# TeamCity

> Use this tool when you need to automate and streamline your development workflow by integrating AI coding assistants with JetBrains TeamCity, solving problems such as manual build triggering and test failure analysis. It takes in inputs like build configurations and VCS roots, and outputs logs and test results, allowing for efficient monitoring and management. Ideal for use in continuous integration and continuous deployment (CI/CD) pipelines, it enables developers to focus on coding while automating repetitive tasks.

Canonical page: https://skillsregistry.net/skills/daghis-teamcity  
JSON: https://api.skillsregistry.net/v1/skills/daghis-teamcity

## Description

Bridges JetBrains TeamCity with AI coding assistants, enabling build triggering, monitoring, log retrieval, and test failure analysis. Supports two operational modes: dev mode for safe read operations and full mode for administrative capabilities including build configuration management, VCS roots, and trigger setup.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/daghis-teamcity)
- **Repository:** <https://github.com/daghis/teamcity-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": "daghis-teamcity"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/daghis-teamcity` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/daghis-teamcity/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