mcp-server

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

사용해야 할까요

품질 및 안전성

A
설명 품질
100%
스키마 완전성
91%
이름 품질
95%
오염 위험
100%
권한 일치
100%
프로토콜 준수
100%

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~1,806토큰 (도구 정의)
~609 B일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 1.41%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

{
  "mcpServers": {
    "mcp-server": {
      "url": "https://www.abbyseo.com/mcp"
    }
  }
}

원격 엔드포인트

https://www.abbyseo.com/mcpstreamable-http

할 수 있는 일

도구 목록

도구 (8)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🔴submit_scan(email, url)

Queue 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.

입력 스키마

{
  "type": "object",
  "properties": {
    "email": {
      "description": "REQUIRED. The user's email address. Scan results will be sent here. ASK THE USER for this if you don't already know it — do not invent a placeholder.",
      "format": "email",
      "type": "string"
    },
    "url": {
      "description": "Full URL of the page to scan (https://example.com). http:// or https:// scheme will be added if missing.",
      "format": "uri",
      "type": "string"
    }
  },
  "required": [
    "url",
    "email"
  ],
  "additionalProperties": false
}
🟢get_scan_status(scan_id)

Check 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.

입력 스키마

{
  "type": "object",
  "properties": {
    "scan_id": {
      "description": "Scan ID from a prior submit_scan call.",
      "type": "string"
    }
  },
  "required": [
    "scan_id"
  ],
  "additionalProperties": false
}
🟢get_scan_results(scan_id)

Fetch 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.

입력 스키마

{
  "type": "object",
  "properties": {
    "scan_id": {
      "description": "Scan ID from a prior submit_scan call. The scan must be in 'complete' status.",
      "type": "string"
    }
  },
  "required": [
    "scan_id"
  ],
  "additionalProperties": false
}
🟡purchase_report(scan_id)

Start 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.

입력 스키마

{
  "type": "object",
  "properties": {
    "scan_id": {
      "description": "Scan ID from submit_scan. The scan must be 'complete'.",
      "type": "string"
    }
  },
  "required": [
    "scan_id"
  ],
  "additionalProperties": false
}
🟢get_remediation_plan(scan_id)

Retrieve 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.

입력 스키마

{
  "type": "object",
  "properties": {
    "scan_id": {
      "description": "Scan ID that was purchased via purchase_report.",
      "type": "string"
    }
  },
  "required": [
    "scan_id"
  ],
  "additionalProperties": false
}
🟢get_purchase_status(scan_id)

Lightweight 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).

입력 스키마

{
  "type": "object",
  "properties": {
    "scan_id": {
      "description": "Scan ID from submit_scan / purchase_report.",
      "type": "string"
    }
  },
  "required": [
    "scan_id"
  ],
  "additionalProperties": false
}
🟢find_my_reports(email)

Look 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).

입력 스키마

{
  "type": "object",
  "properties": {
    "email": {
      "description": "The email address the user used when scanning or purchasing.",
      "format": "email",
      "type": "string"
    }
  },
  "required": [
    "email"
  ],
  "additionalProperties": false
}
🟢how_to_use

Returns 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.

입력 스키마

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

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