On-Page.ai SEO MCP

Name: On-Page.ai SEO MCP
Author: on-page-ai

@on-page-ai

关于 On-Page.ai SEO MCP

On-Page.ai SEO MCP server for search engine optimization work with Codex and Claude Code. Public docs, examples, and directory metadata for the hosted server.

基本信息

分类

其他

许可证

MIT

运行时

shell

发布者

on-page-ai

配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

工具

Default full SEO audit for URL + keyword recommendations

Faster entity and competitor-cohort scan

Deeper competitor analysis and optional page-experience benchmark

Categorize a URL or text into topical buckets

Check async job status

Wait for async job completion

Fetch a completed job result

Check available credits and route costs

概览

What is On-Page.ai SEO MCP?

On-Page.ai SEO MCP is a hosted Model Context Protocol (MCP) server that provides AI agents with structured, evidence-backed search engine optimization data. It enables keyword research, competitor analysis, entity-gap detection, on-page audits, and search-result recommendations. The server is designed for developers and SEO professionals using AI coding assistants like Codex, Claude Code, or ChatGPT.

How to use On-Page.ai SEO MCP?

Install the server from the quick-install page at https://api.on-page.ai/install. Supply authentication via OAuth (with the required scope mcp:seo) or an API key bearer token for manual clients. The server URL is https://api.on-page.ai/mcp and uses Streamable HTTP transport. Invoke tools such as scan_page, scan_page_lite, scan_page_deep, classify_text, check_job, wait_for_job, get_job_result, or check_credits from any MCP-compatible client.

Key features of On-Page.ai SEO MCP

Scans live URLs and compares them against search-result cohorts.
Finds missing entities and related terms for target keywords.
Compares competitor topic coverage and identifies gaps.
Generates internal-link candidates automatically.
Benchmarks page experience against top-ranking competitors.
Provides customer-safe structured reports for agent reasoning.

Use cases of On-Page.ai SEO MCP

Automate SEO audits and content recommendations inside AI coding assistants.
Improve organic visibility by identifying entity gaps and competitor coverage.
Generate targeted content briefs based on real-time search result analysis.
Benchmark page experience metrics against top SERP competitors.
Integrate SEO evidence directly into code review and writing workflows.

FAQ from On-Page.ai SEO MCP

How do I authenticate with the server?

Use OAuth with the mcp:seo scope where supported, or provide an API key bearer token for manual clients. The server URL is https://api.on-page.ai/mcp.

What tools are available?

Eight tools are provided: scan_page (full audit), scan_page_lite (faster scan), scan_page_deep (deep analysis), classify_text, check_job, wait_for_job, get_job_result, and check_credits.

What data does the server access?

It accesses structured SEO data by scanning live URLs and comparing them against the current search-result cohort for a specified keyword. It returns entity gaps, competitor coverage, internal-link opportunities, and page-experience benchmarks.