Discover our curated collection of MCP servers for data science & ml. Browse 8922 servers and find the perfect MCPs for your needs.
Generates images from text prompts using the Flux Schnell model via an MCP-compatible server.
Provides financial analysis capabilities through access to real-time and historical stock data and company fundamentals.
Enables LLMs to securely read and list files from a designated directory on a local machine.
Enables LLMs to execute Python code, manage files, and interact with Python environments.
Provides advanced access to the UniProt protein database through a Model Context Protocol (MCP) server.
Enables AI assistants to manage Zerodha trading accounts through the Kite Connect API using Model Context Protocol.
Provides an unofficial, experimental Model Context Protocol (MCP) server to interface large language models with the Observe platform for data analysis and troubleshooting.
Provides a lightweight and portable pluggable server for AI agents to execute local tools via stdio transport.
Syncs Google Drive folders with AI assistants, enabling powerful semantic search, duplicate detection, and cross-reference analysis across your documents.
Manages, analyzes, and visualizes knowledge graphs, seamlessly integrating with MCP-compatible AI assistants.
Integrates QuestDB with AI assistants by providing a Model Context Protocol server for high-performance time-series data interaction.
Provides AI applications with powerful PDF text extraction, search, and OCR capabilities through the Model Context Protocol.
Accesses Indian stock market data for seamless integration with AI platforms like Claude Desktop.
Automate various media processing tasks, including video editing and audio transcription, leveraging AI assistants.
Curates and automatically updates a comprehensive collection of over 5,000 precision-tagged AI agent skills from the GitHub ecosystem.
Provides lightweight, persistent memory for AI agents, featuring hybrid keyword and semantic search, all within a single SQLite file.
Empower NestJS applications to define and expose 'tools' and prompts for LLM and HTTP, complete with automatic detection, validation, and OpenAI Function Calls integration.
Verifies academic references against Crossref, Semantic Scholar, and arXiv to catch hallucinated citations, find real papers, and export corrected BibTeX.
Integrates vision capabilities into any Large Language Model by routing image inputs through specialized vision models and returning text descriptions.
Access Bank of Korea ECOS economic statistics programmatically, enabling AI agents and LLM applications to discover and retrieve time-series data.
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