Discover our curated collection of MCP servers for data science & ml. Browse 6480servers and find the perfect MCPs for your needs.
Facilitates AI-powered conversations through a secure, full-stack chat application with real-time messaging and persistent chat threads.
Enhances AI capabilities by providing rich workspace context, comprehensive code analysis, and intelligent prompts.
Enables AI clients to retain and recall user information across interactions through semantic search.
Access real-time and historical stock market data for AI applications through a standardized Model Context Protocol interface.
Connects AI agents to the Sokosumi platform, enabling natural language interaction for managing AI agents, creating jobs, and monitoring their execution.
Integrates AlphaVantage's financial data API as an MCP service, facilitating easier integration with other applications.
Manages and invokes AWS Bedrock managed prompts through an MCP server interface.
Deploys a Model Context Protocol (MCP) server on Cloudflare Workers that operates without requiring authentication.
Discovers and extracts comprehensive metadata from research papers, code repositories, and AI models using web scraping and API integration.
Accelerates the development of Model Context Protocol (MCP) servers using TypeScript.
Provides real-time weather information and local search history to language models using the Model Context Protocol (MCP).
Manages GitHub projects with AI-powered task management and comprehensive requirements traceability.
Integrates large language models with the AirNow API to provide comprehensive U.S. air quality data access.
Retrieves information from the AWS Knowledge Base using the Bedrock Agent Runtime, enabling Retrieval-Augmented Generation (RAG).
Assists in reverse engineering electronic devices by creating schematics from physical measurements and visual PCB analysis with AI support.
Generates high-quality images using FLUX.1-dev with efficient GPU memory management and offers both an MCP server and a command-line interface.
Analyzes Spark event logs to provide in-depth performance insights, resource monitoring, and optimization recommendations.
Provides sandboxed FFmpeg functionality through a RESTful API, enabling secure video and audio processing for AI assistants and other clients.
Extracts clean, LLM-ready content from any URL using Jina AI's Reader API for intelligent web reading, delivered as a Model Context Protocol server.
Enables querying Teradata data from Claude Desktop using CData JDBC Drivers via a read-only Model Context Protocol (MCP) server.
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