Discover our curated collection of MCP servers for data science & ml. Browse 8804 servers and find the perfect MCPs for your needs.
Connects large language model clients to ODBC data sources, enabling data analysis and insight generation.
Enables AI models to create and manipulate PowerPoint presentations through a comprehensive API.
Enables LLMs to securely read and list files from a designated directory on a local machine.
Logs and retrieves the reasoning process, intended actions, and executed steps for AI agents or collaborative projects.
Provides access to Hong Kong law and security related data through a FastMCP interface.
Provides multi-platform translation for text, Markdown, and Obsidian notes utilizing large language models.
Converts various document types, including PDF, DOCX, PPTX, and images, into clean Markdown suitable for RAG/LLM workflows on the Apify platform.
Enables AI agents to search for synthesizable building blocks and screening compounds through exact, substructure, and similarity queries.
Enables natural language building design by connecting Claude Desktop to BULC fire simulation software.
Manage personal finances and track expenses through natural language conversations with AI assistants.
Provides a full-stack template for building AI agents using LangGraph.js on the frontend and Model Context Protocol on the backend.
Orchestrates fast, local virtual machines with QEMU/KVM, providing isolated environments and native Model Context Protocol support for AI agents.
Indexes codebases into semantic, searchable chunks using AST parsing, Tree-sitter, and embeddings, making code comprehensible for AI assistants and LLMs.
Synthesize realistic audio using the Qwen3-TTS 1.7B model with advanced voice design and cloning capabilities.
Enables semantic search over local PDF, Excel, SQL, Markdown, and HTML files using a vector database and AI embeddings.
Enables Google Gemini to retrieve and update project context and DNA from Foundational AI-context Format (.faf) files via a Google Cloud Function endpoint.
Provides a Model Context Protocol (MCP) server that empowers AI models with instant project context using the Foundational AI-context Format (FAF).
Empowers AI agents to achieve ultra-fast, comprehensive control over Android devices for UI observation, interaction, and app management.
Provides an AI-powered internet search service leveraging Moonshot AI (Kimi) via the Model Context Protocol (MCP).
Exposes Raspberry Pi hardware and system capabilities through APIs, allowing AI agents and automation systems to interact with real-world devices.
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