Discover our curated collection of MCP servers for data science & ml. Browse 7327servers and find the perfect MCPs for your needs.
Enables saving, searching, and formatting memories with semantic understanding directly from Cline and Claude Desktop using a Memory Box instance.
Enables AI models to securely access and read local files using the Model Context Protocol (MCP).
Enhance literature reviews by enabling LLMs to access and interact with academic papers.
Enables precise robotic movement control through linear and angular velocity manipulation.
Enables querying of Dataverse environments using SQL through the Model Context Protocol (MCP).
Enables natural language querying of Google Earth Engine datasets, task execution, and visualization within chat interfaces.
Provides access to Federal Reserve Economic Data (FRED) for Large Language Models (LLMs) like Claude.
Exposes Root Signals evaluators as tools for AI assistants and agents, allowing for automated response evaluation against quality criteria.
Extends Large Language Models' capabilities to access comprehensive Emacs environment and configuration information.
Retrieves requirement and defect data from the TAPD platform to support AI client applications.
Provides an advanced AI companion experience featuring emotional intelligence, sophisticated memory management, and extensive tool integration.
Provides AI assistants with real-time access to YouTube data for searching, analysis, and detailed content retrieval.
Provides persistent memory and instruction management for VS Code's GitHub Copilot, ensuring it remembers user preferences and context across conversations.
Integrates with Apple Notes to create a personal memory system for AI, enabling recall and saving of information from macOS.
Provides access to the gnomAD GraphQL API for AI assistants.
Provides a persistent semantic memory server, offering long-term context and recall for AI assistants across conversations.
Convert REST API specifications into MCP (Model Context Protocol) tools for AI agents.
Provides a high-performance, enterprise-ready MCP server for intelligent codebase analysis, featuring fast local indexing for millions of lines of code.
Empower large language models with comprehensive data analysis and machine learning capabilities through a unified server.
Indexes code deeply to provide AI agents with precise, structured lookups, drastically reducing orientation time and enhancing code understanding.
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