data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 10275개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Integrates ComfyUI workflows into Open WebUI pipelines for image generation.
Processes emails from Outlook, stores them in SQLite, and generates vector embeddings for semantic search.
Enables retrieval and analysis of Ramp data for LLM integration via a Model Context Protocol server.
Provides access to cryptocurrency market data, portfolio tracking, and news via the CoinStats API.
Enables language models to search and retrieve Wikipedia articles programmatically.
Performs gene set enrichment analysis using the Enrichr API within a Model Context Protocol server.
Enables AI agents to automate and manage Azure DevOps operations, including boards, repositories, pipelines, artifacts, test plans, and wikis.
Provides programmatic access to Israeli Land Authority (רמ״י) public tender data.
Enables AI agents to explore and analyze decentralized finance yield opportunities using data from DefiLlama.
Connects AI agents and large language models with diverse scientific computing resources and datasets via a standardized protocol.
Automate H-1B job searching and analyze sponsorship data using official U.S. Department of Labor LCA disclosures.
Provides AI agents with persistent, searchable, and versioned long-term memory that endures across conversations and tools.
Enables AI assistants and agents to evaluate responses against various quality criteria using Root Signals evaluators via the Model Context Protocol (MCP).
Integrates IDA Pro's powerful binary analysis capabilities with Large Language Model clients via a standalone server plugin.
Provides a local Retrieval Augmented Generation (RAG) CLI and MCP server to index documents and code, enabling questions via terminal or agent tools.
Empower large language models to process and understand audio by converting raw sound into structured analytical data.
Provides persistent cognitive infrastructure for AI systems, offering semantic memory, emotional processing, and identity continuity.
Provides persistent memory and self-awareness for Claude Code, automatically tracking mistakes, decisions, and context across development sessions.
Provides AI coding agents with persistent, searchable memory of your codebase, significantly reducing token usage and response times.
Indexes local files and codebases, enabling massive token savings for AI tools like Claude through hybrid search and intelligent context retrieval.
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