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MCP server

io.github.fruggr/zendesk-mcp-server

Draft, translate and update Help Center articles and manage Zendesk tickets from your AI assistant.

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https://github.com/fruggr/zendesk-mcp-server

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ZENDESK_SUBDOMAIN

Install
npx -y @fruggr/zendesk-mcp-server

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Republished in full under its license, with attribution. The source is authoritative.

Zendesk MCP Server

A Model Context Protocol (MCP) server that

puts Zendesk inside your AI assistant, for both sides of the conversation.

For agents: it finds answers in the Help Center; drafts, updates and

translates articles while keeping the languages in sync; and handles Support

tickets end to end, comments, triage and image attachments included.

For your customers: it opens the same door the Help Center's "Submit a

request" form does. They pick the kind of request, get walked through the

questions that form actually asks, attach a screenshot, then follow the

ticket — read the replies, answer back, close it when it's resolved. See

[End-user mode](#end-user-mode).

It all happens in plain language, without switching apps.

It does roughly what the

Zendesk agent for Microsoft 365 Copilot

does, minus the tie to one vendor: it drops into any MCP client (Claude Desktop,

Claude Code, Cursor, VS Code, and the rest). And it always acts with each user's

own Zendesk permissions, never a shared admin key.

What your assistant can do

Ask in natural language; the assistant works out the context and the intent,

then calls the right tools on your behalf.

  • Find answers in the Help Center. "How do I request a software license?" or

"what's the time-off policy?" surfaces the right article, matched by meaning

rather than by keyword.

  • Create, view and update tickets without leaving the conversation: open a

ticket, check its status, add a public reply or an internal note, change the

priority or the assignee, mark it solved.

  • Summarize a ticket for a report or a quick decision. The assistant pulls the

details and the full comment thread and gives you the gist in a sentence.

  • Read the screenshots and photos attached to a ticket. Error dialogs, UI

captures and product photos are handed to your assistant's own model as

images, so it can describe them or act on what they show.

  • Search and triage your queue in plain language: "show me my open tickets about

billing from this week."

  • Draft and maintain knowledge-base articles. You can write a new one, or revise

a large one a single section at a time, so the whole HTML body never has to

round-trip through the model.

  • Submit and follow a request as a customer, not an agent. Choose between the

kinds of request the vendor offers, answer only the questions that form asks,

and then track it: what was replied, what you replied, and whether it's done.

Why this server

Most Zendesk integrations run on a shared admin API key, which hands every user

full access to every ticket, and bolt on a fixed set of tools. This one is built

differently.

  • Per-user authentication, OAuth only. Both transports use OAuth 2.1 PKCE: each

user signs in with their own Zendesk credentials, so the assistant sees and

touches exactly what that person is allowed to, the same scoping you get by

signing into Zendesk directly. Static API tokens are deliberately not

supported ([why](#what-this-server-does-not-do)).

  • Two audiences, one server. Because auth is per-user rather than a shared admin

key, the same install serves your agents and your customers — the end-user

surface is a namespace you switch on, speaking the API path Zendesk reserves

for requesters. Most Zendesk MCP servers are agent-only by construction.

  • Section-based article editing. For large Help Center articles, read and

rewrite one section at a time (parsed by h1/h2/h3 headings) instead of

shuffling the full HTML body through the assistant. On a targeted edit that

cuts tokens by a factor of 10 to 100.

  • Native multimodal attachments. Ticket images come back as native MCP image

content, so the client's own model (Claude, GPT, Gemini, whichever) sees the

pixels directly. No server-side vision model, no extra API key, and nothing

tying you to one provider. Non-image attachments come back as text references,

and both image caps are configurable.

  • A tool surface you can cap. Expose every operation as its own tool, group them

into namespace proxies, or collapse everything into a single unified tool. You

can also filter by namespace or down to read-only operations, so each context

loads only the surface it needs (see [Tool surface](#tool-surface)).

  • Two deployment shapes, same auth story. Run it on your laptop as a stdio MCP

server, or deploy it as a private remote MCP server reached over HTTP, with one

Zendesk session per request and each client carrying its own user's token.

  • A lean stack: the official MCP TypeScript SDK (@modelcontextprotocol/server) plus zod, speaking to

the Zendesk Support and Help Center (Guide) APIs.

Look elsewhere when:

  • You need Zendesk products outside Support and Guide (Talk, Explore analytics,

Sell). Those endpoints aren't covered.

  • You need a single shared service account, or static API-token auth. This

server supports neither, by design (see below).

What this server does *not* do

There is no API-token authentication. The server speaks OAuth 2.1 PKCE and

nothing else: no ZENDESK_EMAIL + ZENDESK_API_TOKEN (Basic auth) mode, in any

transport. That is deliberate, for two reasons.

  1. API tokens are insufficiently secure. A Zendesk API token is a

long-lived, static, shared secret that carries the full rights of the user

who issued it. There is no per-user scoping, no short expiry, and no per-user

consent or revocation. OAuth 2.1 PKCE issues per-user, revocable tokens

instead.

  1. API tokens don't scale. A single static credential can't attribute

actions to individual users, and it can't be revoked granularly. It also

makes a multi-user remote deployment unsafe: over HTTP it would expose the

issuing user's rights to every caller.

If you specifically need an API-token or service-account mode (headless CI with

a shared account, say), use one of the other Zendesk MCP servers that support

it. A few are listed under

[Inspiration & related projects](#inspiration--related-projects).

Quick start: local (stdio)

The default shape: one developer, one Zendesk account, OAuth 2.1 PKCE in the

browser. You need Node.js >= 22 and a Zendesk instance (Support or

Suite).

Install

# Run without installing
npx -y @fruggr/zendesk-mcp-server <your-subdomain>

# Or install globally
npm install -g @fruggr/zendesk-mcp-server
zendesk-mcp-server <your-subdomain>

Signing in needs a Zendesk OAuth client, so register one first (next section).

Zendesk OAuth setup

  1. Go to Admin Center → Apps and integrations → APIs → OAuth Clients
  2. Create a public client:
  • Identifier: <your-subdomain>_zendesk (or set ZENDESK_OAUTH_CLIENT_ID)
  • Redirect URL: http://localhost:27439/callback (change the port to match

OAUTH_CALLBACK_PORT / --callback-port if you override it; Zendesk

accepts several redirect URLs, one per line)

If the client restricts its allowed scopes, it needs read — plus write

unless the server runs with [--read-only](docs/configuration.md), which asks

Zendesk for the read scope alone.

On the first tool call the server starts the sign-in flow: it opens a browser

window and returns the authorize URL in a tool message. The call does not block

waiting for sign-in, so authenticate in the browser and then retry the request.

The token is persisted to an owner-only file and reused across restarts, so you

don't authenticate again every time your MCP client respawns the server (path

and overrides: [OAUTH_TOKEN_FILE](docs/configuration.md#oauth_token_file)).

Several instances can run side by side — a read-write one and a --read-only

one, say — without trading credentials.

MCP client wiring

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "zendesk": {
      "command": "npx",
      "args": ["-y", "@fruggr/zendesk-mcp-server", "<your-subdomain>", "--mode", "single"]
    }
  }
}

Claude Code

claude mcp add zendesk -- npx -y @fruggr/zendesk-mcp-server <your-subdomain> --mode single

VS Code (Copilot / Continue / Cline)

Add to your .vscode/mcp.json:

{
  "servers": {
    "zendesk": {
      "command": "npx",
      "args": ["-y", "@fruggr/zendesk-mcp-server", "<your-subdomain>", "--mode", "single"]
    }
  }
}

Something not working? See [Troubleshooting](docs/troubleshooting.md).

Quick start: remote (HTTP)

> Experimental. The HTTP transport ships, but it has not yet been exercised

> end-to-end against a real Zendesk tenant from every MCP client. Local stdio is

> the supported path.

You can also deploy a private remote MCP server for one Zendesk account.

It is its own OAuth authorization server: web clients such as claude.ai and

ChatGPT add it by URL and register themselves, each user signs in to Zendesk

through it, and no shared admin key or per-client Zendesk setup is involved. Each

release also ships a hardened, distroless container image for it

(ghcr.io/fruggr/zendesk-mcp-server), signed and attested. The full guide covers

the image, the one redirect URL to add to your Zendesk OAuth client, the

master secret and grant store, --public-url behind a reverse proxy, trusted

clients, MCP client wiring, CORS and what stays the operator's job:

[docs/http-deployment.md](docs/http-deployment.md).

Tool surface

Tools are grouped into namespaces: Tickets, Help Center, **Users &

Organizations, Search, and Requests** — the end-user surface, which is

opt-in and covered under [End-user mode](#end-user-mode). The server registers

them in one of three modes, so you can trade granularity against context budget:

  • all: every operation as its own tool, for clients with good tool selection;
  • namespace (default): one proxy tool per namespace, a balanced middle ground;
  • single: a single zendesk tool, for models with limited tool slots.

Proxies take { "operation": "<tool_name>", "params": { … } } and validate

params through the original schema. --namespace, --tool and --read-only

filter tools *before* the proxies are built, so each proxy describes only the

operations that survive.

There's one way to pick the inventory (--namespace / --tool), --mode

packages it, and --read-only narrows it. When the combination isn't obvious,

don't guess — --print-tools has the server answer what it would expose, with

no credentials needed.

Every tool with its description and its read/write mode:

[docs/mcp-tools-reference.md](docs/mcp-tools-reference.md). The flags and

worked examples: [docs/configuration.md](docs/configuration.md).

End-user mode

The audience for everything above is a Zendesk agent. This section is about

the other one: your customers.

On the web, a customer opens a ticket through the Help Center's "Submit a

request" form — they pick a kind of request, fill in the fields that kind asks

for, attach a file, and later come back to read the replies. End-user mode is

that same journey, in their assistant.

Who it's for

A vendor pointing their customers at an MCP server, so support happens where

those customers already work. They install it themselves, sign in with their

own Help Center account, and never see anything that isn't theirs.

Turning it on

The end-user tools live in the requests namespace, and it is opt-in: an

agent install shouldn't inherit tools built for someone else, and one of them

(marking a request solved) doesn't work under an agent token at all — Zendesk

accepts it and silently does nothing. help_center is worth serving alongside

it, since a customer who can search the knowledge base often doesn't need to

open a ticket in the first place.

The flags, and how to have the server print what a combination exposes:

[docs/configuration.md](docs/configuration.md).

The journey it supports

  • See what kinds of request are available. The forms the vendor offers, by

their customer-facing names.

  • Learn what one of them asks. The questions on that form, which are

required, and for dropdowns the exact choices — so the assistant can gather

them in conversation instead of guessing at a payload.

  • Submit it, with attachments.
  • Follow it. List their requests, read one with its whole conversation

(each reply attributed, and support agents marked as such), reply back, and

mark it solved when it is.

What it asks of the Zendesk account

Nothing the agent side doesn't already need, plus one thing: at least one

ticket form marked visible to end users, because that is what a customer picks

between. Sign-in is interactive, through a browser, by design — there is no

scripted or headless path to an end-user token, which is the same protection

that stops anyone else signing in as your customer.

The prerequisites in full: [docs/configuration.md](docs/configuration.md).

The step-by-step walkthrough, written for someone who doesn't work in a

terminal: [docs/end-user-onboarding.md](docs/end-user-onboarding.md).

What a customer can't do — and shouldn't

A customer can do less than an agent. That's the point, not a gap:

  • Only their own tickets. Enforced by Zendesk, not by us.
  • No internal notes, in either direction. Agent-only notes never appear in

what this surface returns — Zendesk filters them out of the requester's view

of a ticket entirely.

  • No priority or type. Zendesk drops both when a customer sets them;

triage stays with the agents.

  • Closing a ticket only once an agent has picked it up. Until then Zendesk

won't let the requester solve it, so the tool says so rather than pretending.

  • No search across the ticket base, no user lookups, no views, no macros.

Help Center context

Beyond tools, the server hands the LLM the structure of *your* Help Center: the

active locales, the category → section tree with IDs, the visibility segments

and the permission groups. With those in hand it uses real IDs instead of

guessing or fuzzy-matching names. It all arrives through MCP-native channels,

namely the instructions blob sent on initialize plus pull-only resources for

the topology and for reading (or pinning) individual articles. The resources are

fetched with the caller's own token, and clients that don't support resources

ignore them silently.

What's exposed, what the promoted-article pre-listing costs in requests, and how

to turn each piece off: [docs/help-center-context.md](docs/help-center-context.md).

Configuration

The complete reference for the CLI flags (--mode, --namespace,

--read-only, --transport, --public-url, and so on) and the environment

variables (ZENDESK_SUBDOMAIN, OAUTH_TOKEN_FILE, PUBLIC_URL, the

attachment-vision caps) lives in

[docs/configuration.md](docs/configuration.md). Every variable has its own

anchor, so you can deep-link a specific setting.

Troubleshooting

Browser not opening during OAuth login, the callback port already in use, having

to re-authenticate every time, and Permission denied on the Guide-admin

endpoints are covered in [docs/troubleshooting.md](docs/troubleshooting.md).

Restart with LOG_LEVEL=debug for the full OAuth flow trace.

Development

Setting up the repo, the toolchain, dev mode and how to test a PR branch are

covered in [CONTRIBUTING.md](CONTRIBUTING.md#development-setup). Architecture

and code-style conventions live in [AGENTS.md](AGENTS.md).

FAQ

Which Zendesk products are supported?

Zendesk Support (tickets, users, organizations) and the Help Center / Guide

(articles, sections, categories, translations, labels, content tags, segments,

attachments). Talk, Explore and Sell are out of scope.

Do I need a Zendesk admin API key?

No, and the server doesn't support one. Each user authenticates with their own

credentials and the server acts with exactly their permissions

([why](#what-this-server-does-not-do)).

Is it safe to run via npx?

Releases are published from CI via npm Trusted Publishing (OIDC), so each version

carries a build provenance attestation you can verify on its

npm page. No secrets

are ever logged by the server.

Contributing

Pull requests are welcome, AI-assisted ones included, as long as the human

author has read and validated every line. The guide, the author checklist and the

review workflow are in [CONTRIBUTING.md](CONTRIBUTING.md).

Versions follow SemVer and are released automatically from

Conventional Commits; the history is in

[CHANGELOG.md](CHANGELOG.md).

Inspiration & related projects

This project was built with reference to:

License

[MIT](LICENSE)


> Built and maintained by Digital4better for the Fruggr project.

DescriptionDraft, translate and update Help Center articles and manage Zendesk tickets from your AI assistant.
Version3.3.1
Packagesnpm · @fruggr/zendesk-mcp-server@3.3.1 · stdio
Environment variablesZENDESK_SUBDOMAIN
Zendesk subdomain, used when no positional subdomain argument is given.
Websitehttps://github.com/fruggr/zendesk-mcp-server#readme

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