tokenless-zendesk-mcp
MCP server that authenticates via browser session cookies to access Zendesk's REST API without API tokens, supporting reads and writes with agent permissions.
README
Tokenless Zendesk MCP Server
An MCP server for Zendesk. You sign in once in a real browser (Playwright) — any method works, including SSO and 2FA — and the resulting session cookies are then used to call the Zendesk REST API directly. No API token, OAuth client, or admin setup required: it acts with exactly your agent account's permissions.
This is the same way Zendesk's own agent web UI talks to its API — a valid session
cookie is all a GET request needs (no CSRF token is required for reads).
What it can do
Reads
| Tool | Description |
|---|---|
zendesk_login |
Open a visible browser to sign in (password / SSO / 2FA). Saves the session cookies + CSRF token. |
zendesk_session_status |
Check whether a saved session exists and is still valid (calls the API as the current user). |
zendesk_list_views |
List the agent's active views with numeric IDs, titles, and cached ticket counts. |
zendesk_fetch_view_tickets |
Fetch tickets in a view, following pagination (limit caps the count). |
zendesk_search |
Search via /api/v2/search — any Zendesk query string; returns results tagged by type. |
zendesk_get_ticket |
Subject, status, parties, tags, custom fields (incl. product), full comment thread, and attachments. |
zendesk_download_attachment |
Download an attachment (by its content_url from get_ticket) to a path or directory. |
zendesk_requester_tickets |
List the tickets a user has requested (their history) — "have they reported this before?". |
zendesk_organization_tickets |
List tickets belonging to an organization. |
zendesk_ticket_fields |
Field definitions with valid dropdown/tagger option values — look up the value to set a custom field. |
zendesk_ticket_metrics |
SLA / timing metrics for a ticket (reply time, resolution time, reopens, replies). |
zendesk_list_macros |
List active macros with ids and titles (for zendesk_apply_macro). |
zendesk_search_users |
Find users by free-text (name, email, …). |
zendesk_get_user |
Fetch one user by id. |
zendesk_ticket_audits |
Full audit trail (every change/event) for a ticket. |
zendesk_request |
Read-only passthrough to any /api/v2 endpoint — for anything the dedicated tools don't cover. |
Writes (require the CSRF token — see Writes below)
| Tool | Description |
|---|---|
zendesk_add_comment |
Add a public reply or internal note to a ticket. |
zendesk_update_ticket |
Set status, priority, type, assignee, group, tags, and custom fields (optionally with a comment). |
zendesk_apply_macro |
Apply a macro and persist its changes (status/fields/comment) to a ticket. |
Attachments. zendesk_get_ticket returns an attachments array; each item has
an id, file_name, content_url, content_type, and size. Pass an attachment's
content_url to zendesk_download_attachment along with a destination (a file
path, or a directory to save under the original filename). Downloads use the
authenticated session, so private attachments work.
zendesk_request unlocks the rest of the Zendesk REST
API for reads — e.g.
tickets/123/audits, ticket_metrics, organizations, users/123,
satisfaction_ratings. It is GET-only by design (write operations would require a
CSRF token, which is out of scope).
How auth works
You sign in once in a real browser window. Playwright saves the resulting
cookies to ~/.zendesk-mcp/storageState.json. Every other tool reads the cookies
scoped to your instance and replays them as a Cookie header against
https://{subdomain}.zendesk.com/api/v2/…. When the session expires the API
returns 401/403 and the tool returns a clear "run zendesk_login" message.
The session file holds live auth cookies — it's git-ignored. Treat it like a password.
Writes (CSRF)
GET requests authenticate with the session cookie alone. Write requests
(POST/PUT/DELETE) additionally require Zendesk's CSRF token — the same
one the agent UI uses. It's captured at login (from the agent page's
<meta name="csrf-token">) and saved to ~/.zendesk-mcp/csrf.txt. The token is
stable for the life of the session; if it ever goes stale, the server fetches a
fresh one automatically and retries the write once. The write tools
(zendesk_add_comment, zendesk_update_ticket, zendesk_apply_macro) modify
real tickets — confirm changes with the user before sending.
Add to Claude Code
No clone, no build — just point your MCP config at npx. Add to your .mcp.json
(or Claude Desktop config), replacing youracme with your Zendesk subdomain:
{
"mcpServers": {
"zendesk": {
"command": "npx",
"args": ["-y", "tokenless-zendesk-mcp"],
"env": {
"ZENDESK_SUBDOMAIN": "youracme"
}
}
}
}
Or with the CLI: claude mcp add zendesk -e ZENDESK_SUBDOMAIN=youracme -- npx -y tokenless-zendesk-mcp
First login
You sign in once in a real browser window. Run the bundled login subcommand
(it downloads Chromium on first use, then opens the window):
ZENDESK_SUBDOMAIN=youracme npx -y tokenless-zendesk-mcp login
- macOS / Windows / Linux desktop: a Chromium window opens — sign in, done.
- WSL2: you need WSLg (Windows 11) or an X server so the window can show.
If the window can't open, run the login on the Windows host, or set
DISPLAY.
You can also trigger login from inside Claude with the zendesk_login tool, but
the standalone command is more reliable since not every MCP host surfaces the window.
From source (contributors)
npm install
npm run build
ZENDESK_SUBDOMAIN=youracme npm run login # one-time browser sign-in
Then point your MCP config at the build instead of npx:
{
"mcpServers": {
"zendesk": {
"command": "node",
"args": ["/path/to/tokenless-zendesk-mcp/dist/index.js"],
"env": { "ZENDESK_SUBDOMAIN": "youracme" }
}
}
}
See CONTRIBUTING.md for the release process and how publishing is configured.
Configuration (env vars)
| Var | Default | Purpose |
|---|---|---|
ZENDESK_SUBDOMAIN |
— (required) | The {subdomain} in https://{subdomain}.zendesk.com. |
ZENDESK_SESSION_DIR |
~/.zendesk-mcp |
Where the saved session lives. |
ZENDESK_API_TIMEOUT |
30000 |
Per-request timeout in ms. |
ZENDESK_LOGIN_TIMEOUT |
300000 |
How long the login window waits for you to finish signing in, in ms. |
Verify
After building and logging in:
ZENDESK_SUBDOMAIN=youracme node scripts/verify.mjs
It calls me, listViews, search, and getTicket against your live instance.
Notes & limitations
- Auth is session-cookie based. Cookies expire (and SSO sessions time out), so
you'll re-run
zendesk_loginperiodically. - It respects whatever permissions your agent account has — nothing more.
- The API is paginated; list tools cap results (
limit) and page 100 at a time. Rate-limited (429) responses are retried honoringRetry-After. - Writes are supported via the session CSRF token (see Writes). They act with your agent permissions — review changes before sending.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.