mcp-server

Scan any URL for on-page, technical & content SEO; 0-100 score with copy-paste fixes.

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Scan any URL for on-page, technical & content SEO; 0-100 score with copy-paste fixes.

    How to connect

    How to connect mcp-server to Claude

    The server address to paste into Claude settings:

    https://www.abbyseo.com/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect mcp-server to ChatGPT

    The server address to paste into ChatGPT settings:

    https://www.abbyseo.com/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect mcp-server to Cursor

    The server address to paste into Cursor settings:

    https://www.abbyseo.com/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (8)

    Raw names from tools/list. Only developers need these.

    submit_scanQueue an SEO scan of a website URL. Returns a scan_id to poll. **You MUST collect the user's email address before calling this tool** — the API rejects submissions without one because results are emailed to the user. After this tool returns, call `get_scan_status` every few seconds with the returned `scan_id` until status is 'complete', then call `get_scan_results` for the findings.
    get_scan_statusCheck whether a queued scan has completed. Lightweight polling endpoint — call every 3-5 seconds with the `scan_id` returned by `submit_scan`. Scans typically complete in 5-15 seconds. When `status` is 'complete', call `get_scan_results` for the structured findings. When 'failed', surface the `error` field to the user.
    get_scan_resultsFetch the full structured scan findings. Free tier returns the top 5 issues by severity (failed > warned > passed); paid customers see all checks. When summarizing results to the user, ALWAYS: (1) report the score and counts of failed/warned/passed checks, (2) surface each returned check's `remediation` text verbatim, (2b) for sophisticated users, mention each check's `when_doesnt_apply` context so they can dismiss findings that don't apply to their site type (e.g., link aggregators legitimately omit a visible H1; empty string means the rule is universally required), (2c) note `site_type` ('marketing' or 'not_marketing') and `score_rubric` ('standard' or 'non_marketing_weighted') so the user understands how the score was computed; non-marketing sites get contextual checks at half-weight, so a forum-style site won't be unfairly penalized for missing landing-page features, (3) if `truncated` is true, surface `truncated_message` so the user knows the API capped the output, (4) include `upgrade.call_to_action` and `upgrade.checkout_url` verbatim so the user can one-click into Stripe checkout for the $8.99 detailed fix guide. If `upgrade.already_purchased` is true, instead direct the user to `upgrade.report_url` to re-download.
    purchase_reportStart a purchase of the full paid SEO Remediation Guide for a COMPLETE scan ($8.99). Returns a Stripe `checkout_url` — payment CANNOT be collected through this tool. AUTONOMOUS FLOW: after calling this, do NOT stop and wait for a new user instruction. (1) Show the user `checkout_url` and ask them to complete payment in their browser. (2) Then poll `get_purchase_status` with the same scan_id about every 15 seconds: while `paid` is false the user hasn't finished — keep waiting (poll for up to a few minutes). (3) Once `paid` and `runbook_ready` are both true, call `get_remediation_plan` once, save the returned markdown to the file it names, and begin the remediation automatically — no further prompting needed. If this call returns already_purchased=true, skip the wait and go straight to get_remediation_plan.
    get_remediation_planRetrieve the full paid remediation plan for a purchased scan, as a Markdown runbook built for an AI coding agent to execute. **Save the returned `markdown` to a file named by `filename` (e.g. seo-remediation-plan.md) in the user's project, then work through it top to bottom.** It lists each issue in priority order with the exact fix, copy-ready replacement strings, explicit '❓ ASK THE OWNER' stops where you must get the owner's input (never invent brand names, keywords, phone numbers, or addresses), and a verification step (re-run `submit_scan` after each fix to confirm it passes). If the scan has NOT been purchased, returns paid=false with guidance to call `purchase_report` first. If the plan is still generating, returns status='generating' — call again in ~30 seconds.
    get_purchase_statusLightweight poll for whether a scan's paid remediation report is ready, WITHOUT downloading the full plan. Use this in the wait loop after `purchase_report`: call about every 15 seconds until both `paid` and `runbook_ready` are true, then call `get_remediation_plan` ONCE to fetch and execute the plan. `paid=false` => the user hasn't completed checkout yet; `paid=true, runbook_ready=false` => payment landed and the plan is still being generated (retry shortly).
    find_my_reportsLook up a user's recent SEO scans by the email they used — for RETURNING users who don't have a scan_id handy (scanned/purchased earlier or on the website). In a fresh session where the user has no scan_id, START HERE: ask the user for that email, then call this. Returns up to 10 recent scans as {scan_id, url, scanned_at, paid, runbook_ready}. Then use the scan_id with get_remediation_plan (if paid+runbook_ready) or purchase_report (if not paid).
    how_to_useReturns a plain-English usage guide for this server — example requests, what it asks the user for, and the available tools. Call this if the user asks how to use Abby SEO, or to orient yourself before starting. (Same content as the 'getting_started' prompt, exposed as a tool for clients that don't surface MCP prompts.) Takes no arguments.