Discover our curated collection of MCP servers for data science & ml. Browse 6536servers and find the perfect MCPs for your needs.
Converts git repositories and local file paths into structured, LLM-ready prompt formats, providing context for AI models.
Enhances and cleans raw prompts using AI, improving clarity, actionability, and effectiveness.
Play chess through conversation with an interactive board widget directly within ChatGPT.
Enables querying of AWS DynamoDB databases using natural language requests via the Model Context Protocol (MCP).
Query JSON data using jq syntax, operating as both an MCP server and a standalone command-line tool.
Facilitates read-only access to Sage 300 data, enabling large language models to query live information using natural language.
Provides a minimal, local-first Rust vector-memory server for AI agents, integrating seamlessly with Qdrant and Ollama.
Interfaces with UCI chess engines like Stockfish to provide chess analysis and move generation.
Enables AI assistants to directly access Medikode's AI-driven medical coding tools through the Model Context Protocol.
Enables AI assistants to manage K3s Kubernetes clusters through natural language commands.
Provides access to various Hong Kong government data through a FastMCP interface.
Retrieves weather information using a weather API and integrates with an Ollama language model.
Transforms YouTube into a queryable knowledge source, powering AI workflows and detailed content analysis.
Integrates the Metabase analytics platform with AI assistants, enabling direct interaction with analytics data through the Model Context Protocol.
Automates Twitter/X posting with text and images, including AI-generated content through a Model Context Protocol (MCP) server.
Instantly generate ATS-friendly Word and PDF resumes from text, LinkedIn profiles, or existing files, enhanced by AI and optimized for job applications.
Enables AI assistants to access FIO Bank account transactions and financial data through a Model Context Protocol (MCP) server.
Empower large language models with comprehensive semantic code retrieval and editing capabilities to automate software development workflows.
Provides a customizable, secure AI assistant leveraging local LLMs for departments to manage data, automate workflows, and gain document-based insights.
Enables querying Large Language Models with context derived from local files.
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