Discover our curated collection of MCP servers for data science & ml. Browse 8948 servers and find the perfect MCPs for your needs.
Provides read-only access to PostgreSQL databases for Large Language Models, enabling schema inspection and query execution.
Facilitates seamless interaction for AI agents with Firebase services through a standardized Model Context Protocol server.
Converts web pages into Markdown format, optimized for large language models.
Provides persistent memory and context management for AI coding assistants, eliminating repetitive explanations and lost information.
Query JSON data using jq syntax, operating as both an MCP server and a standalone command-line tool.
Researches federal contract awards and analyzes the competitive landscape using the USASpending.gov API.
Connects ChatGPT with MetaTrader 5, enabling AI-driven execution of trading operations and comprehensive market analysis.
Empowers AI assistants with tools to create, read, update, delete, and organize Markdown notes.
Play chess through conversation with an interactive board widget directly within ChatGPT.
Enables Large Language Models to efficiently access, analyze, and extract information from STDF-V4 files used in semiconductor testing.
Enables AI assistants to access FIO Bank account transactions and financial data through a Model Context Protocol (MCP) server.
Enables AI agents and chatbots to manage and automate comprehensive testing workflows on Perfecto's cloud-based platform.
Establishes a shared, local memory for AI assistants, automatically capturing ambient context from your environment to ensure consistent understanding.
Converts PDF documents into Markdown format using the MinerU API, functioning as a Model Context Protocol server for agent-based workflows.
Integrate RAG-powered AI chat into any website with a local, zero-cloud dependency server.
Aggregates web design patterns into a searchable knowledge base for comprehensive layout analysis, motion detection, and quality evaluation.
Provides a unified context protocol for AI agents, enabling shared memory, data normalization, and intelligent curation across different models and sessions.
Connect AI agents to your JSON database, enabling natural language data creation, querying, and management.
Orchestrates local agentic AI systems by connecting a FastMCP Python server with a LangGraph orchestrator and Ollama.
Enables AI clients to discover datasets, resources, organizations, and groups from Morocco's data.gov.ma open data portal through a standardized Model Context Protocol (MCP) server.
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