Discover our curated collection of MCP servers for data science & ml. Browse 6290servers and find the perfect MCPs for your needs.
Enables AI assistants to read and summarize local CSV and Parquet data files through natural language interfaces.
Analyzes application codebases with real-time file watching to provide deep insights for AI assistants.
Integrate Google's Gemini API directly into Claude Desktop for enhanced AI interactions and advanced conversational capabilities.
Enables Large Language Models (LLMs) like Claude Desktop to query live Amazon Marketplace data through a standardized Model Context Protocol (MCP) interface.
Assess image quality through a server providing various analysis tools.
Manages CSV files comprehensively through creation, editing, analysis, and transformation operations.
Provides a comprehensive AI model directory and Model Context Protocol (MCP) server with a unified REST API.
Analyzes text for sentiment and sarcasm using Hugging Face Transformers within a Gradio application.
Enables AI assistants to interact with Google's Gemini API using the Model Context Protocol.
Provides comprehensive CRUD operations and advanced querying for PostgreSQL databases, enabling LLMs to interact with data through a Model Context Protocol server.
Facilitates web search capabilities for an MCP server through integration with the Tavily API, demonstrating an extensible Model Context Protocol environment.
Empower AI assistants with deterministic mathematical calculations through a local Model Context Protocol server.
Facilitates connecting large language models to live Quickbase data through a Model Context Protocol (MCP) server.
Enables AI models to interact with MySQL databases through a standardized interface.
Integrate GPTZero AI detection directly into large language models that support the Model Context Protocol.
Automates Indonesian stock market news analysis by scraping articles, indexing them with semantic search, and enabling AI assistant queries.
Connects Google Data Catalog data to large language models (LLMs) and AI clients through a Model Context Protocol (MCP) interface.
Answers natural language questions by querying and summarizing Wikipedia content through an MCP-compatible interface.
Exposes a Model Context Protocol (MCP) service using Spring AI.
Enables large language models to query Wikipedia for information and automatically fact-check factual claims.
Scroll for more results...