Discover our curated collection of MCP servers for data science & ml. Browse 7565 servers and find the perfect MCPs for your needs.
Accesses and retrieves economic data series from the Federal Reserve Economic Data (FRED) API.
Enables querying and managing MLflow tracking servers using natural language via the Model Context Protocol (MCP).
Provides access to Formula One data and statistics using the FastF1 Python library through a Model Context Protocol (MCP) interface.
Accesses protein function and sequence information directly from UniProt.
Orchestrates AI agents for automated research tasks using a multi-agent framework.
Organizes and manages various sources, such as papers, books, and webpages, integrating them with knowledge graphs.
Exposes a SQLite database as an MCP server with table schemas, read-only SQL query capabilities, and prompt templates for data analysis.
Enables natural language querying of Google Earth Engine datasets, task execution, and visualization within chat interfaces.
Enables Claude Desktop to access and analyze open datasets from Socrata-powered government data portals.
Enables AI models to query and retrieve comprehensive materials science data from the Materials Project database via a Model Context Protocol server.
Facilitates AI agents in connecting with and manipulating AITable datasheets.
Provides persistent memory and instruction management for VS Code's GitHub Copilot, ensuring it remembers user preferences and context across conversations.
Streamlines development workflows by providing consistent environments, tooling configurations, and coding patterns for modern AI Agentic coding across multiple repositories.
Provides access to the gnomAD GraphQL API for AI assistants.
Orchestrates multi-agent workflows and intelligent task management for software development, integrating with OpenRouter and cross-IDE environments.
Integrates tens of thousands of Alibaba Cloud OpenAPI services directly into AI applications and workflows through the Model Context Protocol (MCP).
Enables AI assistants to access real-time web data and perform deep content extraction through native tool integration.
Provides a unified interface to query public French legal APIs, including Légifrance for legislation and JudiLibre for jurisprudence, enabling enhanced large language model interactions.
Enables AI agents to interact with Google BigQuery databases via natural language queries and schema exploration.
Indexes code deeply to provide AI agents with precise, structured lookups, drastically reducing orientation time and enhancing code understanding.
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