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"Plotly Dash - A Python Framework for Building Interactive Web Dashboards" matching MCP servers:

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    Renders 45+ interactive chart types, dashboards, and KPI widgets directly inside AI conversations. Supports drill-down, live API polling, 20 themes, and one-click export to PNG, PowerPoint, and A4 documents.
    40
    212
    43
    Functional Source , Version 1.1, MIT Future
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    A local dashboard and Model Context Protocol server for managing a multi-project portfolio whose entire state lives in markdown files.
    MIT
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    AI-native PostgreSQL health checker with 26 MCP tools for query analysis, bloat detection, migration safety, and CI integration.
    49
    1
    MIT
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    A self-hosted push inbox for AI agents that enables agents to send updates and ask questions, waiting for user answers before continuing.
    MIT
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    quality
    D
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    A Node.js/TypeScript MCP server that facilitates interactive communication between LLMs and users, allowing AI assistants to request user input, display notifications, and manage command-line chat sessions.
    5
    53
    1
    MIT
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    quality
    F
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    Enables AI assistants to request user input through interactive popups in VS Code, supporting button selections, text inputs, and confirmation dialogs. This system allows for seamless human-in-the-loop interactions without interrupting the conversational flow.
    4
    The Unlicense
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    quality
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    A comprehensive framework for building remote MCP servers on Cloudflare Workers featuring OAuth 2.1 authentication, PostgreSQL integration, and Stripe-powered paid tools. It enables developers to create scalable, platform-agnostic MCP tools with support for user registration and subscription-based functionality.
    127
  • F
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    quality
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    A starter template for building Model Context Protocol (MCP) servers with mcp-framework. It includes an example tool and CLI for adding more tools.
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    A minimal MCP server framework for single-owner production deployments using OAuth authorization code flow with PKCE, providing endpoints for MCP, authorization, token, and metadata.
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    quality
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    Enables AI-assisted user feedback collection and management via a web interface, with MCP integration for automated replies and tool execution.
    1
    47
    MIT
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    Provides web search and content extraction tools for AI assistants, with zero configuration and swappable backends.
    6
    29
    1
    MIT