Zendesk Help Center MCP Server
@hidechae
About Zendesk Help Center MCP Server
No overview available yet
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Zendesk Help Center MCP Server?
A Model Context Protocol (MCP) server that interfaces with the Zendesk Help Center API, enabling integration with Claude Desktop and other MCP-compatible clients for searching and retrieving Zendesk articles.
How to use Zendesk Help Center MCP Server?
Install Node.js v18+, clone the repository, install dependencies, create a .env file with your Zendesk subdomain, email, and API token, then build and run with npm run build and npm start. Alternatively, add the server to Claude Desktop's mcpServers configuration using npx and environment variables.
Key features of Zendesk Help Center MCP Server
- Article Search – search articles by keyword with optional locale, pagination, and page size
- Article Details – retrieve full details of a specific article by ID
- Claude Desktop integration – configured via the MCP settings file
- TypeScript implementation – follows the Model Context Protocol specification
Use cases of Zendesk Help Center MCP Server
- Let an AI assistant find knowledge base articles from your Zendesk Help Center
- Retrieve specific article details for inline reference during a conversation
- Automate help desk responses by querying your Zendesk content
FAQ from Zendesk Help Center MCP Server
What does this server do vs alternatives?
It provides a direct MCP interface to the Zendesk Help Center API, allowing search and retrieval of articles within AI tools like Claude Desktop.
What are the runtime requirements?
Node.js v18 or higher, a Zendesk account with API access, and a Zendesk API token.
How are credentials provided?
Via a .env file in the root directory or as environment variables in the Claude Desktop configuration (ZENDESK_SUBDOMAIN, ZENDESK_EMAIL, ZENDESK_API_TOKEN).
Are there any usage limits?
The per_page parameter for article search has a maximum of 100 results per page. No other limits are mentioned.
What transport does this server use?
It runs on standard input/output (stdio), making it compatible with any MCP client that supports stdio transport.
Frequently asked questions
What does this server do vs alternatives?
It provides a direct MCP interface to the Zendesk Help Center API, allowing search and retrieval of articles within AI tools like Claude Desktop.
What are the runtime requirements?
Node.js v18 or higher, a Zendesk account with API access, and a Zendesk API token.
How are credentials provided?
Via a `.env` file in the root directory or as environment variables in the Claude Desktop configuration (ZENDESK_SUBDOMAIN, ZENDESK_EMAIL, ZENDESK_API_TOKEN).
Are there any usage limits?
The `per_page` parameter for article search has a maximum of 100 results per page. No other limits are mentioned.
What transport does this server use?
It runs on standard input/output (stdio), making it compatible with any MCP client that supports stdio transport.
Basic information
More Data & Analytics MCP servers
PubMed Analysis MCP Server
DarkroasterA PubMed MCP server.
MCP From Zero: Quick Data
dislerPrompt focused MCP Server for .json and .csv agentic data analytics for Claude Code
mcp-simple-arxiv
andybrandtTool to work with arXiv, provide LLM with ability to search and read papers from there

Rankbits
rankbitsAI visibility analytics across 15+ providers (ChatGPT, Perplexity, Gemini, AI Overviews, and more). The MCP connector lets assistants run scans, compare competitor mentions, and track your brand's visibility in AI answer
Google Analytics MCP Server
surendranbGoogle Analytics 4 data to AI agents, agentic workflows, and MCP clients. Give agents analysis-ready access to website traffic, user behavior, and performance data with schema discovery, server-side aggregation, and safe defaults that reduce data wrangling.
Comments