
Samarth Gtm Mcp
io.github.samarthanalytics-sjPublished by GitHub account samarthanalytics-sjv1.19.0Updated Oct 24, 2026
Google Tag Manager + read-only GA4 MCP server. Read-only by default, gated writes, audits.
Overview
Local MCP server for Google Tag Manager and read-only GA4: browse, audit, and (when enabled) edit, publish or delete GTM resources.
- What you can do
- List and inspect GTM accounts, containers, workspaces, destinations and installation snippets
- Read, create, update and delete tags, triggers, variables, folders and built-in variables
- Manage versions, environments, user permissions, and server-side resources such as clients, transformations, zones, templates and gtag config
- Audit a workspace for analytics issues and export it as structured JSON
- Query GA4 Admin settings and run GA4 Data API reports, including realtime reports
- When to use it
- Useful when you want an assistant to review or maintain a Google Tag Manager setup and cross-check it against GA4 reporting, for example auditing a container, reconciling configured events with reported activity, or making gated tag and trigger changes.
- Requirements
- Runs locally as an npm package over stdio (Node.js 18 or newer per the README). Needs a Google Cloud project with the Tag Manager, Analytics Admin and Analytics Data APIs enabled, a Google OAuth desktop client, and GOOGLE_OAUTH_CLIENT_ID plus GOOGLE_OAUTH_CLIENT_SECRET; OAuth sign-in is done once via a setup script. The README's desktop app also asks for an LLM API key.
Installation
In SourceWeft
- Open Samarth Gtm Mcp in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
Samarth Analytics MCP
An open-source Model Context Protocol (MCP) server that lets AI assistants such as Claude Desktop, Claude Code and Cursor work with Google Tag Manager and GA4. It covers the full GTM API v2 surface (100+ tools, including server-side containers), the GA4 Admin and Data APIs, a built-in implementation audit, and a second server that crawls a website to check its tags and Consent Mode v2 setup. Built by Samarth Analytics for our own client work and released under the MIT license for the analytics community.
Read-only by default. Creating, updating, publishing and deleting are each behind a separate environment flag, every write also requires confirm=true, and a dry-run mode simulates writes without touching the API. See Guardrails.
Use it at your own risk, and start on a dummy container. The server acts with your Google credentials, so every change it makes is yours. Try it first on a sandbox GTM container and a test GA4 property, keep the write flags off until you have watched how it behaves, and review the container's version history after any write session. We run it in production, but your setup is not ours.
Three ways to use it
The repo also ships Samarth Desktop, a local Electron app with a chat UI that embeds this server (Quick Start), and a browser-based customer portal in apps/portal/ that runs live, read-only QC audits.
Contributions are welcome. Bug reports with a reproducible container setup are the most useful thing you can send. Read CONTRIBUTING.md first; CI runs on every pull request.
Table of Contents
- Features
- Quick Start
- Google Cloud OAuth Setup
- Service Account Limitations
- Environment Variables Reference
- Guardrails
- Available Tools
- Cloud Deployment
- Security Notes
- Development
- Releases
- Troubleshooting
Features
- Full GTM API v2 surface — accounts, containers, workspaces, tags, triggers, variables, folders, built-in variables, versions, sync, publish, preview
- Server-side & advanced GTM coverage — environments, user permissions, destinations, clients, transformations, zones, custom templates, gtag config, plus container snippet/lookup/combine/move-tag-id and workspace change-diff status
- GA4 coverage — GA4 Admin tools (
ga4_*) plus GA4 Data API reporting (ga4_run_report,ga4_run_realtime_report) for intent-vs-reality reconciliation. Reads and reporting need onlyanalytics.readonly; the GA4 Admin write tools are off by default behindGA4_MCP_ENABLE_WRITES/GA4_MCP_ENABLE_DELETESand additionally needanalytics.edit - Automatic pagination — every paginated list tool transparently follows
nextPageTokento return all results, with optionalmaxPages/pageTokenbounds - Retry with exponential backoff + jitter — transient Google API failures (HTTP 408/429/5xx, network errors) on read requests are retried automatically; mutations are never auto-retried (tunable via
GTM_MCP_RETRY_*) - Two transport modes: stdio (local, for Claude Desktop/Cursor) and Streamable HTTP (cloud/team)
- Guardrails by default: read-only unless explicitly enabled; publish and delete gated separately
- Dry-run mode: simulate all writes without touching the API
confirm=truerequired on all write/delete/publish operations- Audit tool: inspects workspace for common GA4/GTM implementation issues
- Export tool: full workspace dump as structured JSON
- Zod schema validation on all inputs
- Detailed Google API error messages surfaced to the MCP client
Quick Start
The way to run Samarth is the desktop app - a local Electron app with a chat UI that embeds the MCP server in-process. Multi-account Google sign-in, per-account LLM keys (OpenAI / Anthropic / Gemini), secrets in the OS keychain. Nothing to configure by hand: the Google OAuth client and your LLM key are entered in the app on first run.
You need: Node.js 18 or newer, Git, and a free Google "Desktop app" OAuth client - two values you create once in your Google Cloud project (exact click-by-click steps).
The window opens; paste your OAuth client ID + secret and an LLM API key when asked, sign in to Google, and start chatting with your GTM / GA4 setup.
Prefer a config file over typing in the app? Put the OAuth client in a
.env file instead - the app reads it on launch (values typed in the app and
real shell variables always take precedence):
Save it as apps/desktop/.env or at the repo root (already gitignored - never
commit it). A repo-root .env using the server's GOOGLE_OAUTH_CLIENT_ID /
GOOGLE_OAUTH_CLIENT_SECRET names works too, so one file can serve both the
app and the MCP server. A packaged install reads .env from its data
directory instead (%APPDATA% on Windows).
Your everyday launch afterwards is just:
Full guide - Windows/macOS specifics, first-run setup, building a real
.exe/.dmg installer, and the Error: Electron uninstall fix:
apps/desktop/INSTALL.md.
Google Cloud OAuth Setup
Step 1: Enable the GTM API
- Go to Google Cloud Console
- Select or create a project
- Navigate to APIs & Services → Library
- Search for "Tag Manager API" and click Enable
- Search for "Google Analytics Admin API" and click Enable (required for the read-only
ga4_*Admin tools) - Search for "Google Analytics Data API" and click Enable (required for
ga4_run_report/ga4_run_realtime_report)
Step 2: Create OAuth 2.0 Credentials
- Go to APIs & Services → Credentials
- Click Create Credentials → OAuth 2.0 Client ID
- Choose application type:
- Desktop app — simplest for local stdio use (no redirect URI needed)
- Web application — for the HTTP server (add your redirect URI)
- Download the JSON or copy the Client ID and Client Secret
- Add to
.env:
Step 3: Configure OAuth Consent Screen
- Go to APIs & Services → OAuth consent screen
- Choose External (or Internal if you have Google Workspace)
- Fill in App name, support email
- Add scopes:
https://www.googleapis.com/auth/tagmanager.readonlyhttps://www.googleapis.com/auth/tagmanager.edit.containershttps://www.googleapis.com/auth/tagmanager.edit.containerversionshttps://www.googleapis.com/auth/tagmanager.manage.accountshttps://www.googleapis.com/auth/tagmanager.manage.usershttps://www.googleapis.com/auth/tagmanager.publishhttps://www.googleapis.com/auth/analytics.readonly(read-only GA4 Admin and Data API tools)https://www.googleapis.com/auth/analytics.edit(GA4 Admin write tools — gated byGA4_MCP_ENABLE_WRITES)https://www.googleapis.com/auth/analytics.manage.users(GA4 access-binding write tools)
- Add your Google account as a test user (while the app is in "testing" mode)
Note: For personal/agency use, keeping the app in "Testing" mode is fine. You will need to re-authorize every 7 days unless you publish the app or get it verified.
Step 4: Run OAuth Setup
Or, if you prefer the older paste-the-code helper:
Service Account Limitations
Short version: Service accounts do NOT work with GTM by default. Use OAuth 2.0.
The Google Tag Manager API is a user-data API — it manages resources owned by individual Google accounts. Service accounts are not Google users and are not automatically granted access to GTM containers.
Option A: Add the service account as a GTM user (simplest)
If you still want to use a service account:
- Get the service account email (e.g.,
[email protected]) - In GTM, go to Admin → User Management at the account or container level
- Add the service account email with the appropriate role (Read, Edit, Approve, Publish)
- Set
GOOGLE_SERVICE_ACCOUNT_KEY_FILE=/path/to/key.jsonin.env
Caveats: This only works if the GTM container is associated with a Google account, not a Google Workspace that restricts external sharing.
Option B: Domain-Wide Delegation (Google Workspace only)
For Google Workspace organizations:
- Create a service account with a JSON key
- Enable Domain-Wide Delegation on the service account in Google Cloud Console
- In Google Workspace Admin Console → Security → API Controls → Domain-wide Delegation:
- Add the service account client ID
- Add scopes:
https://www.googleapis.com/auth/tagmanager.edit.containers(and others as needed)
- In
.env, set: - The server will impersonate the user automatically if you set a subject in
buildGoogleAuth()
Caveats: Requires a paid Google Workspace account. Only available for your own domain.
Environment Variables Reference
Guardrails
The server enforces three independent guardrails in addition to the confirm=true requirement:
confirm=true is always required on write/delete/publish tools regardless of env settings. This prevents accidental modifications even when guardrails are enabled.
Recommended Configurations
Read-only exploration (default — safe for sharing with team):
Development workspace edits (no publishing):
Full access (use with care):
Available Tools
Accounts
Containers
Destinations
Workspaces
Tags
Triggers
Variables
Folders
Built-In Variables
Versions
Environments
User Permissions (account-level)
Server-Side & Advanced Container Resources
These are workspace-scoped resources from GTM API v2. Create/update accept the full
resource as a JSON string (bodyJson) since their bodies are deeply nested. Each
supports *_list (auto-paginated), *_get, *_create ✏️, *_update ✏️, *_delete 🗑️,
and (except gtag_config) *_revert ✏️.
Analytics & Export
GA4 Admin (read-only)
Read-only wrappers over the Google Analytics Admin API (v1beta, with a single
v1alpha call for enhanced measurement). These never write, update, or delete GA4
resources and require no confirm flag. They power the senior audit framework's
GA4_ADMIN checks (custom dimensions/metrics, data streams & measurement IDs, data
retention, enhanced measurement, key events, Google Ads links).
Requires the https://www.googleapis.com/auth/analytics.readonly scope and the
Google Analytics Admin API enabled in your Google Cloud project. A 403 mentioning
scope means you should re-run npm run auth:google.
Accepts either a bare numeric ID (123456789) or the fully-qualified form
(properties/123456789, accounts/123456) wherever a property/account is required.
Documented limitations (not exposed by the GA4 Admin API v1beta, so intentionally not implemented rather than faked):
- Internal-traffic / unwanted-referral data filters — no public
dataFilterscollection; configured per data stream. - Referral exclusions — no dedicated Admin API resource.
- Channel groups and audiences — exist only on the v1alpha surface and are out of scope for this read-only v1beta set.
GA4 Data API (read-only reporting)
Read-only wrappers over the Google Analytics Data API (v1beta). They never
write and require no confirm flag. Use them to reconcile intent vs. reality —
comparing the events a container is configured to send against the events GA4
actually reports (zero reported activity for a configured event is a red flag).
These use the same https://www.googleapis.com/auth/analytics.readonly scope
as the GA4 Admin tools, so no extra consent is needed. Enable the Google
Analytics Data API in your Google Cloud project.
Documented gaps (intentionally not exposed rather than faked): pivot reports, cohorts, and funnels.
Pagination
All list tools backed by paginated GTM endpoints (accounts_*-scoped containers,
workspaces, tags, triggers, variables, folders, folder entities, environments,
user permissions, clients, transformations, zones, templates, gtag configs)
auto-follow pagination and return all results by default. Optional arguments:
maxPages— cap the number of API pages fetched (default 50). If more pages remain, the response includes"truncated": trueand anextPageToken.pageToken— resume from a previous truncated result.
Non-truncated responses keep the original { <key>: [...], count } shape unchanged.
Two tools differ, because one list key does not describe what they return:
folders_entitiesreturns three parallel collections (tag,trigger,variable, always present, empty when the folder has none) plus acountsobject, and addstruncated/nextPageTokenonly when the page ceiling was hit.export_containerpages five collections independently, so it takesmaxPages(applied per collection) but nopageToken. A short export is markedincomplete: truewithtruncatedCollections, per-collectionnextPageTokensand awarning— in every format, including the defaultsummary.
Legend: ✏️ requires GTM_MCP_ENABLE_WRITES=true | 🗑️ requires GTM_MCP_ENABLE_DELETES=true | 🚀 requires GTM_MCP_ENABLE_PUBLISH=true
All ✏️ 🗑️ 🚀 tools also require confirm: true in the tool arguments.
Cloud Deployment
Transport
For cloud deployments, use GTM_MCP_TRANSPORT=http. The server exposes:
POST /mcp— Streamable HTTP MCP endpointGET /mcp— SSE stream for existing sessionsDELETE /mcp— Session terminationGET /health— Health check
There is no /oauth/callback route on this server. npm run auth:google runs its own short-lived listener on 127.0.0.1:3001 for the redirect; an unauthenticated callback on the hosted transport could overwrite the server's stored Google credentials, so it was removed.
Connecting Remote Clients
Clients that support Streamable HTTP can connect directly to the /mcp endpoint. For clients that only support stdio (like Claude Desktop), use mcp-remote as a proxy:
Vercel
Limitation: Vercel Serverless Functions have a 10-second timeout (hobby) / 60-second (pro). Stateful SSE sessions require persistent connections which Vercel does not support well. Use Vercel only for stateless MCP interactions. Recommended alternative: Vercel + external session store (Redis/Upstash), or use Render/Fly.io instead.
For Vercel, export the Express app as a serverless handler:
Set env vars in Vercel Dashboard → Settings → Environment Variables.
Render
- Create a new Web Service in Render
- Connect your GitHub repo
- Build command:
npm install && npm run build - Start command:
GTM_MCP_TRANSPORT=http node dist/index.js - Add environment variables in Render Dashboard
- Important: Set
RENDER=trueenv var and ensure your health check hits/health
Render supports persistent long-lived connections — recommended for SSE/streaming.
Fly.io
Fly.io has no request timeout limitations and supports persistent WebSocket/SSE connections. Recommended for production.
Docker
Security Notes
-
Never commit
.env— it contains OAuth tokens..envis already in.gitignore. -
Rotate tokens regularly — OAuth refresh tokens are long-lived but can be revoked. Revoke at myaccount.google.com/permissions.
-
Minimum scopes — If you only need read access, revoke write scopes by removing them from the OAuth consent screen and re-authorizing. The server reads fine with
tagmanager.readonlyonly. -
Cloud deployment: Store secrets in your platform's secret manager (Render Secrets, Fly.io Secrets, Vercel Env Vars), never in code or Docker images.
-
HTTP transport:
/mcphas two built-in auth modes —GTM_MCP_HTTP_AUTH_TOKEN(one shared bearer token, identifies the deployment) andSTYTCH_PROJECT_ID(per-user OAuth, each request resolved to that user's own Google grant). With neither set the transport refuses to start;GTM_MCP_HTTP_ALLOW_UNAUTHENTICATED=trueoverrides that for local development and binds loopback only. -
Publish guard: Keep
GTM_MCP_ENABLE_PUBLISH=falseunless you explicitly intend to publish from an AI client. Publishing incorrect tags to production is the highest-risk operation. -
Audit logs: The server logs all session events to stderr. Pipe to a logging service in production.
Development
Project Structure
Releases
Releases are fully automated via semantic-release and GitHub Actions. Every push to main triggers the release.yml workflow, which:
- Installs dependencies, type-checks, builds, and runs tests.
- Inspects commits since the last tag using the Conventional Commits spec.
- Determines the next semantic version (
MAJOR.MINOR.PATCH). - Updates
CHANGELOG.mdand bumps theversioninpackage.json/package-lock.json. - Commits those files back to
mainwithchore(release): x.y.z [skip ci](the[skip ci]marker prevents an infinite release loop). - Publishes the package to npm as
samarth-gtm-mcpwith a provenance attestation. - Creates a Git tag (
vX.Y.Z) and a GitHub Release with auto-generated notes.
npm publishing uses Trusted Publishing: the job's GitHub OIDC token is exchanged for a short-lived npm token, so there is no npm token secret to rotate. The trusted publisher is configured on npmjs.com (GitHub Actions, this repository, workflow release.yml, no environment). Because main is protected, the release commit is pushed with a RELEASE_TOKEN secret (a fine-grained token of a repo admin with Contents, Issues and Pull requests read/write).
Conventional Commit Examples
Commit messages drive the version bump:
Breaking change examples
or:
Dry run locally
To preview what the next release would look like without publishing:
Manual release skip
To intentionally land a commit without triggering a release, use a non-releasing type (chore:, docs:, etc.) or append [skip ci] to the commit subject.
Troubleshooting
"The caller does not have permission" (403)
- Your Google account may not have access to this GTM account/container
- Service account not added to GTM — see Service Account Limitations
- Check your OAuth scopes on the consent screen
"invalid_grant" or "Token has been expired or revoked"
- Re-run
npm run auth:googleto refresh the token file - Or set
GOOGLE_REFRESH_TOKENdirectly in.envif you prefer env-managed tokens - If you're stuck in a loop where Google won't return a
refresh_token, revoke prior access at myaccount.google.com/permissions and re-run the auth script
"Write operations are disabled"
- Set
GTM_MCP_ENABLE_WRITES=truein your.env - Restart the server / the desktop app
Stdio server shows no output
- The stdio server intentionally writes nothing to stdout (stdout is the JSON-RPC channel)
- Diagnostic output goes to stderr — check your terminal or Claude Desktop logs
Desktop app: Error: Electron uninstall on npm run dev
- The Electron binary downloaded but never finished extracting - see the reliable re-extract fix in apps/desktop/INSTALL.md
TypeScript errors on googleapis types
- Run
npm installto ensure all deps are installed - The
googleapispackage ships its own types — no@types/googleapisneeded
TODOs / Known Limitations
workspace_resolve_conflict: The GTM API's resolve_conflict endpoint accepts a full entity body — the exact request body schema is complex. The current implementation passes through the user-supplied JSON; validate it against the entity type before calling.containers_create: TheusageContextenum values may differ slightly by GTM region/version. Refer to the GTM API docs for the latest allowed values.- Single-identity HTTP auth is a shared secret:
GTM_MCP_HTTP_AUTH_TOKENgates/mcpwith one bearer token for every client, so it identifies the deployment, not the caller. For per-user identity, setSTYTCH_PROJECT_IDto enable multi-user mode — see Security Notes. - HTTP sessions are in-memory: sessions live in the server process, so horizontal scaling requires sticky sessions. Fine for a single team instance; not yet built for multi-instance load balancing.
- Single OAuth identity per deployment — single-identity mode only: without
STYTCH_PROJECT_ID, all requests share one Google identity and therefore one Google API quota pool. Heavy multi-user load through one deployment will exhaust it; retries with backoff soften this but don't remove the quota ceiling. Multi-user mode sidesteps it — each member uses their own Google grant and quota.
Built by Samarth Analytics — Swapnil Jaykar & Sarthak Mandage
Source: README.md at commit 135d609
Tools
0Version history
1- v1.19.0LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts