Discover our curated collection of MCP servers for data science & ml. Browse 10275 servers and find the perfect MCPs for your needs.
Converts any webpage into clean, LLM-ready Markdown for seamless integration with Large Language Models.
Bridges AI agents and the Akash Network, enabling AI models to deploy applications and manage deployments.
Provides read-only access to MySQL databases for LLMs via the Model Context Protocol.
Provides access to a diverse range of finance-related data in Hong Kong through a FastMCP interface.
Offers a server solution to integrate and utilize Sarvam AI's comprehensive text processing APIs directly.
Provides a customizable framework for building and running modular tool servers.
Provides access to Reactome pathway and systems biology data through a Model Context Protocol server.
Enables Large Language Models (LLMs) to engage in self-reflection and introspection through recursive questioning and Model Context Protocol (MCP) sampling.
Transforms complex financial data into actionable intelligence through graph-based analytics and AI-powered insights.
Facilitates in-depth analysis of scientific papers by providing local PDF parsing, mathematical formula explanation, code generation, and intelligent reporting.
Wraps the RAG-Anything library, offering a FastAPI REST API and an MCP server for robust Retrieval Augmented Generation.
Powers AI agents with a self-hosted RAG engine, ingesting local web documents and PDFs to provide grounded context via the Model Context Protocol (MCP).
Enables intelligent interaction with Nautobot APIs and a comprehensive knowledge base using semantic search and dynamic API requests.
Manages hypergraph data with built-in provenance tracking and SQLite persistence for complex relationships.
Manages an autonomous, self-healing knowledge core for AI agents, continuously monitoring, resolving conflicts, and distilling experience into structured rules.
Integrate Google Search Console data into a local SQLite database for advanced querying and dashboard generation within Claude Desktop.
Captures and serves personal knowledge locally to various AI tools via MCP or REST API for enhanced, persistent memory.
Establishes a collective memory network for AI agents, enabling them to share and learn from accumulated wisdom across various modalities.
Transforms declarative YAML configurations into validated, policy-enforced Model Context Protocol (MCP) tool servers.
Empowers developers to find perfectly matched "good first issues" in open source projects through AI-driven analysis of their skills and GitHub profile.
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