Spring AI with Ollama through a REST API.
Analyzes cryptocurrency wallets' trading activity and profitability on Pump.fun and PumpSwap platforms.
Enables Large Language Models like Claude Desktop to query live Jira Service Management data via a Model Context Protocol interface.
Enables high-performance, scalable image generation using DALL·E 3 through a standardized Model Context Protocol (MCP) interface.
Provides an AI-driven blockchain explorer for real-time data queries, account analysis, and transaction monitoring via natural language interaction.
Accesses Polish Parliament (Sejm) APIs and the European Legislation Identifier (ELI) database to provide comprehensive legal and parliamentary data.
Searches and retrieves academic papers from major databases like arXiv and DBLP, providing detailed information and PDF download links.
Transforms documents into searchable knowledge bases with AI-powered semantic search.
Enables AI assistants to interact with the Swiss I14Y Interoperability Platform, accessing national metadata for concepts, datasets, data services, and public services.
Builds reliable, context-aware AI agents by integrating LangGraph with Model Context Protocol for semantic search, grounded responses, and automated evaluation.
Enables AI agents and Large Language Models to interact with Starknet smart contracts, facilitating automated Web3 application workflows.
Provides a unified interface to query and manage 16 different databases using natural language.
Provides reference implementations for the Model Context Protocol, enabling Large Language Models with secure, controlled access to external tools and diverse data sources.
Enables Claude Code to delegate advanced AI tasks to IBM watsonx.ai foundation models like Granite, Llama, and Mistral.
Connects Amazon S3 and S3-compatible object storage to AI assistants for secure data management.
Transforms a researcher's publications, datasets, and code repositories into a conversational Digital Twin on a federated platform, facilitating inter-agentic research discovery.
Establishes a shared debugging memory for AI coding agents to collectively report, patch, and verify software issues.
Enables AI agents to interact with terminal applications by converting raw terminal output into a structured Terminal State Tree.
Provides a structured interface for AI agents to programmatically access and interact with European Nucleotide Archive (ENA) REST services.
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