io.github.Daghis/teamcity MCP Server
io.github.Daghis/teamcity
Connect AI coding assistants to JetBrains TeamCity CI/CD with 87 MCP tools for build management, testing, and infrastructure.
What is the io.github.Daghis/teamcity MCP server?
The TeamCity MCP Server is a Model Control Protocol bridge that exposes JetBrains TeamCity CI/CD operations as MCP tools for AI coding assistants like Claude, Cursor, and Windsurf. It offers two modes: Dev (31 safe tools for triggering builds, monitoring status, and fetching logs) and Full (87 tools including configuration management, agent control, and server administration).
This MCP server lets you interact with TeamCity directly from your AI coding assistant. Trigger builds, monitor test failures, fetch logs, and inspect build problems without leaving your editor. Dev mode provides safe read-heavy operations (~14k tokens); Full mode adds write and management capabilities (~26k tokens). Token-based authentication, redacted logs, and runtime mode switching keep workflows secure and flexible.
How to install io.github.Daghis/teamcity
Copy-paste configuration for popular MCP clients.
TEAMCITY_URLrequiredBase URL of your TeamCity server
TEAMCITY_TOKENrequiredsecretTeamCity personal access token with required permissions
MCP_MODEOperational mode: dev (default) or full for elevated administrative tools
Tools & capabilities
Tools this server exposes to the agent.
TriggerBuild— Queue a new build with optional branch and parametersGetBuildStatus— Check build progress and current stateFetchBuildLog— Retrieve build logs for inspectionListBuilds— Search builds by criteria with paginationListTestFailures— Get failing tests from a buildGetTestDetails— Detailed test information and failure reasonsAnalyzeBuildProblems— Identify failure reasons and problem detailsListProjects— List TeamCity projectsListBuildConfigurations— List build configurations in a projectGetBuildQueue— View queued buildscreate_build_config— Create new TeamCity build configurations with VCS roots, build steps, triggers, and parameters (Full mode)clone_build_config— Duplicate existing build configurations into any project (Full mode)update_build_config— Adjust names, descriptions, artifact rules, and pause state (Full mode)manage_build_steps— Add, update, remove, or reorder build steps (Full mode)manage_build_triggers— Add or delete build triggers with full property support (Full mode)create_vcs_root— Define VCS roots for Git, SVN, Perforce with authentication (Full mode)add_vcs_root_to_build— Attach VCS roots to build configurations (Full mode)get_mcp_mode— Get current operational mode (Dev or Full)set_mcp_mode— Switch between Dev and Full modes at runtime without restart
Use cases
- Trigger builds and monitor test failures directly from your coding assistant without switching context
- Diagnose build failures by fetching logs and analyzing test details to understand what went wrong
- Create and clone build configurations programmatically with full VCS, step, trigger, and parameter setup
- Manage build infrastructure including agents, parameters, and server health from your development environment
- Automate CI/CD workflows by queuing builds, checking status, and adjusting configurations based on AI analysis
io.github.Daghis/teamcity MCP server FAQ
It's an MCP bridge that exposes JetBrains TeamCity CI/CD operations (87 tools total) to AI coding assistants. Dev mode (31 tools) covers safe operations like triggering builds and fetching logs; Full mode adds write and management capabilities.
Yes, it's MIT-licensed open source. You need a TeamCity server (2020.1+) and a valid authentication token.
Install via npm: `claude mcp add teamcity -- npx -y @daghis/teamcity-mcp` (with environment variables or CLI args for URL and token). See the README for Windows-specific workarounds and configuration options.
Token-based authentication only. Set `TEAMCITY_TOKEN` and `TEAMCITY_URL` via environment variables, CLI arguments, or a config file. The server does not support username/password.
Dev mode (default, ~14k tokens) provides safe read-heavy operations: triggering builds, fetching logs, listing projects. Full mode (~26k tokens) adds write operations: creating/cloning configs, managing steps and triggers, agent control, and server administration.
JetBrains now ships built-in MCP and CLI tooling for TeamCity (as of 2026.1). Their official tools are the recommended default for common workflows. This project remains useful for broader write and management operations not yet covered by the built-ins.
README (reference)
Source of truth, from the repository.
TeamCity MCP Server
A Model Control Protocol (MCP) server that bridges AI coding assistants with JetBrains TeamCity CI/CD server, exposing TeamCity operations as MCP tools.
<a href="https://glama.ai/mcp/servers/@Daghis/teamcity-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@Daghis/teamcity-mcp/badge" alt="TeamCity Server MCP server" /> </a>[!NOTE] Project status (June 2026): stable, low-key maintenance. This does what it set out to do and is no longer under active development. It still works and stays installable; issues and PRs may get slow or no response, and security fixes are best-effort.
JetBrains now ships official AI integration for TeamCity — a built-in MCP and the TeamCity CLI with an installable agent skill — which is the better default for most workflows. See How this compares to JetBrains' official tooling below before adopting.
Overview
The TeamCity MCP Server allows developers using AI-powered coding assistants (Claude Code, Cursor, Windsurf) to interact with TeamCity directly from their development environment via MCP tools.
Upgrading from 1.x? Version 2.0.0 moved 15 tools from Dev to Full mode, including queue management, agent compatibility checks, and server health monitoring. If you relied on these tools in Dev mode, switch to
MCP_MODE=fullor use runtime mode switching (v2.1.0+). See CHANGELOG.md for details.
Features
🚀 Two Operational Modes
-
Dev Mode (default): Safe CI/CD operations (31 tools, ~14k context tokens)
- Trigger builds and monitor status
- Fetch build logs and inspect test failures
- List projects, configurations, and queue
- Read parameters and investigate problems
-
Full Mode: Complete infrastructure management (87 tools, ~26k context tokens)
- All Dev mode features, plus:
- Create and clone build configurations
- Manage build steps, triggers, and dependencies
- Configure VCS roots and agents
- Full CRUD for parameters (build config, project, and output parameters)
- Queue management and server administration
Runtime Mode Switching (v2.1.0+): Switch between modes at runtime using the get_mcp_mode and set_mcp_mode tools—no restart required. MCP clients that support notifications will see the tool list update automatically.
See the Tools Mode Matrix for the complete list of 87 tools and their availability by mode.
🎯 Key Capabilities
- Trigger and monitor builds, fetch logs, and inspect test failures
- Token-based authentication to TeamCity; sensitive values redacted in logs
- Modern architecture: simple, direct implementation with a singleton client
- Performance-conscious: fast startup with minimal overhead
- Clean codebase with clear module boundaries
How this compares to JetBrains' official tooling
As of June 2026, JetBrains ships first-party AI integration for TeamCity: a built-in MCP endpoint and the TeamCity CLI, which includes an installable agent skill. Together these are JetBrains' recommended path and cover the common AI workflows — reading logs, diagnosing failures, and rerunning builds — with no install and official support.
teamcity-mcp predates that tooling and overlaps with it. Broadly, the official tooling is the better default today; teamcity-mcp's remaining edge is a broader set of write and management operations exposed as an MCP server. That gap is real but narrowing, and JetBrains' tooling is evolving quickly — so rather than pin down a feature-by-feature comparison here (it would go stale fast), check the current docs and pick what fits:
- TeamCity 2026.1 announcement — overview of the official AI integration
- AI agent integration docs — the built-in MCP
- TeamCity CLI — the terminal + agent-skill path
If you're comfortable with JetBrains' CLI, you may not need this project at all. It stays MIT-licensed and installable for whatever the built-ins don't yet reach — fork it if you want to take it further yourself.
Installation
Prerequisites
- Node.js >= 20.10.0 (LTS versions 20, 22, 24 tested in CI)
- TeamCity Server 2020.1+ with REST API access
- TeamCity authentication token
Quick Start
# Clone the repository
git clone https://github.com/Daghis/teamcity-mcp.git
cd teamcity-mcp
# Install dependencies
npm install
# Configure environment
cp .env.example .env
# Edit .env with your TeamCity URL and token
# Run in development mode
npm run dev
npm Package
Run the MCP server via npx (requires Node 20.x). Set your TeamCity environment variables inline or via a .env in the working directory.
# One-off run (inline envs)
TEAMCITY_URL="https://teamcity.example.com" \
TEAMCITY_TOKEN="<your_token>" \
MCP_MODE=dev \
npx -y @daghis/teamcity-mcp
# Or rely on .env in the current directory
npx -y @daghis/teamcity-mcp
Claude Code
- Add the MCP (relying on
.envfor configuration):claude mcp add teamcity -- npx -y @daghis/teamcity-mcp
- With env vars (if not using .env):
claude mcp add teamcity -e TEAMCITY_URL="https://teamcity.example.com" -e TEAMCITY_TOKEN="tc_<your_token>" -- npx -y @daghis/teamcity-mcp
- With CLI arguments (recommended for Windows):
claude mcp add teamcity -- npx -y @daghis/teamcity-mcp --url "https://teamcity.example.com" --token "tc_<your_token>" --mode dev
- Add
-s userto install user-wide instead of project-scoped (default) - Context usage (Opus 4.1, estimates):
- Dev (default): ~14k tokens for MCP tools
- Full (
MCP_MODE=full): ~26k tokens for MCP tools
Windows Users
On Windows, Claude Code's MCP configuration may not properly merge environment variables. Use CLI arguments as a workaround:
{
"mcpServers": {
"teamcity": {
"command": "npx",
"args": [
"-y",
"@daghis/teamcity-mcp",
"--url",
"https://teamcity.example.com",
"--token",
"YOUR_TOKEN"
]
}
}
}
Or use a config file for better security (token not visible in process list):
{
"mcpServers": {
"teamcity": {
"command": "npx",
"args": ["-y", "@daghis/teamcity-mcp", "--config", "C:\\path\\to\\teamcity.env"]
}
}
}
Configuration
Environment is validated centrally with Zod. Supported variables and defaults:
# Server Configuration
PORT=3000
NODE_ENV=development
LOG_LEVEL=info
# TeamCity Configuration (aliases supported)
TEAMCITY_URL=https://teamcity.example.com
TEAMCITY_TOKEN=your-auth-token
# Optional aliases:
# TEAMCITY_SERVER_URL=...
# TEAMCITY_API_TOKEN=...
# MCP Mode (dev or full)
MCP_MODE=dev
# Optional advanced TeamCity options (defaults shown)
# Connection
# TEAMCITY_TIMEOUT=30000
# TEAMCITY_MAX_CONCURRENT=10
# TEAMCITY_KEEP_ALIVE=true
# TEAMCITY_COMPRESSION=true
# Extra headers attached to every TeamCity request — useful when TeamCity
# sits behind a reverse proxy that gates access on custom headers (e.g.
# Cloudflare Zero Trust service tokens). One env var per header; the part
# after `TEAMCITY_HEADER_` is used verbatim as the HTTP header name.
# Example (note the literal hyphens — most shells need quoting):
# TEAMCITY_HEADER_CF-Access-Client-Id=<id>
# TEAMCITY_HEADER_CF-Access-Client-Secret=<secret>
# Retry
# TEAMCITY_RETRY_ENABLED=true
# TEAMCITY_MAX_RETRIES=3
# TEAMCITY_RETRY_DELAY=1000
# TEAMCITY_MAX_RETRY_DELAY=30000
# Pagination
# TEAMCITY_PAGE_SIZE=100
# TEAMCITY_MAX_PAGE_SIZE=1000
# TEAMCITY_AUTO_FETCH_ALL=false
# Circuit Breaker
# TEAMCITY_CIRCUIT_BREAKER=true
# TEAMCITY_CB_FAILURE_THRESHOLD=5
# TEAMCITY_CB_RESET_TIMEOUT=60000
# TEAMCITY_CB_SUCCESS_THRESHOLD=2
These values are normalized in src/config/index.ts and consumed by src/teamcity/config.ts via helper getters.
Usage Examples
Once integrated with your AI coding assistant:
"Build the frontend on feature branch"
"Why did last night's tests fail?"
"Deploy staging with the latest build"
"Create a new build config for the mobile app"
Tool Responses and Pagination
- Responses: Tools now return consistent MCP content. For list/get operations, the
content[0].textcontains a JSON string. Example shape:{ "items": [...], "pagination": { "page": 1, "pageSize": 100 } }or{ "items": [...], "pagination": { "mode": "all", "pageSize": 100, "fetched": 250 } }. - Pagination: Most list_* tools accept
pageSize,maxPages, andall:pageSizecontrols items per page.all: truefetches multiple pages up tomaxPages.- Legacy
countonlist_buildsis kept for compatibility butpageSizeis preferred.
Validation and Errors
- Input validation: Tool inputs are validated with Zod schemas; invalid input returns a structured error payload in the response content (JSON string) with
success: falseanderror.code = VALIDATION_ERROR. - Error shaping: Errors are formatted consistently via a global handler. In production, messages may be sanitized; sensitive values (e.g., tokens) are redacted in logs.
API Usage
import { TeamCityAPI } from '@/api-client';
// Get the API client instance
const api = TeamCityAPI.getInstance();
// List projects
const projects = await api.listProjects();
// Get build status
const build = await api.getBuild('BuildId123');
// Trigger a new build
const newBuild = await api.triggerBuild('BuildConfigId', {
branchName: 'main',
});
Note: The legacy helpers exported from
src/teamcity/index.tsremain only for compatibility and include placeholder implementations. Prefer the MCP tools (see the reference linked above) or theTeamCityAPIshown here when automating workflows.
Development
# Run tests
npm test
# Run tests with coverage
npm run test:coverage
# Lint code
npm run lint
# Format code
npm run format
# Type check
npm run typecheck
# Build for production
npm run build
# Analyze bundle for Codecov
npm run build:bundle
Bundle analysis in CI
The CI workflow runs npm run build:bundle and uploads the generated coverage/bundles JSON using codecov/codecov-action with the javascript-bundle plugin.
Project Structure
teamcity-mcp/
├── src/ # Source code
│ ├── tools.ts # All 87 MCP tool definitions
│ ├── server.ts # MCP server setup
│ ├── api-client.ts # TeamCity API singleton
│ ├── config/ # Configuration with Zod validation
│ ├── teamcity/ # Domain logic (build, agent, config managers)
│ ├── teamcity-client/ # Auto-generated OpenAPI client
│ ├── types/ # TypeScript type definitions
│ └── utils/ # Logger, MCP helpers, pagination
├── tests/ # Unit and integration tests
├── docs/ # Documentation
└── scripts/ # Build and maintenance scripts
API Documentation
The MCP server exposes tools for TeamCity operations. Each tool corresponds to specific TeamCity REST API endpoints:
Build Management
TriggerBuild- Queue a new buildGetBuildStatus- Check build progressFetchBuildLog- Retrieve build logsListBuilds- Search builds by criteria
Test Analysis
ListTestFailures- Get failing testsGetTestDetails- Detailed test informationAnalyzeBuildProblems- Identify failure reasons
Configuration (Full Mode Only)
create_build_config- Create new TeamCity build configurations with full support for:- VCS roots (Git, SVN, Perforce) with authentication
- Build steps (script, Maven, Gradle, npm, Docker, PowerShell)
- Triggers (VCS, schedule, finish-build, maven-snapshot)
- Parameters and template-based configurations
- See the MCP Tool Reference for argument details and additional options.
clone_build_config- Duplicate existing configurations into any project, preserving steps, triggers, and parameters.update_build_config- Adjust names, descriptions, artifact rules, and pause state for a configuration.manage_build_steps- Add, update, remove, or reorder build steps through a single tool surface.manage_build_triggers- Add or delete build triggers with full property support.create_vcs_root&add_vcs_root_to_build- Define VCS roots and attach them to build configurations.
See also: docs/TEAMCITY_MCP_TOOLS_GUIDE.md for expanded workflows and examples that align with the current MCP implementation.
Contributing
We welcome contributions! Please see CONTRIBUTING.md for details.
Security
Token Management
- Configure
TEAMCITY_TOKENvia environment variable or config file (see.env.example); never commit real tokens - Use a token with minimal required permissions; read-only tokens work for most Dev mode operations
- Token-based authentication only; the MCP server does not support username/password
- Logs redact sensitive values including tokens
Mode Selection
- Prefer Dev mode unless Full mode is explicitly needed—this limits the blast radius of any misconfiguration or prompt injection
- Full mode enables destructive operations (project deletion, agent management) that cannot be easily undone
Network Security
- Always use HTTPS for TeamCity connections; the server does not enforce this but strongly recommends it
- The MCP server connects only to the configured TeamCity URL; no other network calls are made
AI Assistant Considerations
- AI assistants could be manipulated via prompt injection in build logs, test output, or other TeamCity data
- Dev mode's limited tool set reduces the impact of such attacks
- All actions appear in TeamCity's audit log under the token's associated user
- Build logs and test failure details may contain sensitive information (secrets, paths, internal URLs) that become visible to the AI assistant
Repository Security
This repository has GitHub secret scanning and push protection enabled. See SECURITY.md for vulnerability reporting.
Support
- GitHub Issues: Report bugs or request features
- Documentation: See the
docs/folder in this repository
Acknowledgments
- JetBrains TeamCity for the excellent CI/CD platform
- Anthropic for the Model Control Protocol specification
- The open-source community for continuous support
- See THIRD_PARTY_NOTICES.md for third-party licenses
Built with ❤️ for developers who love efficient CI/CD workflows
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