Discover our curated collection of MCP servers for data science & ml. Browse 5177servers and find the perfect MCPs for your needs.
Enables AI agents to explore and analyze decentralized finance yield opportunities using data from DefiLlama.
Provides an interface for developers to interact with the CB Insights ChatCBI LLM through AI Agents.
Enables users to explore data and prototype projections within KurrentDB.
Enhance literature reviews by enabling LLMs to access and interact with academic papers.
Unifies cryptocurrency trading and market data monitoring across multiple exchanges using a Model Context Protocol (MCP) server.
Exposes Root Signals evaluators as tools for AI assistants and agents, allowing for automated response evaluation against quality criteria.
Explore, experiment, and apply Generative AI concepts and tools in practical, everyday scenarios.
Enables interaction with Timeplus clusters through an MCP server, providing tools for querying, listing databases and tables, and managing Kafka topics and streams.
Intelligently engineers and optimizes prompts for Claude Code, offering interactive refinement and automatic optimization capabilities.
Enables integration between Strava APIs and Claude for Desktop.
Provides a comprehensive Model Context Protocol (MCP) server for advanced graph analysis capabilities using NetworkX.
Enables Large Language Models to interact with and query Microsoft SQL Server databases.
Enables querying and managing MLflow tracking servers using natural language via the Model Context Protocol (MCP).
Processes GitHub repositories into an AI-friendly format, allowing AI models to access and understand code context.
Organizes and manages various sources, such as papers, books, and webpages, integrating them with knowledge graphs.
Exposes OpenAI agents and tools as a Model Context Protocol (MCP) server.
Orchestrates AI agents for automated research tasks using a multi-agent framework.
Index a local codebase to provide context-aware information to AI clients like Cursor or Claude.
Enables AI models to securely access and read local files using the Model Context Protocol (MCP).
Exposes Covalent's GoldRush APIs as Model Context Protocol (MCP) resources and tools for large language models.
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