Daghis/teamcity-mcp
by Various
Model Context Protocol (MCP) server for JetBrains TeamCity: control builds, tests, agents and configs from AI coding assistants.
MCP
Daghis/teamcity-mcp
Added 1 June 2026
Overview
Teamcity-mcp is an open-source Model Context Protocol server for JetBrains TeamCity, written in TypeScript. It allows AI coding assistants to trigger builds, inspect test results, manage agents, and modify project configurations through the MCP interface.
Best for
Best for
Developers and teams using JetBrains TeamCity who want to control CI/CD workflows through AI assistants
Use cases
- Trigger TeamCity builds from a chat or IDE assistant
- Query build status and test outcomes in real time
- Update build configuration parameters via natural language
How to use
Install
npx -y @daghis/teamcity-mcp Tested with
Claude Code, Cursor, Windsurf
Example client config
{\n "mcpServers": {\n "teamcity": {\n "command": "npx",\n "args": [\n "-y",\n "@daghis/teamcity-mcp",\n "--url",\n "https://teamcity.example.com",\n "--token",\n "YOUR_TOKEN"\n ]\n }\n }\n} Notes
Teamcity-mcp is an open-source Model Context Protocol server for JetBrains TeamCity, written in TypeScript. It allows AI coding assistants to trigger builds, inspect test results, manage agents, and modify project configurations through the MCP interface.
25 stars on GitHub. Last updated 2026-06-01. Licensed MIT.
Use cases
- Trigger TeamCity builds from a chat or IDE assistant
- Query build status and test outcomes in real time
- Update build configuration parameters via natural language
Pros
- Lightweight TypeScript implementation with clear MCP compliance
- Enables TeamCity automation directly from AI coding assistants
- Open source with permissive license for customization
Cons
- Small community (25 GitHub stars) means limited support and contributions
- Requires self-hosting and exposing the TeamCity API to the MCP server
- Depends on the evolving MCP ecosystem, which may introduce breaking changes
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Lightweight TypeScript implementation with clear MCP compliance
- Enables TeamCity automation directly from AI coding assistants
- Open source with permissive license for customization
Cons
- Small community (25 GitHub stars) means limited support and contributions
- Requires self-hosting and exposing the TeamCity API to the MCP server
- Depends on the evolving MCP ecosystem, which may introduce breaking changes
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