Discover our curated collection of MCP servers for data science & ml. Browse 9932 servers and find the perfect MCPs for your needs.
Connects Amazon DynamoDB data to Claude Desktop through CData JDBC drivers using a read-only Model Context Protocol (MCP) server.
Enables connection to Microsoft Excel data from Claude Desktop using CData JDBC Drivers.
Automates machine learning workflows, from data analysis to model deployment, with Model Context Protocol integration.
Enables MCP Clients to remember user information across conversations by leveraging vector search technology.
Provides Formula 1 data access through various APIs for integration with large language models.
Enhances AI assistant capabilities with robust context management, accuracy enforcement, and safety protocols.
Enhances Large Language Model interactions by providing a persistent memory store, real-time file system monitoring, and intelligent context injection for development environments.
Establish a serverless endpoint for AI agent tools on Cloudflare Workers, requiring no authentication.
Provides a production-ready multi-voice text-to-speech library and MCP server for AI assistants, enabling real-time streaming, SSML, emotional speech, and sound effects.
Provides AI agents with direct access to over 13 million SEC EDGAR financial filings, XBRL financial statements, and company information.
Establishes a persistent intelligence layer for LLM-powered agents, enabling memory and learned patterns to compound across development sessions.
Provides real-time US/TW stock quotes, portfolio tracking, and technical analysis through an integrated API and web dashboard.
Exposes comprehensive Formula 1 race data, driver statistics, and team information to power AI applications through a Model Context Protocol (MCP) server.
Provides AI agents with programmatic access to Beefy (DeFi vault) functionalities through a standardized Model Context Protocol server.
Empower AI agents to execute trades across diverse prediction markets, pre-markets, and decentralized exchanges via a single Model Context Protocol server.
Integrates diverse scientific computing engines and visualization tools for AI coding assistants.
Transforms any REST API (OpenAPI/Swagger) specification into ready-to-use MCP tool definitions for AI agents.
Integrates Mappls / MapMyIndia APIs to provide comprehensive location-based services and geospatial data for large language models.
Measures inter-rater agreement across multiple large language models for robust AI evaluation pipelines.
Provides agent-native zero-knowledge proof infrastructure, enabling privacy-preserving computations within a secure AWS Nitro Enclave.
Scroll for more results...