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lilyzhng

cursor-discord-channels

by lilyzhng

cursor-discord-channels

Talk to your cursor agents in Discord, get the work done

Discord bridge + MCP tools for Cursor. When someone @mentions your bot, a small bridge wakes the Cursor CLI agent (Composer by default); the bridge posts the reply as your bot (default), or the agent can use Discord MCP tools in legacy mode.

Discord  →  bridge  →  cursor agent  →  bridge posts reply (default)
                              ↳ or Discord MCP when CDC_BRIDGE_OUTBOUND=mcp

Uses your Cursor subscription — no separate API bill. No VPS required to get started.

Choose your setup

Local (start here)

VPS (always-on)

Cost

No VM — subscription only

~$5–10/mo server

Difficulty

Easiest (nohup on your Mac)

SSH + systemd

RAM

Shared with your laptop; scales with concurrent agents

Uses server RAM

Uptime

Mac powered on, no sleep (lid closed OK with caffeinate)

24/7 without your machine

Agents

2–3 bots usually fine; 4+ strains RAM & thermals

Many bots / workspaces

Guide

docs/LOCAL_SETUP.md

docs/VPS_SETUP.md

Related MCP server: discord-mcp-agent

Quick start (local)

git clone https://github.com/lilyzhng/cursor-discord-channels.git
cd cursor-discord-channels
npm install
  1. Create a Discord bot → save token to ~/.cursor/channels/discord/.env

  2. agent login

  3. export CURSOR_CWD=/path/to/your/project and export CDC_STATE_DIR=~/.cursor/channels/discord

  4. npm run bridge — or bash scripts/start-bridge-local.sh for background

Full walkthrough: docs/LOCAL_SETUP.md

What you get

  • @mention your bot → real reply in the thread

  • Subscription auth — same quota as Cursor IDE / CLI

  • Access control — pairing, allowlists, trusted bots

  • Self-hosted — your token, your rules

Benchmarks

Measured on a live server against the real agents. The warm ACP session (v0.2) cuts steady-state latency from ~10 to 12s (cold spawn per message) to ~1.2 to 2.5s, roughly 5 to 10x, and adds shared cross-channel memory.

We also raced three models on one full agentic task (read PR #5 → author an SVG → render with rsvg-convert → post the image back to Discord):

Agent

Model

Time

Jackie

Composer 2.5

42.3s

Lucy

Sonnet 4.6

72.0s

Andrej

Opus 4.8

103.0s

Composer 2.5 won on speed and held up on quality; Opus produced the richest-looking diagram. Full writeup, the three diagrams, and the shell-harness root-cause fix: docs/BENCHMARKS.md.

More help

License

MIT

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license - not found
-
quality - not tested
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maintenance

Maintenance

Maintainers
Response time
0dRelease cycle
2Releases (12mo)
Commit activity

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