Discord API
Archive and analyze your Discord server's message history
Pull channels, messages, members, roles, and guild metadata from Discord. Build a searchable archive of community activity, track engagement trends, and surface top contributors across your server.
Completely free Bot API. No paid tiers for bot access.
How it works with Loony
Describe it.
Deploy it.
Query it.
Managed database.
Your Discord data lives in its own Postgres instance. Zero config. Data accumulates over time.
Scheduled syncs.
Cron jobs run on Loony infra. Every minute on free. Your data stays fresh without you thinking about it.
REST + MCP endpoints.
Query from your agent, your dashboard, or connect BI tools directly. Full OpenAPI spec included.
$ "Pull all messages from my Discord server for the last 90 days. Break down weekly activity by channel and member. Flag channels with declining engagement." ✓ Schema validated ✓ Database provisioned ✓ Scripts deployed ✓ Schedules registered Done. # Your data is now at: REST /data/v1/discord/query MCP /mcp/v1/discord/mcp SQL psql $DATABASE_URL
What you get
Discord has no built-in analytics and message search is limited to one server at a time with no export. Loony archives every message, reaction, and member event into Postgres so you can query across channels and months. Your agent can answer 'Which channels lost activity this quarter?' or 'Who are our top contributors?' because the full history is there.
mv_discord_weekly_activity week date -- ISO week start channel_name text -- channel display name messages integer -- total messages sent unique_authors integer -- distinct members who posted reactions integer -- total reactions added threads_created integer -- new threads opened top_contributor text -- member with most messages avg_msg_length integer -- average character count
Even better together
Pair Discord community data with GitHub to correlate contributor activity across code and chat. Add Twitch to link stream chat engagement with Discord follow-up discussions. Combine with Hacker News to track how launch-day buzz converts into community joins.
