Teamcity runs on your own machine — the client starts it, so there is no endpoint to ping. 3 443 installs a week from npm. Last commit 28 Oct 2026.
MCP server exposing JetBrains TeamCity CI/CD workflows to AI coding assistants
Today is the operative word: we check Teamcity every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add teamcity -e 'TEAMCITY_URL=<TEAMCITY_URL>' -e 'TEAMCITY_TOKEN=<TEAMCITY_TOKEN>' -- npx -y @daghis/teamcity-mcp
{
"mcpServers": {
"teamcity": {
"command": "npx",
"args": [
"-y",
"@daghis/teamcity-mcp"
],
"env": {
"TEAMCITY_TOKEN": "<TEAMCITY_TOKEN>",
"TEAMCITY_URL": "<TEAMCITY_URL>"
}
}
}
}
[mcp_servers.teamcity]
command = "npx"
args = ["-y", "@daghis/teamcity-mcp"]
env = { TEAMCITY_URL = "<TEAMCITY_URL>", TEAMCITY_TOKEN = "<TEAMCITY_TOKEN>" }
{
"mcpServers": {
"teamcity": {
"command": "npx",
"args": [
"-y",
"@daghis/teamcity-mcp"
],
"env": {
"TEAMCITY_TOKEN": "<TEAMCITY_TOKEN>",
"TEAMCITY_URL": "<TEAMCITY_URL>"
}
}
}
}
{
"servers": {
"teamcity": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@daghis/teamcity-mcp"
],
"env": {
"TEAMCITY_TOKEN": "<TEAMCITY_TOKEN>",
"TEAMCITY_URL": "<TEAMCITY_URL>"
}
}
}
}
Put your own values in place of
<TEAMCITY_URL> (Base URL of your TeamCity server), <TEAMCITY_TOKEN> (TeamCity personal access token with required permissions).
The author’s registry entry marks them as required.
Optional settings from the registry entry, left out of the block above:
MCP_MODE (Operational mode: dev (default) or full for elevated administrative tools).
MCP server for Testkube - Manage test workflows, executions, and artifacts via AI assistants
Official Todoist MCP server for AI assistants to manage tasks, projects, and workflows.
Local MCP server for reliable long-running AI coding workflows.
Connect AI assistants to Stellary projects, boards, documents, and governed agent workflows.
A managed MCP server enabling AI agents to access AWS using docs, API calls, and SOP workflows.
Go code coverage analysis tool with MCP server for AI-powered coverage workflows
Go code coverage analysis tool with MCP server for AI-powered coverage workflows
CLI, MCP server, and AI agent to automate YouTube workflows
Answers built from our own checks of this server.