We built an open-source SEO dashboard and wanted to share it here.

What it does:

- Connects to Google Search Console and syncs your keyword/page data

- Crawls your site (up to 2,000 pages) for broken links, missing meta tags, duplicate content, slow pages

- Monitors Core Web Vitals (LCP, CLS, INP) via PageSpeed Insights

- Detects SEO opportunities: striking distance keywords, low CTR, content decay

- Alerts via email, Slack, Telegram, or webhook

- MCP server with 10 tools so AI agents (Claude Code, Cursor) can query your data

Stack: Next.js 16, PostgreSQL, Prisma, shadcn/ui, Tailwind. Single Docker Compose stack.

Self-hosting:

git clone https://github.com/crawlseo/crawlseo.git cd crawlseo cp .env.example .env.local docker compose up --build

You just need Google OAuth credentials (free). No paid APIs required for core features. Optional DataForSEO BYOK for keyword volume and backlink data.

MIT licensed. PRs welcome.

GitHub: https://github.com/crawlseo/crawlseo

Happy to answer any questions about the architecture or deployment.

We built an open-source SEO dashboard and wanted to share it here.

What it does:

- Connects to Google Search Console and syncs your keyword/page data

- Crawls your site (up to 2,000 pages) for broken links, missing meta tags, duplicate content, slow pages

- Monitors Core Web Vitals (LCP, CLS, INP) via PageSpeed Insights

- Detects SEO opportunities: striking distance keywords, low CTR, content decay

- Alerts via email, Slack, Telegram, or webhook

- MCP server with 10 tools so AI agents (Claude Code, Cursor) can query your data

Stack: Next.js 16, PostgreSQL, Prisma, shadcn/ui, Tailwind. Single Docker Compose stack.

Self-hosting:

git clone https://github.com/crawlseo/crawlseo.git cd crawlseo cp .env.example .env.local docker compose up --build

You just need Google OAuth credentials (free). No paid APIs required for core features. Optional DataForSEO BYOK for keyword volume and backlink data.

MIT licensed. PRs welcome.

GitHub: https://github.com/crawlseo/crawlseo

Happy to answer any questions about the architecture or deployment.