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Zendesk Help Center Server

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Enables AI agents to browse, search, and fetch documentation from any public Zendesk Help Center via a read-only API.

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About

Enables AI agents to browse, search, and fetch documentation from any public Zendesk Help Center via a read-only API.

README

A read-only MCP (Model Context Protocol) server for querying public Zendesk Help Center APIs. Lets AI agents browse, search, and fetch documentation from any public Zendesk Help Center.

Features

  • Browse Help Center structure (categories, sections, articles)
  • Fetch article content as clean markdown
  • Search articles by keyword
  • Browse community posts and comments
  • Locale-aware (filter by language)
  • HTTP response caching (7-day TTL via hishel)
  • Works with any public Zendesk Help Center (no auth required)

Installation

Requires Python 3.10+.

git clone <repo-url>
cd zendesk
uv sync

Or with pip:

pip install -e .

Configuration

Claude Code

Add a .mcp.json file to your project root (or any project that needs Zendesk HC access):

{
  "mcpServers": {
    "zendesk-hc": {
      "command": "uv",
      "args": ["--directory", "/path/to/zendesk-hc-mcp", "run", "zendesk-hc-mcp"]
    }
  }
}

Replace /path/to/zendesk-hc-mcp with the absolute path to where you cloned this repo. Do not use ~ — tilde expansion does not work in MCP config.

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "zendesk-hc": {
      "command": "uv",
      "args": ["--directory", "/path/to/zendesk-hc-mcp", "run", "zendesk-hc-mcp"]
    }
  }
}

Note: uv must be on PATH for the MCP host process to find it.

Available Tools

All tools take subdomain as the first parameter (e.g., "support.zendesk.com"). All tools accept force_refresh=True to bypass the cache. Most tools accept an optional locale parameter (e.g., "en-us", "ru") to filter by language.

Structure Browsing

Tool Description
list_categories(subdomain, locale?) Entry point: shows locales, categories, and section counts
list_sections(subdomain, category_id?, locale?) Sections, optionally filtered by category

Content Retrieval

Tool Description
get_article(subdomain, article_id) Single article with full markdown body
get_articles(subdomain, article_ids) Batch fetch multiple articles concurrently
get_section_articles(subdomain, section_id, locale?, include_body?, max_articles?) TOC by default; set include_body=True for full text
search_articles(subdomain, query, locale?, limit?) Keyword search with snippets (no bodies)

Community

Tool Description
list_community_topics(subdomain) Forum topics
list_community_posts(subdomain, topic_id?, limit?) Posts with body previews and comment counts
get_community_post(subdomain, post_id) Full post with comments

Usage Examples

Discover a Help Center's structure:

list_categories("support.zendesk.com")

Browse sections in a category:

list_sections("support.zendesk.com", category_id=360001006608)

Fetch all articles in a section (TOC only):

get_section_articles("support.zendesk.com", section_id=360000031847)

Fetch articles with full content:

get_section_articles("support.zendesk.com", section_id=360000031847, include_body=True, max_articles=5)

Search for articles:

search_articles("support.zendesk.com", query="API")

Cache

Responses are cached for 7 days in .cache/ (project-local) using hishel (SQLite-backed HTTP cache).

  • Use force_refresh=True on any tool to bypass the cache
  • Delete the .cache/ directory to clear all cached data
  • The .cache/ directory is gitignored

Override the default TTL (in seconds) with the ZENDESK_HC_CACHE_TTL environment variable in your .mcp.json:

{
  "mcpServers": {
    "zendesk-hc": {
      "command": "uv",
      "args": ["--directory", "/path/to/zendesk-hc-mcp", "run", "zendesk-hc-mcp"],
      "env": {
        "ZENDESK_HC_CACHE_TTL": "86400"
      }
    }
  }
}

Development

# Install dev dependencies
uv sync

# Run tests
uv run pytest -v

# Run the server (stdio mode)
uv run zendesk-hc-mcp

Contributing

Contributions are welcome! To get started:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/my-feature)
  3. Install dev dependencies: uv sync
  4. Make your changes following TDD (write tests first)
  5. Run the test suite: uv run pytest -v
  6. Ensure coverage stays above 90%: uv run pytest --cov=zendesk_hc_mcp --cov-report=term-missing
  7. Submit a pull request

See CLAUDE.md for architecture details and development conventions.

Disclaimer

This project is not affiliated with, endorsed by, or sponsored by Zendesk, Inc. "Zendesk" is a registered trademark of Zendesk, Inc. This tool accesses the publicly available Zendesk Help Center API and is intended for lawful, read-only use.

License

MIT

from github.com/gschaer/zendesk-hc-mcp

Installing Zendesk Help Center Server

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/gschaer/zendesk-hc-mcp

FAQ

Is Zendesk Help Center Server MCP free?

Yes, Zendesk Help Center Server MCP is free — one-click install via Unyly at no cost.

Does Zendesk Help Center Server need an API key?

No, Zendesk Help Center Server runs without API keys or environment variables.

Is Zendesk Help Center Server hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install Zendesk Help Center Server in Claude Desktop, Claude Code or Cursor?

Open Zendesk Help Center Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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