Discover our curated collection of MCP servers for data science & ml. Browse 8922 servers and find the perfect MCPs for your needs.
Provides a persistent, high-performance memory system for Model Context Protocol (MCP) using libSQL.
Implements a Model Context Protocol (MCP) server for the Qwen Max language model, enabling integration with tools like Claude Desktop.
Generates images from text descriptions using Amazon Bedrock's Nova Canvas model.
Enables Large Language Models to interact with and manage data stored in Amazon S3.
Enables AI models to interact with JigsawStack models through a Model Context Protocol server.
Provides access to NBA, NFL, and MLB data, including players, teams, and game statistics via the Balldontlie API.
Implements a Retrieval-Augmented Generation (RAG) system leveraging Google's Agent Development Kit (ADK) and Qdrant vector database for enhanced LLM responses.
Enables AI assistants to leverage human input via Amazon Mechanical Turk.
Orchestrates cybersecurity tasks and workflows using Model Context Protocol (MCP) and AI models like Claude.
Provides comprehensive access to Chinese stock market data through a unified API.
Analyzes conversational speech patterns from Limitless Pendant recordings using scientifically validated metrics, offering AI-powered features for time queries, meeting detection, and action item extraction.
Enables applications to leverage Yelp's business data and conversational AI capabilities through a Model Context Protocol server.
Integrates a comprehensive Model Context Protocol (MCP) server with LightRAG API, offering 22 tools for document management, querying, knowledge graph operations, and system management.
Analyzes Java class files, decompiles them, scans Maven dependencies, and extracts method lists to enhance Large Language Models' code analysis capabilities.
Extends local LLMs with capabilities like web search, code execution, and persistent memory.
Analyzes spatial transcriptomics data through natural language conversation, enabling researchers to interact with their data without writing code.
Enables AI agents to perform deep runtime debugging of live Java applications using the Java Debug Interface (JDI).
Triangulates customer support tickets and feature requests to help product managers decide what to build next.
Access Google Gemini's capabilities, including image generation, editing, chat, and file analysis, for free using browser cookies without requiring API keys.
Archive and semantically search your AI conversation history locally across multiple platforms.
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