Discover our curated collection of MCP servers for data science & ml. Browse 8948 servers and find the perfect MCPs for your needs.
Enables analysis of clinical trial data from the AACT database, tracking development trends, and generating analysis memos.
Enables high-quality image generation using the Flux.1 Schnell model via the Together AI platform.
Generates and edits images using OpenAI's DALL-E API through a Model Context Protocol (MCP) server.
Extracts embedded data and SVG components from TypeScript/JavaScript source code into structured JSON and SVG files.
Browse and discover open-source AI agent and MCP orchestration tools.
Retrieves blockchain and DeFi data from the DeBank API using a stateless Model Context Protocol (MCP) server.
Provides access to real-time and historical vessel tracking data from MarineTraffic.
Enables AI agents to interactively interrogate database schema metadata.
Provides AI agents with programmatic access to AppSignal's monitoring data, metrics, and developer tools.
Provides an HTTP API endpoint for a Model Context Protocol (MCP) server, enabling access to data from diverse open-access publishers using an LLM and search API.
Provides comprehensive Open Source Intelligence (OSINT) capabilities for EVE Online characters, corporations, and alliances by integrating data from ESI, EveWho, and zKillboard APIs.
Integrates Inoreader with Claude Desktop, enabling intelligent RSS feed management and analysis directly within your AI assistant.
Orchestrates a collection of AI agents for web scraping, real-time information retrieval, and dynamic podcast generation.
Provides an enhanced Model Context Protocol (MCP) server for Graphiti, enabling AI agents to interact with a temporally-aware knowledge graph.
Facilitates secure and low-latency communication between diverse devices, robots, applications, and AI agents through a Universal Agent Protocol.
Empowers security engineers and bug bounty hunters with an AI-powered assistant for manual web penetration testing.
Provides a local-first MCP server that enables AI assistants to execute code directly via a single interface, drastically reducing token usage.
Enables AI agents to efficiently extract text, search, and analyze PDF documents using intelligent caching and the Model Context Protocol.
Provides persistent memory for AI tools, enabling every session to leverage context from all previous interactions.
Compiles natural language skill definitions into validated OWL 2 ontologies for building deterministic enterprise AI agents.
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