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    MCP server for Blender that connects to the official Blender Lab add-on, exposing 27 tools for scene manipulation, object editing, materials, rendering, and Python execution through the add-on's actual wire protocol.
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    MIT
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    Lets you read Discord messages, inspect channels and servers, and manage Discord resources through its REST API using a verbatim token, with 32 tools plus general REST access.
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    MIT
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    Publishes a spending-summary tool alongside an interactive HTML view, letting people click a category in the answer to fetch the individual expense records behind that total. Keeps calculations and their supporting evidence together in a single inspectable flow.
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    An MCP server that lets AI assistants provision Discord servers (guilds, categories, channels, roles, permissions) from declarative blueprints via the Discord REST API, with idempotent diff-based planning and no deletions.
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    MIT
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    Enables client success teams to get instant, natural-language health reads on client accounts with tools for overall health, low-performing courses, and launcher-only clients.
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    Enables AI assistants to read and control a local Discord desktop client, including viewing channels and messages, managing voice calls and volumes, and setting Rich Presence.
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    MIT
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    Enables Claude or any MCP client to operate a Discord bot through 35 tools, covering reading channels, searching history, posting and replying, managing channels, threads and roles, moderating members, and reading the audit log. It runs locally as a stateless subprocess, making plain HTTPS calls to Discord's REST API with no gateway connection.
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    MIT
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    MCP server over the real Discord REST API: 5 read-only tools plus 7 write tools gated off by default behind DISCORD_MCP_ENABLE_WRITE.
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    MIT
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    Enables direct interaction with Discord servers to send messages, read channel history, and post rich embeds through natural conversation. It provides tools for listing channels and managing communication within Discord guilds using the Model Context Protocol.
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    Enables LLMs to read messages, discover channels, send messages, and monitor Discord communities using web scraping without requiring bot permissions or API tokens.
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    Enables Claude and other MCP clients to control music playback in Discord voice channels by routing tool calls to a locally running Discord YouTube DJ bot. Lets users play songs by URL or YouTube search, search without playing, list available voice channels, check what's playing, and stop playback using natural language.
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    MIT
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    MCP server for interacting with Discord via REST API, enabling guild, channel, and message operations using a bot token.
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    MIT
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    Exposes the Discord REST API to AI agents via the Model Context Protocol, enabling message sending and other Discord interactions.
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    91 npm
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    Apache 2.0
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    Enables reading and managing Discord forum and text channels, including listing posts, reading threads, creating posts, replying, managing tags, and closing threads.
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    MIT
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    Provides comprehensive administrative control over Discord communities through 128 operations covering moderation, messaging, and channel management. It enables AI assistants to manage server roles, events, and automations via the Model Context Protocol.
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    An MCP server that exposes Discord bot actions as tools for LLM clients.
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    A free MCP server for growing Discord communities, offering tools to search public servers, analyze engagement, and draft messages, with optional premium AI features powered by DeepSeek.
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    MIT
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    Enables AI agents to request user decisions and send notifications via Discord when human intervention is required during autonomous tasks. It supports blocking questions with custom options, progress reporting, and persistent state for seamless remote task management.
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    MIT
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    Enables users to turn any API's documentation into a tested MCP server whose tools expose the API's own operations, with linting, contract tests, and live verification. It accepts OpenAPI/Swagger, Postman, RAML, WSDL, GraphQL, RSS, and HTML docs.
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    31 PyPI
    Apache 2.0