Discover our curated collection of MCP servers for data science & ml. Browse 6792servers and find the perfect MCPs for your needs.
Provides call graph analysis capabilities to LLMs through a Model Context Protocol (MCP) server.
Integrates Google's OR-Tools constraint programming solver with Large Language Models using the Model Context Protocol for AI models.
Retrieves parsed search engine results from SerpApi for integration with MCP clients.
Provides language models access to Whoop API data including cycles, recovery, strain, and workouts.
Enables intelligent task delegation from high-capability AI agents to cost-effective LLMs through a Model Context Protocol (MCP) server.
Provides a standardized interface for interacting with Spiral's language models via a Model Context Protocol (MCP) server.
Provides secure database access capabilities for LLMs by integrating with MySQL databases.
Enables AI models and agentic applications to interact with Apache Kafka for message publishing and consumption.
Generates AI images using Stable Diffusion models and integrates with development environments via the Model Control Protocol (MCP).
Exposes Binance cryptocurrency exchange data to Large Language Model (LLM) agents through a standardized interface.
Connects LangChain.js-compatible LLMs with MCP servers for building flexible AI agents with dynamic tool access and multi-server support.
Enables AI assistants to debug Go applications by providing an MCP server interface to the Delve debugger.
Enables agents and LLMs to view, rent, and manage GPU instances on the Hyperbolic cloud.
Enables AI assistants and external tools to leverage Visual Studio Code's Language Server Protocol (LSP) features for advanced code intelligence via the Model Context Protocol (MCP).
Integrates Sourcegraph's code search capabilities into an AI-enhanced Model Context Protocol server.
Extracts actionable AI service optimization tips from community discussions on platforms like Reddit.
Automate the creation of complete RPG Maker MZ games programmatically, including AI-generated assets and scenarios.
Establishes a bi-directional protocol bridge between Claude 4.5 Sonnet and GLM-4.6, enabling real-time architectural consultation for system design and technical decision-making.
Enables AI agents to interact with HPC resources, scientific data formats, and research datasets for scientific computing.
Transforms Blender into an MCP server, enabling AI agents to control its 3D environment using over 50 powerful tools via API.
Scroll for more results...