Discover our curated collection of MCP servers for data science & ml. Browse 9932 servers and find the perfect MCPs for your needs.
Connects large language model clients to ODBC data sources, enabling data analysis and insight generation.
Orchestrates and manages multiple AI agents built on Agentica for scalable, LLM-centric interactions.
Facilitates querying large sports-themed question answering datasets via the Model Context Protocol.
Generates and saves images using Google's Gemini API, optionally guided by input images.
Wraps the Chatvolt API to manage agents, datastores, and CRM workflows via a Model Context Protocol server.
Provides AI assistants with access to sacred scriptures from major world religions via a Model Context Protocol server.
Provides an AI-driven server for comprehensive data quality assessment and enrichment within MCP-compatible environments.
Provides an MCP server for AI agents to interact with GitLab, offering extensive tools for repository, issue, merge request, and pipeline management.
Transforms OpenAPI 3.x specifications into Model Context Protocol (MCP) tools, enabling Large Language Models (LLMs) to interact with REST APIs.
Enables LLM-powered exploration and analysis of GitLab instances via a GraphQL-leveraging Model Context Protocol server.
Generates LLM-ready, effective prompts directly from the CLI, front-loading prompt engineering for agentic workflows.
Connects internal AI platforms, accessible via webhooks, to OpenWebUI and other Model Context Protocol (MCP) clients.
Enables an innovative operating system experience that uses natural language for structure and control, powered by an LLM as its kernel.
Exposes DocumentDB functionality as tools for Large Language Models (LLMs) and provides an Agent-to-Agent (A2A) agent for database management.
Provides tools, SDKs, and Model Context Protocol (MCP) servers for accessing, searching, and building AI applications on the Oak National Academy Open Curriculum data.
Provides accurate, org-specific Salesforce schema intelligence to large language models, preventing hallucination in code generation and analysis.
Exposes Apple Health data to Large Language Models for natural language querying and analysis.
Empowers AI agents with persistent memory, enabling recall of past knowledge and preservation of state across sessions.
Enables AI agents to fully interact with an Obsidian vault via a self-contained Model Context Protocol server.
Leverage AI to understand and explain any software codebase, from architecture to key functionalities.
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