Discover our curated collection of MCP servers for data science & ml. Browse 8948 servers and find the perfect MCPs for your needs.
Enables Large Language Models to interact dynamically with GraphQL APIs through schema introspection and query execution.
Enables Large Language Models (LLMs) to interact with MongoDB databases using natural language.
Enables language models and MCP-compatible clients to query PostgreSQL databases, including secure access via SSH bastion tunnels.
Enables interaction between Model Context Protocol (MCP) clients and Jupyter notebooks running in JupyterLab.
Analyzes real-time Twitter trends to identify potential business opportunities using Claude's AI capabilities.
Enables Large Language Models to analyze GitHub repositories in real-time.
Manages structured metadata fields, rules, and associated data to enhance asset organization and searchability.
Manages GitHub projects with AI-powered task management and comprehensive requirements traceability.
Connects Google Data Catalog data to large language models (LLMs) and AI clients through a Model Context Protocol (MCP) interface.
Enables large language models to query live SAP ByDesign data through a Model Context Protocol interface.
Offers a local-first TypeScript MCP server for Qdrant, facilitating client isolation, LM Studio integration, and scalable document workflows for retrieval-augmented generation.
Enables AI assistants to monitor and control Robot Operating System (ROS) environments through a standardized Model Context Protocol (MCP) interface.
Provides PyTorch AI/ML examples for Modal Context Protocol (MCP), Agent-to-Agent (A2A), RAG, and vLLM workflows, enabling reproducible and scalable pipelines for research and deployment.
Deploys a Model Context Protocol (MCP) server on Cloudflare Workers that operates without requiring authentication.
Builds a versatile MCP server with RAG capabilities, supporting multiple document formats using LangChain and ChromaDB for efficient data retrieval.
Provides an intelligent multi-agent AI system for personal organization, leveraging AWS Bedrock AgentCore Runtime and Strands Agents.
Provides a local environment for developing, testing, and debugging Model Context Protocol (MCP) agents and servers.
Provides real-time cryptocurrency prices, historical OHLCV data, and cross-exchange comparisons from major exchanges to AI assistants.
Empowers AI agents to see, interact with, and navigate mobile applications on both Android and iOS devices.
Provides programmatic access to the Turkish Ministry of Justice's legislation information system (mevzuat.gov.tr and bedesten.adalet.gov.tr) via a Model Context Protocol (MCP) server.
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