Discover our curated collection of MCP servers for data science & ml. Browse 8948 servers and find the perfect MCPs for your needs.
Retrieves information from the AWS Knowledge Base using the Bedrock Agent Runtime, enabling Retrieval-Augmented Generation (RAG).
Manages multiple Fireproof JSON document databases via the Model Context Protocol for integration with AI systems.
Provides a generic Model Context Protocol framework for building AI-powered applications.
Converts between hexadecimal and decimal numbers to mitigate language model hallucinations.
Extracts figures, tables, captions, and section titles from scholarly PDFs with high accuracy.
Tracks cryptocurrency prices, manages a watchlist, and exports data to Google Sheets using the Coingecko API.
Enables querying live Mailchimp data using natural language questions within LLMs like Claude Desktop.
Interacts with GitHub as a chatbot.
Exposes Korean government support project data via a RESTful HTTP API, supporting keyword and natural language-based searches.
Enables AI assistants to retrieve user information and problem data from solved.ac.
Automates business processes, integrates APIs, and develops AI solutions through a collection of advanced n8n workflows, chatbots, RAG integrations, and invoice automation.
Empowers AI agents to access comprehensive UNHCR data on forcibly displaced persons through a standardized interface.
Provides AI-optimized storage for documents, code, and data, enabling dynamic RAG for agents via REST API and Model Context Protocol.
Provides a comprehensive set of mathematical and logical operations accessible as tools via an MCP server.
Provides a production-grade server for structured context and semantic retrieval (RAG) to enhance LLM agents in software engineering workflows.
Exposes FastBCP functionality for high-performance data export from databases to various file formats and cloud storage targets.
Provides programmatic access to a wide range of financial data from Argentina's Central Bank (BCRA) public APIs.
Empower AI programming assistants with a shared, persistent knowledge base, automatically extracting, storing, and retrieving team experience to overcome the "starting from scratch" problem in every conversation.
Facilitates high-integrity ingestion and preservation of historical artifacts using the Model Context Protocol.
Offers robust JSON and data manipulation capabilities, including validation, schema comparison, transformation, and format conversions for AI agents.
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