Gsc Connector

Self-hosted Google Search Console MCP server, deployable to Cloudflare Workers in 15 minutes. Plug it into ChatGPT, Claude, or any MCP-capable client and query your GSC data in natural language.

Deploy to Cloudflare License: MIT

What this gives you

Once deployed, you get a private MCP endpoint that exposes 4 tools to your AI assistant:

• list_sites — discover every property accessible to the authenticated user
• query_search_analytics — clicks, impressions, CTR, position, filterable by query / page / country / device / search appearance / date
• inspect_url — full URL Inspection API output (indexing status, canonical, mobile, AMP)
• list_sitemaps — every submitted sitemap and its processing status

You ask: "Quelles sont mes 50 requêtes avec la plus grosse perte de clics entre les 28 derniers jours et les 28 jours précédents ?" and the assistant pulls the data, computes the delta, and writes the analysis. No more SQL exports.

How it works

ChatGPT/Claude  ──OAuth──▶  Your Worker  ──OAuth──▶  Google
                                 │
                                 └─ holds your Google refresh_token
                                    (encrypted, in OAuth grant props)

Two OAuth chains :

1. MCP client → Worker : ChatGPT/Claude do OAuth 2.1 + PKCE against your Worker. The login UI asks for a static "access key" you set at deploy time (the connector gate).
2. Worker → Google : after the access key check, the user is redirected to Google's consent screen to grant webmasters.readonly. The resulting refresh token is stored in the OAuth grant; on every tool call, the Worker refreshes a fresh access token and calls GSC.

The user's Google account drives access — no Service Account, no GSC user-management dance, no permission propagation delays.

Prerequisites

Item	Cost	Required ?
ChatGPT Plus / Pro / Team or Claude.ai Pro / Team	$20/mo+	Custom MCP connectors are gated on paid plans.
Cloudflare account	Free tier is enough	Yes
Google Cloud project	Free	Yes — to create an OAuth Client
Verified Search Console property	Free	Yes (you already have it)
Node.js 20+ + wrangler CLI	Free	Recommended for the secret-setting steps

The Cloudflare Workers free tier (100k requests/day) is largely enough for personal SEO usage. No paid Cloudflare plan needed.

Quick start (~15 min)

1. Deploy the Worker

Click the Deploy to Cloudflare button at the top of this README. Cloudflare clones the repo into your account, installs deps, and gives you a public URL like https://gsc-mcp-connector.<your-subdomain>.workers.dev.

Note : at this stage, you'll be asked for MCP_BEARER_TOKEN, GOOGLE_OAUTH_CLIENT_ID, and GOOGLE_OAUTH_CLIENT_SECRET. You don't have the Google ones yet — fill MCP_BEARER_TOKEN with any random hex string for now (you can change later), and paste anything in the two Google fields. We'll set them properly in step 4.

If you'd rather skip the button, clone the repo locally, run npm install, then npx wrangler deploy.

After deployment, note your Worker URL. You will need it both in step 3 and in step 5.

2. Generate a connector access key

This is a static random string used as a gate before Google OAuth. Anyone using the connector must paste this string in the login UI.

openssl rand -hex 32

Save the output — you'll set it as a secret and use it in ChatGPT/Claude.

3. Set up Google Cloud (OAuth Client)

Follow the step-by-step in docs/SETUP_GCP.md. Use your Worker URL from step 1 in the Authorized redirect URI. You'll end up with a Client ID and a Client Secret.

This is the longest step (~10 min the first time) but you only do it once.

4. Configure the Worker secrets

npx wrangler secret put MCP_BEARER_TOKEN
# paste the value from step 2

npx wrangler secret put GOOGLE_OAUTH_CLIENT_ID
# paste the Client ID from step 3

npx wrangler secret put GOOGLE_OAUTH_CLIENT_SECRET
# paste the Client Secret from step 3

Or via the Cloudflare dashboard : Workers & Pages → your worker → Settings → Variables and Secrets → add each as type Secret.

Tip — encoding pitfall on Windows : if you pipe a file's content (e.g. Get-Content | wrangler secret put) and that file has a UTF-8 BOM, the BOM ends up in your secret and breaks JSON parsing. The Cloudflare dashboard or interactive wrangler secret put (paste at the prompt) avoids this entirely.

5. Plug into ChatGPT (Plus/Pro/Team)

ChatGPT → Settings → Connectors → Add custom connector :

• Name : gsc
• MCP Server URL : https://YOUR-WORKER-URL/mcp (must end with /mcp)
• Authentication : OAuth
• Check "I understand and want to continue"
• Create

A popup opens to your Worker's login UI. Paste your MCP_BEARER_TOKEN → click Continue with Google → → Google asks you to log in (use the account that owns your GSC property) and grant webmasters.readonly → you're redirected back to ChatGPT, connector is active.

In a new chat, enable the gsc connector in the toolbar, then ask: "List my Google Search Console sites". You should see your properties.

6. (Optional) Plug into Claude.ai (Pro/Team)

Settings → Integrations → Add custom integration → same URL, same flow.

Local development

git clone https://github.com/JuJu78/gsc-mcp-connector
cd gsc-mcp-connector
npm install
cp .dev.vars.example .dev.vars
# edit .dev.vars with your real Client ID + Client Secret + bearer token
npx wrangler dev

The dev server runs on http://localhost:8787. Note that local dev cannot fully complete the Google OAuth flow because Google's redirect URIs require HTTPS. For a true end-to-end test, deploy to Cloudflare and test against the workers.dev URL.

Limitations

• Read-only. Adding write operations (submit sitemap, request indexing) is left out by design — they're risky in an LLM context. Open a PR if you need them.
• Single-tenant by design. One operator deploys, one bearer token gates the connector, the access is bound to whoever completes the Google OAuth dance. Multi-user SaaS-style is out of scope.
• OAuth consent in Testing mode caps you at 100 test users (more than enough for personal/team use). For broader distribution you'd need to submit the app for Google verification (webmasters.readonly is a "sensitive" scope, requires manual review).
• GSC API quotas — 1200 queries/min/project, 30k/day. Plenty for interactive use.
• Date range — GSC returns the last 16 months. Earlier dates error.

Troubleshooting

Symptom	Cause	Fix
Error 400: redirect_uri_mismatch during Google login	Authorized redirect URI in GCP doesn't exactly match what the Worker sends	Verify https://YOUR-WORKER/oauth/google/callback is configured as-is in GCP Credentials
Error 403: access_denied after Google login	Logged-in account isn't in Test users of the OAuth consent screen	Add the Gmail in OAuth consent screen → Audience → Test users
something went wrong after authorization in ChatGPT	Stale OAuth grant from a previous attempt	Delete the connector in ChatGPT and recreate it
No Google refresh token in grant. Re-authorize	The grant was created before you deployed v0.4+	Delete the connector in ChatGPT/Claude and recreate it
Invalid access key. Try again. after pasting the bearer	MCP_BEARER_TOKEN mismatch between secret and what you pasted	Re-set the secret via interactive wrangler secret put (avoid file-pipe to prevent BOM/newline pollution)
tools/call list_sites returns {}	Authenticated Google account has no GSC properties (or wrong account)	Verify which account you used in the Google consent step — it must own GSC properties
ChatGPT says "no tools available"	URL doesn't end with /mcp	Server URL must be https://YOUR-WORKER/mcp, not the bare root

Stack

• Cloudflare Workers + Durable Objects (via agents SDK ≥0.12)
• @cloudflare/workers-oauth-provider for OAuth 2.1 + DCR + PKCE
• @modelcontextprotocol/sdk for tool definitions
• KV namespace OAUTH_KV for OAuth state
• Google OAuth 2.0 flow signed natively via Web Crypto API (no Node deps)

Credits

Built by Julien Gourdon — SEO consultant exploring the intersection of search and AI.

License

MIT — see LICENSE.