data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 9068개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Implements a Model Context Protocol server for managing AI personas.
Provides an AI-agent-driven server with a Gradio UI for penetration testing and purple team operations.
Provides current weather data and forecasts for the United States using the National Weather Service (NWS) API.
Analyzes meeting transcripts using a multi-agent AI system for summarization, key point extraction, and task identification.
Develops a simple Model Context Protocol server for managing interactive data and functionalities.
Provides AI assistants with seamless access to Lunch Money financial data through a Model Context Protocol server.
Enables language models and AI agents to securely interact with npm and its services.
Integrates Cortex Context with compatible Model Context Protocol (MCP) clients like Claude Desktop.
Integrate GPTZero AI detection directly into large language models that support the Model Context Protocol.
Provides privacy-respecting web search capabilities to AI applications and other services via an MCP server.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers for integrating custom tools.
Integrates Brave Search API with AI assistants, enabling full-featured web, image, video, and news search with an intelligent AI-Saving Policy for API plan management.
Enables LLMs to perform cloud browser automation, interact with web pages, and extract data using the Model Context Protocol.
Provides a mobile control plane for AI coding agents to send push notifications, request approvals, and gather user input.
Generates comprehensive reports from research papers and web searches using a secure multi-agent system.
Orchestrates graph-spectral analysis, belief revision, and synthesis loops to generate formally verified code patches.
Provides an adaptive error memory and code intelligence server, leveraging a Hebbian synapse network for cross-project learning and auto-error detection.
Integrate ParaView with Large Language Model (LLM) assistants via the Model Context Protocol, enabling arbitrary Python execution within the ParaView session.
Access and manage academic literature from multiple sources, offering comprehensive search, citation, and full-text retrieval capabilities.
Provides a persistent, semantic memory layer for AI coding tools, enabling them to recall preferences, decisions, and project context across conversations.
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