Free technical-SEO audit MCP: crawl a site, run checks, return an LLM-ready shareable report.
Most AI and media services work still happens through a UI a human drives. Crawlinx MCP server moves it into the conversation instead. Free technical-SEO audit MCP: crawl a site, run checks, return an LLM-ready shareable report.
The server is remote — you only need the endpoint https://crawlinx.com/mcp. No key.
This repository documents the hosted Crawlinx MCP server. The audit engine is operated as a service at crawlinx.com; this repo is the public reference and install guide for the MCP integration.
The server publishes 5 tools. What each one is for:
scan_url — Start a free SEO audit of a URL (crawls max_pages pages — default 50, max 200); returns a scan idget_report — Fetch a finished report as structured JSONget_report_markdown — Fetch a finished report as compact, LLM-ready Markdown (health score + prioritized fix plan + issues collapsed by code). Set full=true for theget_issue_detail — Expand one issue code: every affected URL plus step-by-step remediationdiff_scan — Diff a scan against the previous scan of the same domain to confirm fixes landed and nothing regressedBecause this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Crawlinx's toolset — scan_url, get_report, get_report_markdown and 2 more — is a fair guide to whether it matches your workflow. It is maintained by im-ff; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| scan_url | Start a free SEO audit of a URL (crawls max_pages pages — default 50, max 200); returns a scan id. |
| get_report | Fetch a finished report as structured JSON. |
| get_report_markdown | Fetch a finished report as compact, LLM-ready Markdown (health score + prioritized fix plan + issues collapsed by code). Set full=true for the complete report. |
| get_issue_detail | Expand one issue code: every affected URL plus step-by-step remediation. |
| diff_scan | Diff a scan against the previous scan of the same domain to confirm fixes landed and nothing regressed. |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.