Discover our curated collection of MCP servers for data science & ml. Browse 9014 servers and find the perfect MCPs for your needs.
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.
Enables querying live Mailchimp data using natural language questions within LLMs like Claude Desktop.
Integrates Snowflake Cortex Agents with Model Context Protocol clients for enhanced AI development.
Exposes Korean government support project data via a RESTful HTTP API, supporting keyword and natural language-based searches.
Integrates OpenWebUI, Jupyter Notebook with Manim, and an MCP server into a Docker environment for AI-powered code execution and mathematical visualizations.
Provides tools and agents for solving linear and mixed-integer programming problems, translating natural language to LP JSON, and diagnosing infeasibility.
Simulates AI agent stress and boss alertness, enabling agents to take virtual breaks and manage their workload effectively within a Model Context Protocol server.
Enables AI assistants to retrieve user information and problem data from solved.ac.
Access Tushare financial data and perform advanced quantitative analysis and backtesting through an MCP server.
Automates business processes, integrates APIs, and develops AI solutions through a collection of advanced n8n workflows, chatbots, RAG integrations, and invoice automation.
Manages knowledge graphs, including entities, relations, and time-based observations, with persistent storage and search capabilities.
Provides AI-optimized storage for documents, code, and data, enabling dynamic RAG for agents via REST API and Model Context Protocol.
Empower AI agents with private web search, content scraping, and screenshot capabilities, funded by x402 micropayments.
Provides comprehensive Philippine Standard Geographic Code (PSGC) data to Large Language Models (LLMs) via a Model Context Protocol server.
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.
Enables AI assistants to query, search, and explore local GEDCOM genealogy files, integrating family history data into AI workflows.
Structures and provides DART disclosure data for easy utilization by AI agents.
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