Pricing

Pay per event

Google Search Console MCP (GSC)

A comprehensive Google Search Console Model Context Protocol (MCP) Actor that provides deep SEO analytics, keyword cannibalization detection, and search performance insights using your GSC data. Ideal for businesses, agencies, and SEO professionals seeking advanced search analytics.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Smacient

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

SEO tools

MCP servers

Integrations

You can access the Google Search Console MCP (GSC) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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            "required": [
              "access_token"
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            "properties": {
              "access_token": {
                "title": "Google Access Token",
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                "type": "string",
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                "editor": "textfield"
              }
            }
          },
          "toolName": {
            "title": "Tool Name",
            "enum": [
              "listVerifiedSites",
              "querySearchAnalytics",
              "getTopPerformingPages",
              "comparePerformancePeriods",
              "detectQueryCannibalization",
              "getUnbrandedTraffic",
              "findLongTailOpportunities",
              "getUserInfo"
            ],
            "type": "string",
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            "default": "listVerifiedSites"
          },
          "toolArgs": {
            "title": "Tool Arguments",
            "type": "object",
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            "properties": {
              "siteUrl": {
                "title": "Site URL",
                "type": "string",
                "description": "Your site URL or domain"
              },
              "startDate": {
                "title": "Start Date",
                "type": "string",
                "description": "Start date (YYYY-MM-DD)"
              },
              "endDate": {
                "title": "End Date",
                "type": "string",
                "description": "End date (YYYY-MM-DD)"
              },
              "queryDimensions": {
                "title": "Query Dimensions",
                "type": "array",
                "description": "Dimensions like query, page, country, device, date",
                "items": {
                  "type": "string"
                }
              },
              "brandKeywords": {
                "title": "Brand Keywords",
                "type": "array",
                "description": "List of brand terms to exclude",
                "items": {
                  "type": "string"
                }
              },
              "rankingMetric": {
                "title": "Ranking Metric",
                "type": "string",
                "description": "clicks, impressions, ctr, or position"
              }
            },
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          }
        }
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              "startedAt": {
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                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
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                  },
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                  }
                }
              },
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                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
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                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
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                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
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Google Search Console (GSC) MCP Server OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Google Search Console MCP (GSC) from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Google Search Console MCP (GSC) API in Python

Google Search Console MCP (GSC) API in JavaScript

Google Search Console MCP (GSC) API through CLI

Google Search Console MCP (GSC) API

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