Discover our curated collection of MCP servers for data science & ml. Browse 10275 servers and find the perfect MCPs for your needs.
Implements a Model Context Protocol (MCP) server for semantic vector search and memory management using TxtAI.
Processes emails from Outlook, stores them in SQLite, and generates vector embeddings for semantic search.
Queries the NIST National Vulnerability Database (NVD) via its API.
Provides real-time web search capabilities to AI models via the Model Context Protocol (MCP).
Processes GitHub repositories into an AI-friendly format, allowing AI models to access and understand code context.
Accesses SEC EDGAR data through the Model Context Protocol with real-time data streaming.
Connects AI assistants to Web Ontology Language (OWL) ontologies using the Model-Context-Protocol.
Performs gene set enrichment analysis using the Enrichr API within a Model Context Protocol server.
Enables AI agents to explore and analyze decentralized finance yield opportunities using data from DefiLlama.
Orchestrates hierarchical AI teams for complex, multi-stage task execution through dynamic grouping and management of multiple AI agents.
Facilitates parallel execution of AI tasks by bridging MCP-compatible clients with Codex and Gemini CLI agents and delivering structured responses.
Integrates Google's Gemini AI models with Model Context Protocol (MCP) clients, enabling advanced AI capabilities for applications like Claude Desktop.
Provides a search server for open-access datasets, enabling natural language queries and LLM-assisted discovery.
Integrates IDA Pro's powerful binary analysis capabilities with Large Language Model clients via a standalone server plugin.
Enables AI agents to pause for human input or approval before executing irreversible actions.
Accesses Italian statistical data from ISTAT via its SDMX API, enabling discovery, metadata retrieval, and data fetching.
Provides persistent cognitive infrastructure for AI systems, offering semantic memory, emotional processing, and identity continuity.
Exposes sktime's native registry and semantics to Large Language Models, enabling discovery, reasoning, composition, and execution of time series workflows.
Provides AI coding agents with persistent, searchable memory of your codebase, significantly reducing token usage and response times.
Provides a comprehensive Qt/C++ library for interacting with cloud and local LLM providers, building Model Context Protocol (MCP) servers, and connecting to MCP clients.
Scroll for more results...