Discover our curated collection of MCP servers for data science & ml. Browse 9718 servers and find the perfect MCPs for your needs.
Provides isolated Docker environments for secure code execution and development environment setup.
Enables Claude AI to analyze the Ethereum blockchain, audit smart contracts, and track wallet profitability.
Provides comprehensive document processing capabilities via a Model Context Protocol (MCP) server.
Automates web search, document analysis, and information gathering using agent-based technology.
Enables AI models to access and search ZIM format knowledge bases offline.
Connect LangChain.js-compatible LLMs with MCP servers for building AI agents with dynamic tool access and multi-server support.
Provides stock market data download and query functionalities, acting as an MCP server built on the QMT platform.
Provides an intuitive desktop experience for managing containers and images using Apple Container on macOS.
Integrates Sourcegraph's code search capabilities into an AI-enhanced Model Context Protocol server.
Enables seamless integration between Large Language Models and Teamwork.com for project management operations.
Enables AI clients to interact with scientific protocols and methods on protocols.io.
Generate AI-powered podcasts with customizable voices and transform text into natural-sounding conversational audio.
Generates high-quality images from text or other images using the Seedream 4.0 API, enhanced with cloud storage, prompt templates, and intelligent image management.
Exposes relational databases to AI agents, enabling natural language queries and structured result retrieval.
Provides offline Stable Diffusion text-to-image inference, enabling image generation capabilities for ncnn-llm applications.
Automates complex research tasks by autonomously searching the web, leveraging personal knowledge bases, writing and executing code, generating visualizations, and producing comprehensive, self-evaluated reports.
Connects AI assistants and Large Language Models (LLMs) to Lightdash analytics, enabling programmatic data discovery, chart creation, and dashboard management.
Automates project planning by converting product requirement documents into structured task graphs using AI-powered context, semantic search, and multi-agent orchestration.
Empowers AI agents with quantitative trading analysis capabilities, including stock screening, OHLCV data, technical analysis, chart generation, and financial news aggregation.
Provides persistent organizational context and memory to AI agents by integrating with various business tools and creating a unified knowledge graph.
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