Zendesk Help Center MCP Server

Zendesk Help Center MCP Server

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

Category
访问服务器

README

Zendesk Help Center MCP Server

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

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