io.github.Daghis/teamcity
Quality Score
90
/100
MCP server exposing JetBrains TeamCity CI/CD workflows to AI coding assistants
§01 Install
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"teamcity": {
"command": "npx",
"args": [
"-y",
"@daghis/teamcity-mcp"
],
"env": {
"TEAMCITY_URL": "<teamcity_url>",
"TEAMCITY_TOKEN": "<your-teamcity_token>",
"MCP_MODE": "dev"
}
}
}
}Cursor (.cursor/mcp.json)
{
"mcpServers": {
"teamcity": {
"command": "npx",
"args": [
"-y",
"@daghis/teamcity-mcp"
],
"env": {
"TEAMCITY_URL": "<teamcity_url>",
"TEAMCITY_TOKEN": "<your-teamcity_token>",
"MCP_MODE": "dev"
}
}
}
}Cline (cline_mcp_settings.json)
npx -y @daghis/teamcity-mcp§02 Environment variables
TEAMCITY_URLrequired
Base URL of your TeamCity server
TEAMCITY_TOKENrequiredsecret
TeamCity personal access token with required permissions
MCP_MODEOperational mode: dev (default) or full for elevated administrative tools
§03 MCP Quality Score · methodology
freshness
25
completeness
15
installability
25
documentation
15
stability
10
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