Data Science & ML Servidores MCP
Descubre nuestra colección curada de servidores MCP para data science & ml. Explora 7327 servidores y encuentra los MCP perfectos para tus necesidades.
Gemini Search
Generates responses based on the latest information using the Gemini API and Google Search.
DBLP Access
Provides access to the DBLP computer science bibliography database for Large Language Models.
Structured Thinking
Enables LLMs to programmatically construct mind maps while enforcing metacognitive self-reflection.
Ragdocs
Augment AI responses with context by retrieving and processing documentation through vector search.
Datomic
Enables AI models to query a Datomic database using the Modex MCP library.
Mcpx-Py
Enables interaction with LLMs using mcp.run tools via a Python library.
Agentset
Enables developers to build intelligent, document-based Retrieval-Augmented Generation (RAG) applications.
Video Digest
Transcribes and summarizes video content from various online platforms using multiple transcription service providers.
Rag
Enables Retrieval Augmented Generation (RAG) capabilities for Large Language Models (LLMs) by indexing and retrieving relevant information from documents.
Mcpmarket
Facilitates the management and integration of various Large Language Model (LLM) services using Model Context Protocol (MCP) servers.
Fitbit
Connects a Large Language Model (LLM) to the Fitbit API, enabling data retrieval via Model Context Protocol (MCP).
Deep Research
Gathers comprehensive web research using Tavily's Search and Crawl APIs and structures the data for high-quality markdown document generation by LLMs.
Gemini Tutorial
Demonstrates how to build Model Context Protocol (MCP) servers with Google's Gemini 2.0 model.
Gemini DeepSearch
Automates multi-step web research using Google Gemini models and Google Search to synthesize information and produce citation-rich answers.
Rust Local RAG
Provides a high-performance, private Retrieval-Augmented Generation (RAG) server for searching PDF documents locally within Claude Desktop using Ollama embeddings.
Gemini CLI Orchestrator
Empowers AI agents and power users to conduct in-depth codebase analysis and execute context-heavy tasks with Google Gemini.
Daniel LightRAG
Integrates a comprehensive Model Context Protocol (MCP) server with LightRAG API, offering 22 tools for document management, querying, knowledge graph operations, and system management.
Deep Research Assistant
Automates complex research challenges and generates comprehensive reports through intelligent AI orchestration and human-in-the-loop interaction.
Tree-sitter Analyzer
Offers a scalable, multi-language code analysis framework for deep AI integration and robust command-line operations.
CodeScene
Exposes CodeScene’s Code Health analysis as local, AI-friendly tools for development environments.
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