# Zentao MCP Server

> Use this tool when you need to manage and interact with Zentao project data through natural language, solving problems such as streamlining bug tracking and test case management. It takes natural language inputs and outputs Zentao data entities, including bugs, requirements, and test cases. Ideal for use cases where AI assistants need to query, create, or update Zentao data, such as project management and software development workflows.

Canonical page: https://skillsregistry.net/skills/tytt-zentao-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tytt-zentao-mcp

## Description

Enables AI assistants to manage Zentao bugs, requirements, and test cases through natural language interactions. It supports querying, creating, and updating various Zentao data entities including products, projects, and executions.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/di4zjg4ekc)
- **Repository:** <https://github.com/Tytt/zentao-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tytt-zentao-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tytt-zentao-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tytt-zentao-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt