Which integrations are available for this server?

Query Google Search Console data including search analytics, indexing status, sitemaps, and URL inspection across multiple accounts.

How do I use mcp-search-console?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mcp-search-console Show top queries for my-site last month" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

mcp-search-console

by apexradius

Overview Schema Related Servers Score Discussions

Python

Hybrid

mcp-search-console

Multi-account Google Search Console MCP server for operators who need one MCP surface across multiple sites or clients without restarting the server.

Release posture: beta package, version 0.1.3 from pyproject.toml.

Choose your path

You are...	Start here	Then
Connecting the server to Claude/Codex/Cursor	docs/start-here.md	Quick start below
Auditing account routing or destructive guards	docs/architecture.md	`gsc/server.py`
Reviewing packaging or registry metadata	`pyproject.toml`	`server.json`

Related MCP server: gsc-mcp-connector

Architecture

flowchart TD
  U[AI operator] --> C[MCP client]
  C --> S[FastMCP server]
  S --> M[Account manager]
  M --> F[Accounts config]
  M --> A[OAuth or service-account auth]
  S --> R[Retry wrapper]
  R --> G[Google Search Console API]
  G --> R --> S

Request flow

flowchart TD
  P[Operator asks for analytics or indexing data] --> T[Selected MCP tool]
  T --> A[Resolve named or default account]
  A --> B[Build authenticated GSC client]
  B --> C[Call Search Console endpoint]
  C --> D{API call succeeds?}
  D -- yes --> E[Return normalized JSON]
  D -- retryable --> F[Backoff and retry]
  F --> D
  D -- no --> G[Return error payload]

Quick start

Install the package.

python -m pip install mcp-search-console-multi

Create the accounts config.

mkdir -p ~/.config/mcp-search-console
cp accounts.example.json ~/.config/mcp-search-console/accounts.json

{
  "mcpServers": {
    "search-console": {
      "command": "uvx",
      "args": ["mcp-search-console-multi"],
      "env": {
        "GSC_ACCOUNTS_CONFIG": "/Users/you/.config/mcp-search-console/accounts.json"
      }
    }
  }
}

Available tools

Tool group	Tools	Purpose
Account routing	`list_accounts`, `set_default_account`, `reauthenticate`	Inspect accounts, switch defaults, refresh auth
Property inventory	`list_properties`, `get_site_details`	Discover accessible properties and permissions
Search analytics	`get_search_analytics`, `get_performance_overview`, `compare_periods`, `get_advanced_search_analytics`, `get_search_by_page`	Query search-performance data
Inspection and sitemaps	`inspect_url`, `batch_inspect_urls`, `check_indexing_issues`, `list_sitemaps`, `get_sitemap`, `submit_sitemap`, `delete_sitemap`	Inspect indexing and manage sitemap submissions

submit_sitemap and delete_sitemap stay behind the destructive flag documented in docs/start-here.md.

Runtime proof

Claim	Proof
Package entry point is stable	`mcp-search-console-multi = "gsc.server:main"` in `pyproject.toml`
Multi-account routing is first-class	`AccountManager()` and `_get_manager()` in `gsc/server.py`
Search Console calls are retried	`with_retry()` in `gsc/server.py` and `gsc/retry.py`
Auth is file-driven per account	`accounts.example.json` and `gsc/accounts.py`

Repo map

Path	Purpose
`gsc/server.py`	FastMCP tool surface and response normalization
`gsc/accounts.py`	Account config, auth loading, client construction
`gsc/auth/`	OAuth and service-account auth implementations
`gsc/retry.py`	Retry behavior for transient API failures
`docs/start-here.md`	Setup, env, validation, common failures
`docs/architecture.md`	Component map and runtime lifecycle

Validation

Check	Command
Import compiles	`python -m compileall gsc`
Package builds	`python -m build`
README/docs links stay local	`rg '\\]\\(([^)]+\\.md)\\)' README.md docs/`

License

MIT

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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