Discover our curated collection of MCP servers for data science & ml. Browse 6999servers and find the perfect MCPs for your needs.
Connects Claude AI to the BrianKnows API, providing access to blockchain and DeFi knowledge.
Implements an MCP server for Prem AI, enabling integration with Claude and other MCP-compatible clients.
Augments Claude with Python code execution, shell command capabilities, and file manipulation.
Provides AI models access to fictional cat data via the Model Context Protocol.
Enables users to upload PDF documents, process them, and ask questions about their content using natural language, powered by Retrieval Augmented Generation (RAG).
Enables querying of live CockroachDB data within LLMs like Claude Desktop through a Model Context Protocol (MCP) interface.
Enables querying of live Xero data from Large Language Models like Claude Desktop using natural language through a Model Context Protocol (MCP) interface.
Manages and queries research journal metadata on Notion, leveraging arXiv data and vector embeddings for efficient retrieval.
Delivers custom prompts to guide bot interactions within an MCP client environment.
Orchestrates real-world actions like file management, Python code execution, web scraping, and shell commands via lightweight Model Context Protocol servers.
Integrates Perplexity AI's real-time search capabilities and AI-powered answers with web sources and citations into the Model Context Protocol.
Integrate and leverage Google's powerful Gemini multimodal AI models for diverse generative and analytical applications.
Provides privacy-respecting web search capabilities to AI applications and other services via an MCP server.
Enables AI assistants to query and explore distributed data across EdgeLake nodes via the Model Context Protocol.
Enables LLMs to perform cloud browser automation, interact with web pages, and extract data using the Model Context Protocol.
Enables AI-powered editing and generation of PDF slides locally using Gemini 3 Pro and the Model Context Protocol.
Streamline Chainguard MCP management with long-term memory, task tracking, and multiple operational modes for enhanced efficiency.
Empowers AI agents to autonomously administer and analyze Oracle databases through natural language.
Replicates the functions of a full-time employee across multiple tiers of sophistication, progressively increasing automation capabilities.
Access Japanese government statistics from the e-Stat portal via an async Python client and an MCP server.
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