Zendesk
This Zendesk MCP server, developed as an open-source project, enables AI assistants to interact with Zendesk support systems. It integrates with the Zendesk API to provide tools for retrieving and managing tickets, comments, and Help Center articles. Built with Python and leveraging the MCP library, it offers a standardized interface for Zendesk operations, abstracting complexities of API interactions. The server implements specialized prompts for ticket analysis and response drafting. It's particularly useful for customer support teams and AI developers looking to incorporate automated Zendesk interactions into their workflows, enabling use cases like intelligent ticket routing, automated response generation, and knowledge base integration.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/reminia/zendesk-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Zendesk from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.