Discord Raw API MCP Server

The Discord Raw API MCP Server bridges the gap between AI assistants and Discord’s full feature set by exposing the platform’s REST endpoints through a single, versatile tool. Rather than relying on high‑level wrappers or pre‑built bots, this server gives Claude (or any MCP‑compatible client) direct, low‑level access to every Discord operation—from sending messages and managing channels to creating roles or querying guild data. The result is a highly flexible integration that lets developers script complex bot logic, automate server administration tasks, or embed Discord functionality into larger AI workflows without writing custom adapters.

At its core, the server presents a simple JSON‑based interface: specify an HTTP method (GET, POST, PATCH, etc.), the target endpoint (e.g., ), and an optional payload. This design mirrors Discord’s official API, so developers familiar with the documentation can immediately translate their knowledge into MCP calls. For convenience, the server also accepts a slash‑command‑style syntax that packs method and endpoint parameters into a single string, allowing rapid prototyping directly from the assistant’s prompt.

Key capabilities include:

• Full REST coverage: any endpoint supported by Discord can be invoked, enabling granular control over guilds, channels, messages, members, and more.
• Slash‑command shorthand: a compact syntax for quick calls without constructing JSON payloads manually.
• Rich payload support: arbitrary JSON bodies allow the creation of roles, channels, webhooks, and even complex permission overrides.
• Token‑based authentication: the server reads a Discord bot token from an environment variable, ensuring secure and isolated access.

Typical use cases span automated moderation (creating or deleting roles on demand), dynamic channel management (organizing categories and text channels based on user activity), or real‑time analytics (fetching guild statistics to feed into an AI dashboard). In research settings, the raw access lets AI agents experiment with Discord’s features in a sandboxed environment, testing conversational flows or policy enforcement without risking production data.

Integration with AI workflows is straightforward: a developer can embed the MCP calls into Claude’s prompt templates, pass user inputs as parameters, and let the assistant orchestrate complex sequences of Discord actions. Because the server operates over standard HTTP semantics, it can be combined with other MCP services—such as database queries or external APIs—to build sophisticated, multi‑step automation pipelines. The result is a powerful, low‑overhead bridge that empowers developers to harness Discord’s full potential while keeping their AI logic concise and maintainable.