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searchconsole-mcp

A Google Search Console APIs LLM MCP built with JavaScript.

Install / Use

claude mcp add vmandic -- npx -y github:vmandic/searchconsole-mcp

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

76/100

Supported Platforms

Claude Code
Claude Desktop

Tags

Our assessment of searchconsole-mcp

searchconsole-mcp scores 76/100 on our quality scale, 807th of 958 AI & Machine Learning skills we index.

Its MCP Server is 29 KB long, well organised into 46 sections with 35 code examples: a thorough specification that gives an agent plenty to work with.

It has 3 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
30/30
Structure
20/20
Description
8/15
Adoption
3/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 24 days ago, so searchconsole-mcp is actively maintained.
  • Our last check on 2026-09-12 found the source still online.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 87/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the first 100 KB of the file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-10-03. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

searchconsole-mcp compared with similar skills

All 4 of these similar skills score higher than searchconsole-mcp; compare them before choosing.

SkillScoreStarsUpdatedFormat
searchconsole-mcp (this skill)by vmandic76324d agoMCP Server
claude-memby thedotmack10095.2ktodayCLAUDE.md
Agent-Reachby Panniantong10088.6k17d agoCLAUDE.md
Understand-Anythingby Egonex-AI10085.1ktodayCLAUDE.md
headroomby headroomlabs-ai10074.3ktodayCLAUDE.md

Frequently asked questions

How do I install searchconsole-mcp?
Run claude mcp add vmandic -- npx -y github:vmandic/searchconsole-mcp. The install tabs above show the steps for each supported agent.
Which AI agents does searchconsole-mcp work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is searchconsole-mcp safe to use?
Our scan of the first 100 KB of the file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 87/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is searchconsole-mcp still maintained?
The repository was last updated 24 days ago, so searchconsole-mcp is actively maintained.

Search Console MCP

CI GitHub release npm version License: MIT Node MCP

Read-only Google Search Console for AI coding agents.
Connect Cursor, Claude Desktop, or any MCP client to your GSC properties: search performance, URL inspection, and sitemaps, without leaving the editor.

  • Read-only by design — OAuth scope webmasters.readonly only; no writes to Google
  • Stdio by default — safe local use with Cursor and Claude
  • Five focused tools — no GA4, no Indexing API, no admin clutter
  • Hardened HTTP mode — optional streamable HTTP with loopback bind, body limits, and session caps

Table of contents


Why use this

Search Console data helps agents answer real SEO questions: which queries drive traffic, whether a URL is indexed, or what sitemaps are on file. This server exposes that data through the Model Context Protocol so tools like Cursor can call Google’s API on your behalf.

Use it when you want:

  • Property lists and search analytics inside an agent session
  • URL inspection results without opening the GSC UI
  • A small, auditable surface (five tools) instead of a general Google analytics bundle

Features

| Capability | MCP tool | |------------|----------| | List properties you can access | gsc_list_sites | | Clicks, impressions, CTR, position (with dimensions) | gsc_search_analytics | | Indexing / crawl / rich-result inspection for a URL | gsc_inspect_url | | Sitemaps submitted for a property | gsc_list_sitemaps | | MCP server liveness (local Node.js, not Google) | gsc_mcp_server_ping |

Input validation — Tool arguments are validated with Zod (dates, URLs, row limits, allowlisted dimensions).

Optional TOON output — Set GSC_OUTPUT_FORMAT=toon to return compact TOON payloads (fewer tokens on search analytics and list tools).

Clear errors — Failures return MCP text with isError: true and actionable messages (auth, site_url format, quota).


Quick start

Agentic install prompt

Paste the block below into Cursor, Claude Code, Copilot, or Codex and ask it to run the setup. The agent should execute the steps on your machine and wire up your MCP client.

Assumptions (confirm with you before changing anything):

| Assumption | Why it matters | |------------|----------------| | Node.js 18+ | Required to build and run searchconsole-mcp | | gcloud CLI | Used for API enablement and Application Default Credentials (ADC) | | Google Cloud project | Search Console API must be enabled on a GCP project (not the same as a GSC property) | | Google account | Must already have access to the Search Console properties you care about | | User ADC (default) | Setup uses gcloud auth application-default login with webmasters.readonly, not a checked-in service account key | | Stdio transport | MCP config must not pass --transport http unless you explicitly want HTTP mode | | Absolute paths | MCP config needs the real path to dist/server.js after npm run build | | Which MCP client | Config file shape differs (Cursor/Claude Code: mcpServers; VS Code Copilot: servers; Codex: config.toml) |

The agent should ask for: install directory, GCP project ID, and which client you use.

Set up the searchconsole-mcp MCP server from https://github.com/vmandic/searchconsole-mcp on this machine end-to-end.

Before you change anything, confirm with me:
1) Which MCP client I use (Cursor, Claude Code, GitHub Copilot in VS Code, OpenAI Codex, or Claude Desktop).
2) A Google Cloud project ID where we can enable the Search Console API (or use my current gcloud default project).
3) Where to clone the repo (default: ~/source/vmandic/searchconsole-mcp or a path I choose).

Then do the following, reporting each step:

A) Prerequisites
- Verify Node.js >= 18 and gcloud are installed.
- Do not commit or paste any secrets into the repo.

B) Clone, build, test
- git clone https://github.com/vmandic/searchconsole-mcp.git into the chosen directory.
- npm install && npm run build && npm test
- Confirm dist/server.js exists.

C) Google Cloud + auth (user ADC)
- gcloud services enable searchconsole.googleapis.com --project=PROJECT_ID
- gcloud auth application-default login --scopes=https://www.googleapis.com/auth/webmasters.readonly
  (If this opens a browser, tell me to complete sign-in.)
- gcloud auth application-default set-quota-project PROJECT_ID
- Remind me: I need Search Console property access on my Google account; the GCP project only enables the API.

D) MCP client config (stdio only — no --transport http)
- Add searchconsole-mcp using command "node" and args ["ABSOLUTE_PATH/dist/server.js"], or command "searchconsole-mcp" if we npm link -g.
- Use the correct config file for my client (see the repo README "Connect your MCP client"):
  - Claude Code: prefer `claude mcp add searchconsole-mcp --transport stdio -- node ABSOLUTE_PATH/dist/server.js` first if I use multiple clients.
  - Cursor: ~/.cursor/mcp.json → mcpServers
  - VS Code Copilot: .vscode/mcp.json or user MCP config → servers, type stdio
  - Codex: ~/.codex/config.toml → [mcp_servers.searchconsole-mcp] or `codex mcp add`
- Use absolute paths only.

E) Verify
- Tell me to restart the MCP client.
- After restart, call tool gsc_mcp_server_ping (local server only, not Google).
- Call gsc_list_sites and show whether properties were returned; if auth fails, point me to README troubleshooting.

When finished, summarize: clone path, GCP project ID, config file edited, and the exact JSON/TOML or CLI command used.

Manual setup

Use this if you prefer to run commands yourself.

Fastest path (npm): install from @vmandic/searchconsole-mcp, complete Google authentication, then connect your MCP client with npx (see Option A — Install from npm).

1. Install and build (from source):

git clone https://github.com/vmandic/searchconsole-mcp.git
cd searchconsole-mcp
npm install
npm run build

2. Enable the API and authenticate (one-time; requires a Google Cloud project):

gcloud services enable searchconsole.googleapis.com --project=YOUR_PROJECT_ID
gcloud auth application-default login \
  --scopes=https://www.googleapis.com/auth/webmasters.readonly
gcloud auth application-default set-quota-project YOUR_PROJECT_ID

Your Google user must have access to the Search Console properties you want. The GCP project does not replace that.

3. Connect a client — example for Cursor (~/.cursor/mcp.json). Using Claude Code, Copilot, or Codex too? See Connect your MCP client (set up Claude Code first if you use several).

{
  "mcpServers": {
    "searchconsole-mcp": {
      "command": "node",
      "args": ["/absolute/path/to/searchconsole-mcp/dist/server.js"],
      "env": {}
    }
  }
}

4. Restart the client, then ask: “List my Search Console properties” (tool gsc_list_sites).

Stdio is the default (no extra flags). Logs go to stderr; JSON-RPC uses stdin/stdout.


Requirements

| Requirement | Notes | |-------------|--------| | Node.js | 18 or newer | | Google account | With access to the Search Console properties you care about | | Google Cloud project | Required to enable the Search Console API; used for API quota (not the same as a GSC property) | | Credentials | Application Default Credentials (user login via gcloud) or a service account JSON via GOOGLE_APPLICATION_CREDENTIALS | | MCP client | Cursor, Claude Desktop, or any client that supports stdio MCP (HTTP optional) |

Optional: Google Cloud SDK (gcloud) for the interactive ADC login flow.


Installation

Published on npm as @vmandic/searchconsole-mcp. The name is scoped because npm rejects unscoped searchconsole-mcp as too similar to search-console-mcp (a different package).

Option A — Install from npm (recommended)

No clone required. You still need Google authentication on the machine.

Run once (smoke test):

npx -y @vmandic/searchconsole-mcp --help
npx -y @vmandic/searchconsole-mcp --version

Global CLI (optional):

npm install -g @vmandic/searchconsole-mcp
searchconsole-mcp --help

MCP client (stdio via npx) — works in Cursor, Claude Code, Copilot, Codex, Claude Desktop. Example for Cursor (~/.cursor/mcp.json):

{
  "mcpServers": {
    "searchconsole-mcp": {
      "command": "npx",
      "args": ["-y", "@vmandic/searchconsole-mcp"]
    }
  }
}

After npm install -g, you can use "command": "searchconsole-mcp" and "args": [] instead.

Restart the MCP client, then try “List my Search Console properties” (gsc_list_sites).

Option B — Run from a clone (development)

git clone https://github.com/vmandic/searchconsole-mcp.git
cd searchconsole-mcp
npm install
npm test          # optional: unit tests
npm run build     # produces dist/server.js

Verify:

node dist/server.js --help
node dist/server.js --version

Point your MCP client at node /absolute/path/to/searchconsole-mcp/dist/server.js (see Connect your MCP client).

Option C — Global CLI from a local build

From a clone after npm run build:

npm link -g
searchconsole-mcp --help

Then use "command": "searchconsole-mcp" in MCP config instead of node …/dist/server.js.


Google authentication

The server never stores passwords. It uses Application Default Credentials (ADC): the same mechanism as gcloud and Google client libraries.

You need two different things from Google:

| What | Purpose | |------|---------| | Search Console property access | Your Google user (or service account) must be a user on the site in Search Console | | **Google Cloud projec

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars3
CategoryAI
Updated24d ago
Forks0

Languages

TypeScript

Trust signals

87/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

2 low