OpenApps

chimpanseo MCP server — tools & history

chimpanseo MCP server: observed open status, tool schemas, linked apps and version history.

chimpanseo

Endpoint: https://chimpanseo.app/api/mcp

Observed status: open. Checked: 2026-10-12T05:09:37+00:00.

Linked apps

  • chimpanseo

    Generate GEO/AEO-optimized articles, audit sites and publish or schedule posts on WordPress from Cursor, through the ChimpanSEO remote MCP server.

Observed tools

  • audit_site — Fetches the site's homepage and checks the on-page technical SEO factors that matter for both Google and AI citation — title/meta tags, canonical, H1, mobile viewport, HTTPS, Open Graph, JSON-LD structured data, image alt coverage, indexability, response time. Each finding includes a concrete tip, not just pass/fail. Fast (a few seconds) — no background job needed.
  • cancel_scheduled_article — Removes a slot from the editorial calendar, from list_scheduled_articles. Same as deleting it from the dashboard calendar — works regardless of the slot's current status, so double-check it hasn't already published if that matters (see list_scheduled_articles' wp_post_id/article_id fields).
  • generate_article — Starts generating a new SEO/GEO-optimized article via AI for a given topic and site. Counts against the account's monthly article quota, same as generating from the dashboard. Does NOT publish it — call publish_article separately once you're happy with it. ASYNC: this returns a jobId immediately, it does NOT wait for the article. Generation typically takes 1-6 minutes (reasoning model, non-streaming) — poll get_generation_status with the returned jobId every ~15-20s until status is "ready" or "error". (Older integrations that awaited this call directly would hit their own client's default request timeout, typically 60s, long before generation finished — this is why it's async now.)
  • get_article — Fetch one article's full HTML content and metadata by id — list_articles deliberately omits content to stay compact, use this to actually read what was generated (e.g. after generate_article or refresh_article, or before deciding whether to publish it).
  • get_generation_status — Poll the status of a generate_article or refresh_article call by jobId. Returns status: "pending" (still working), "ready" (done — includes articleId, title, excerpt, charCount), or "error" (includes the error message).
  • get_usage — Check the current plan, monthly article limit, articles used this month and articles remaining — call this before generating to use the quota consciously instead of guessing.
  • list_articles — List the most recent articles generated on this account, with title, status, site and link.
  • list_scheduled_articles — List scheduled_article slots (past and future) — topic, target date, status, site. Use this before schedule_article to see what's already queued and avoid duplicating dates/topics.
  • list_sites — List the WordPress/Framer/Webflow sites connected to this ChimpanSEO account, with id, name, url, platform and language.
  • publish_article — Publish (or save as draft) a previously generated article to its WordPress site. Only works for WordPress sites — Framer/Webflow sites are copy-paste only (Beta) and are not supported here.
  • refresh_article — Rewrites an existing article to be current and more SEO/AEO-optimized — updates dates/stats/examples, improves headings, adds a FAQ section, adds 300+ words. Same action as the dashboard's "Migliora & aggiorna" button. If the article is already published to WordPress, the refreshed version is automatically re-published there too (title and WordPress status unchanged); otherwise only ChimpanSEO's own copy is updated. ASYNC: returns a jobId immediately — poll get_generation_status with it, typically ready in 1-4 minutes.
  • schedule_article — Schedule a topic to be generated and auto-published at a future date/time on a WordPress site — the same editorial calendar the dashboard uses. Requires a plan with scheduling enabled.
  • suggest_topics — Generates topic suggestions for a site's next articles, using the same logic as the dashboard's topic generator — biased toward an experiment/case-study angle for a share of the results, and informed by the site's differentiators if set, rather than generic keyword-chasing titles. Fast (a few seconds, not a background job) — use this before generate_article or schedule_article instead of inventing topics yourself.

Data as of 2026-10-12T05:09:37+00:00.

OpenApps records store listings and observed changes. Store ranks are not download counts; launch dates may be derived or use the first observation. Coverage gaps are shown in the interactive catalog.

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