Give Your AI Agent Access to Your Post Analytics

Postfalcon has shipped with a bundled MCP server for a while now, so an agent like Claude could already draft, schedule, and manage your posts. With Analytics now live, it can read your results too.

The new tool: get_analytics_summary

The MCP server now exposes six tools:

• list_accounts — your connected social accounts
• list_posts — filter by status or account
• create_post — draft or schedule a text post to one account
• update_post — change content, status, or schedule
• delete_post — remove a post
• get_analytics_summary — new — the same totals, 7-day chart, and top post the Analytics page shows

No setup beyond what you already have: if your agent is already connected via POSTFALCON_BASE_URL/POSTFALCON_API_TOKEN, the new tool just shows up the next time it lists available tools.

What this actually enables

Concretely, you can now ask something like "how did this week's posts do, and what should I post more of?" and the agent can pull real numbers to answer — not a guess, the same view/like/comment counts pulled from each platform's own API that back the Analytics page. It can just as easily follow that up by drafting a new post with create_post, using what it just learned.

That loop — read what worked, create the next post, schedule it — is the whole point of building this on the same REST API the web app uses rather than a bolt-on integration. create_post still saves as a draft or a schedule, never publishes immediately, so nothing goes out without landing on your calendar first where you can review it.

Coverage note

get_analytics_summary returns exactly what the Analytics page shows, including its honesty about gaps: Telegram and TikTok posts won't have metrics yet, and most platforms other than YouTube and Threads don't report view counts. Your agent sees the same null fields you'd see in the dashboard, not a made-up number.

Read the full tool list and REST endpoints at the API docs.