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OnPage SEO Checker

Comprehensive on-page SEO analysis tool. Check title tags, meta descriptions, headings, images, links, mobile optimization, performance, structured data, and more.

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Overview

OnPage SEO Checker is a production-ready Model Context Protocol (MCP) server built to give AI agents reliable, structured access to onpage seo checker capabilities.

It acts as a standardized bridge between large language models and real-time data. Instead of relying on static training knowledge, models can retrieve live results, web content, and intelligence through a controlled MCP interface.

By integrating this MCP server, developers enable models such as Claude, GPT-4, Gemini, and open-source LLMs to:

• Execute structured OnPage SEO Checker queries • Access live data in real time • Retrieve specialized information programmatically • Ground responses in verifiable external sources

This architecture significantly improves factual accuracy, reduces hallucination risk, and expands what AI systems can accomplish in research, automation, monitoring, and decision-support workflows.

OnPage SEO Checker is designed for teams building production AI agents that require dependable, real-time access to the onpage seo checker within a standardized MCP ecosystem.

Highlights

Protocol
MCP v1.0
Security
OAuth 2.0
Access
Real-time
Tools
2 Tools

Standardized bridge for real-time model context.

Installation

Connect this server to your local or remote agent environment.

mcp_config.json
{
  "mcpServers": {
    "mcp360": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://connect.mcp360.ai/v1/onpage-seo/mcp?token=YOUR_API_KEY"
      ]
    }
  }
}
Replace YOUR_API_KEY with your actual key from the dashboard.

Available Tools

Technical specifications for the 2 available protocol tools.

2 tools

bulk_onpage_checker tool

Input Specification
{
  "type": "object",
  "required": [
    "urls"
  ],
  "properties": {
    "urls": {
      "type": "array",
      "items": {
        "type": "string",
        "format": "uri"
      },
      "maxItems": 10,
      "minItems": 1,
      "description": "Array of URLs to analyze (1-10 URLs, e.g., ['https://example.com', 'https://example.com/about'])"
    }
  },
  "additionalProperties": false
}
Output Response
{
  "type": "object",
  "properties": {
    "errors": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "results": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "url": {
            "type": "string"
          },
          "score": {
            "type": "object",
            "properties": {
              "links": {
                "type": "number"
              },
              "title": {
                "type": "number"
              },
              "images": {
                "type": "number"
              },
              "mobile": {
                "type": "number"
              },
              "schema": {
                "type": "number"
              },
              "social": {
                "type": "number"
              },
              "content": {
                "type": "number"
              },
              "overall": {
                "type": "number"
              },
              "headings": {
                "type": "number"
              },
              "performance": {
                "type": "number"
              },
              "meta_description": {
                "type": "number"
              }
            }
          },
          "issues": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "message": {
                  "type": "string"
                },
                "category": {
                  "type": "string"
                },
                "severity": {
                  "type": "string"
                },
                "recommendation": {
                  "type": "string"
                }
              }
            }
          },
          "metrics": {
            "type": "object",
            "properties": {
              "title": {
                "type": "string"
              },
              "h1Tags": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              },
              "h2Tags": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              },
              "h3Tags": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              },
              "h1Count": {
                "type": "number"
              },
              "h2Count": {
                "type": "number"
              },
              "h3Count": {
                "type": "number"
              },
              "ogImage": {
                "type": "string"
              },
              "ogTitle": {
                "type": "string"
              },
              "loadTime": {
                "type": "number"
              },
              "hasRobots": {
                "type": "boolean"
              },
              "wordCount": {
                "type": "number"
              },
              "imageCount": {
                "type": "number"
              },
              "brokenLinks": {
                "type": "number"
              },
              "hasViewport": {
                "type": "boolean"
              },
              "titleLength": {
                "type": "number"
              },
              "twitterCard": {
                "type": "string"
              },
              "canonicalUrl": {
                "type": "string"
              },
              "hasCanonical": {
                "type": "boolean"
              },
              "hasOpenGraph": {
                "type": "boolean"
              },
              "twitterTitle": {
                "type": "string"
              },
              "externalLinks": {
                "type": "number"
              },
              "internalLinks": {
                "type": "number"
              },
              "ogDescription": {
                "type": "string"
              },
              "robotsContent": {
                "type": "string"
              },
              "totalHeadings": {
                "type": "number"
              },
              "hasTwitterCard": {
                "type": "boolean"
              },
              "metaDescription": {
                "type": "string"
              },
              "imagesWithoutAlt": {
                "type": "number"
              },
              "hasStructuredData": {
                "type": "boolean"
              },
              "contentToCodeRatio": {
                "type": "number"
              },
              "twitterDescription": {
                "type": "string"
              },
              "structuredDataTypes": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              },
              "metaDescriptionLength": {
                "type": "number"
              }
            }
          },
          "analyzedAt": {
            "type": "string"
          },
          "recommendations": {
            "type": "array",
            "items": {
              "type": "string"
            }
          }
        }
      }
    },
    "success": {
      "type": "boolean"
    },
    "totalAnalyzed": {
      "type": "number"
    }
  }
}

Direct API Access

Production-ready REST endpoints for custom integrations.

POSTServer Metadata
/api/v1/onpage-seo
curl "https://connect.mcp360.ai/api/v1/onpage-seo" \
  -H "Authorization: Bearer YOUR_API_KEY"
POSTExecute Tool
/api/v1/onpage-seo/{tool_name}
curl -X POST "https://connect.mcp360.ai/api/v1/onpage-seo/bulk_onpage_checker" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "urls": [
    "https://example.com"
  ]
}'
Authentication

To authenticate, include your API key in the Authorization header using the Bearer scheme. Alternatively, you can use the X-API-KEY header.

Infrastructure

Unified MCP Gateway

One hub for 100+ production-ready tools with centralized management.

Unified API Key

Access 100+ MCP servers with a single authentication token.

Instant Testing

Test and debug any MCP server instantly in our integrated environment.

Centralized Billing

One monthly subscription for all your AI tool integrations and credits.

Real-World Applications

Practical Use Cases

Discover how OnPage SEO Checker solves real problems and drives measurable results across different scenarios

Technical SEO Audits

Scan your site for technical SEO issues like meta tags, structured data, and crawlability

Example

"Detect missing meta descriptions on 50 pages and fix them in bulk"

Key Benefits

  • Better SERP visibility
  • Improved CTR
  • Technical compliance

On-Page Factor Optimization

Analyze individual pages for optimization opportunities

Example

"Check if your target keyword appears in title, H1, headers, and body text properly"

Key Benefits

  • Higher relevance scores
  • Better rankings
  • Improved user signals

Competitor Page Analysis

Audit competitor pages to identify what makes them rank higher

Example

"See that top-ranking competitor has 2000+ word count with 8 internal links"

Key Benefits

  • Benchmarking
  • Content improvement
  • Ranking acceleration

Content Optimization

Get specific recommendations to improve existing content for better rankings

Example

"Learn that adding an FAQ section and expanding intro could boost rankings"

Key Benefits

  • Quick wins
  • Improved performance
  • User satisfaction

Mobile SEO Validation

Ensure your pages are optimized for mobile search and user experience

Example

"Check mobile-friendliness, viewport settings, and touch element spacing"

Key Benefits

  • Better mobile rankings
  • Improved UX
  • Higher mobile conversions

Frequently Asked Questions

What is OnPage SEO Checker?

OnPage SEO Checker is an MCP server that provides structured access to onpage seo checker capabilities through a standardized protocol, enabling AI models to retrieve and process real-time data.

Which AI models are supported?

Any model that supports MCP protocol including Claude (via Claude Desktop), GPT-4, Gemini, and open-source LLMs through compatible frameworks.

How do I authenticate?

The server supports OAuth 2.0 authentication with API keys. You'll receive credentials upon registration which can be configured in your MCP client.

Is there rate limiting?

Yes, rate limits apply based on your subscription tier. Free tier includes generous limits for development, with higher limits available in paid plans.

Can I use this in production?

Absolutely. OnPage SEO Checker is designed for production use with enterprise-grade reliability, security, and performance.

Deploy AI agent with OnPage SEO Checker today.

Start building production-ready AI agent integrations in minutes with standardized protocol access.

Get Started FreeDocumentation
Enterprise Ready
Secure OAuth
24/7 Support