"Using an MCP client like Windsurf to communicate on Discord" matching MCP servers:

MCP server for interacting with Discord via REST API, enabling guild, channel, and message operations using a bot token.

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.

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.

An MCP server that exposes Discord bot actions as tools for LLM clients.

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.

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.

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.

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.

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.

Enables LLMs to read messages, discover channels, send messages, and monitor Discord communities using web scraping without requiring bot permissions or API tokens.

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.

Enables reading and managing Discord forum and text channels, including listing posts, reading threads, creating posts, replying, managing tags, and closing threads.

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.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

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.

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.

Small diagnostic MCP server for checking what MCP clients actually support, including tools, resources, prompts, and transport behavior.

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.

Enables Discord server administration through MCP, providing tools for role management, member moderation, channel operations, and message purging.

Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.