GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Read-only MCP server for JetBrains TeamCity — builds, configs, logs, tests, agents
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
TEAMCITY_BASE_URL, TEAMCITY_TOKENValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"teamcity": {
"command": "uvx",
"args": [
"readonly-mcp-teamcity"
],
"env": {
"TEAMCITY_BASE_URL": "your-value",
"TEAMCITY_TOKEN": "your-value"
}
}
}
}Run this in your terminal
claude mcp add teamcity --env TEAMCITY_BASE_URL=your-value --env TEAMCITY_TOKEN=your-value -- uvx readonly-mcp-teamcityFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"teamcity": {
"command": "uvx",
"args": [
"readonly-mcp-teamcity"
],
"env": {
"TEAMCITY_BASE_URL": "your-value",
"TEAMCITY_TOKEN": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"teamcity": {
"type": "stdio",
"command": "uvx",
"args": [
"readonly-mcp-teamcity"
],
"env": {
"TEAMCITY_BASE_URL": "your-value",
"TEAMCITY_TOKEN": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account desty2k, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: TEAMCITY_BASE_URL, TEAMCITY_TOKEN
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 4 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
A read-only Model Context Protocol (MCP) server that lets AI agents explore a JetBrains TeamCity server: projects, build configurations, builds, logs, test results, problems, the queue, agents, and VCS changes. 29 tools, all of them reads.
With uv installed, there is nothing else to install:
claude mcp add teamcity \
-e TEAMCITY_BASE_URL=https://teamcity.example.com \ -e TEAMCITY_TOKEN=your-token \ -- uvx readonly-mcp-teamcity
uvx downloads the package into a cached, isolated environment and runs it. Python 3.11 or newer.
Read-only by design. This server only ever issues
GETrequests (a test
fails if the HTTP client gains any other method). It cannot trigger, cancel,
pin, tag, or modify anything in TeamCity, and every tool is annotated
readOnlyHint. Scope the token read-only on the TeamCity side as a second
line of defense: see Token. Read
Create a token under Profile → Access Tokens. Set Permissions scope to Limit per project, pick the root project (or the projects the agent should see), and choose the Read-only preset. A token scoped that way cannot change anything even if a client misbehaves.
The Read-only preset selects the 14 VIEW_* permissions TeamCity marks as read-only, including global ones for agent details and server settings. A token never gets more than its owner has: with a token from a user who has only the Project viewer role, agent tools still work, and get_server_health reports metrics as unavailable but still returns health items. Checked against TeamCity 2026.2.1, where a preset token could not pin a build (HTTP 403).
| Tool | Description |
|---|---|
search_projects | Search projects by name, ID, or parent; browse the hierarchy. |
get_project_details | Full project: child projects, build configs, parameters. |
| Tool | Description |
|---|---|
search_build_configs | Structured search by project ID, build type ID, or paused state. |
find_build_config | Fuzzy search across config names and project paths; flags ambiguous matches and lists matching projects. |
get_build_config_details | Steps, triggers, parameters, VCS roots, settings, agent requirements. |
get_build_config_branches | Branches a configuration can build, with default/active status. |
| Tool | Description |
|---|---|
search_builds | Search build history filtered by config, project, status, branch, date, etc. |
get_build_details | One build: status, agent, revisions, parameters, dependencies, test summary, tags. |
get_build_statistics | Numeric metrics: durations, test counts, coverage, artifact size. |
get_build_chain | Snapshot-dependency chain upstream (depends-on) and downstream (dependents). |
| Tool | Description |
|---|---|
get_build_log | Paginated log retrieval with tail and line-range support. |
search_build_log | Full-text search within a build log, with surrounding context. |
| Tool | Description |
|---|---|
diagnose_build | Why a build failed, in one call: problems, failed tests (unmuted first) and the error lines of the log. |
get_build_test_results | Test occurrences for a build, filterable by status. |
get_test_details | One test occurrence: failure reason, history brackets, mute/investigation state. |
get_build_problems | Structured failure reasons (compilation, exit code, dependency). |
search_investigations | Active investigations by project, build config, or assignee. |
list_muted_tests | Currently muted tests with scope, who muted them, and why. |
| Tool | Description |
|---|---|
get_build_queue | Builds waiting for an agent, with wait reasons. |
search_agents | Build agents with connection/authorization/enabled state and current build. |
list_agent_pools | Agent pools with agent and project counts. |
get_agent_details | One agent's state with enabled/authorized comments, last activity, current build. |
list_build_artifacts | Browse a build's artifact tree (one directory level). |
get_build_artifact_content | Read a text artifact (size-capped, line-paginated). |
search_changes | VCS changes (commits) by build, config, project, committer, or since-commit. |
get_change_details | One change with its full modified-file list. |
resolve_teamcity_url | Parse a TeamCity web URL into project / build-config / build / change IDs. |
get_server_info | TeamCity version, build number, and uptime. |
get_server_health | Server health items + runtime metrics (CPU, memory, queue). |
Run it without installing (recommended):
uvx readonly-mcp-teamcity
Or install it into an environment:
uv tool install readonly-mcp-teamcity # or: pip install readonly-mcp-teamcity
The image serves the streamable HTTP transport on port 8080. That transport has no authentication, so publish it on the host's loopback only:
docker run --rm \
-e TEAMCITY_BASE_URL=https://teamcity.example.com \ -e TEAMCITY_TOKEN=your-token \ -p 127.0.0.1:8080:8080 \ ghcr.io/desty2k/readonly-mcp-teamcity:latest
All configuration comes from TEAMCITY_* environment variables.
| Variable | Required | Default | Description |
|---|---|---|---|
TEAMCITY_BASE_URL | yes | — | TeamCity server base URL (e.g. https://teamcity.example.com). |
TEAMCITY_TOKEN | yes | — | REST API bearer token. See Token. |
TEAMCITY_TIMEOUT | no | 30 | HTTP request timeout (seconds). |
TEAMCITY_MAX_RETRIES | no | 3 | Retries for transient network / 5xx errors. |
TEAMCITY_POOL_MAX_CONNECTIONS | no | 20 | httpx connection-pool size. |
TEAMCITY_DEFAULT_LIMIT | no | 50 | Default page size for list tools. |
TEAMCITY_MAX_LIMIT | no | 500 | Maximum page size. |
TEAMCITY_INDEX_REFRESH_INTERVAL | no | 300 | Seconds between fuzzy-index refreshes. A failed load is retried sooner. |
TEAMCITY_LOG_CACHE_MAX_BYTES | no | 67108864 | Size cap of the build-log cache. Logs of running builds are never cached. |
TEAMCITY_LOG_CACHE_TTL | no | 300 | Seconds a finished build's log stays cached. |
TEAMCITY_TRANSPORT | no | stdio | stdio, http, or sse. |
TEAMCITY_HTTP_HOST | no | 127.0.0.1 | Bind address for http/sse. These transports have no authentication; a non-loopback address logs a warning. |
TEAMCITY_HTTP_PORT | no | 8080 | Port for the http/sse transports. |
TEAMCITY_LOG_FORMAT | no | json | json (production) or text (local dev). |
TEAMCITY_LOG_LEVEL | no | INFO | DEBUG, INFO, WARNING, or ERROR. |
See .env.example for a copy-paste template.
Tracing is opt-in and a no-op when disabled. The base install carries no OTel SDK; install the extra and enable it to export spans for each upstream TeamCity call:
pip install 'readonly-mcp-teamcity[otel]'
export TEAMCITY_OTEL_ENABLED=true export TEAMCITY_OTEL_ENDPOINT=http://localhost:4317 # optional; falls back to OTEL_EXPORTER_OTLP_ENDPOINT
| Variable | Default | Description |
|---|---|---|
TEAMCITY_OTEL_ENABLED | false | Master switch for tracing. |
TEAMCITY_OTEL_SERVICE_NAME | readonly-mcp-teamcity | service.name on every span. |
TEAMCITY_OTEL_ENDPOINT | unset | OTLP collector endpoint. |
TEAMCITY_OTEL_PROTOCOL | grpc | grpc or http/protobuf. |
TEAMCITY_OTEL_CONSOLE_EXPORT | false | Also print spans to stderr. |
Add to claude_desktop_config.json (~/Library/Application Support/Claude/ on macOS, %APPDATA%\Claude\ on Windows):
{
"mcpServers": { "teamcity": { "command": "uvx", "args": ["readonly-mcp-teamcity"], "env": { "TEAMCITY_BASE_URL": "https://teamcity.example.com", "TEAMCITY_TOKEN": "your-token" } } } }
See Quick start.
As of November 2026. Check the projects themselves before relying on this.
| This server | JetBrains MCP (2026.1+) | Daghis 2.12.12 | itcaat 1.0.8 | kate-horshchar 1.4.0 | |
|---|---|---|---|---|---|
| Writes | none, by construction | personal builds in the default safe mode; more with brave mode | trigger and cancel by default; a full mode the agent can switch on | trigger, cancel, pin, tag; no off switch | none, GET only |
| Runs where | your machine | the TeamCity server (/app/mcp) | your machine | your machine | your machine |
| Find a config from a vague name | fuzzy index over names and project paths | not documented | locator only | locator partial match | no |
| Paste a TeamCity URL | modern, short and legacy URLs | not documented | no | no | no |
Sources: JetBrains AI agent integration, JetBrains/teamcity-mcp, Daghis/teamcity-mcp, itcaat/teamcity-mcp, kate-horshchar/teamcity-qa-mcp. The JetBrains plugin README and its help page disagree on whether brave mode is on by default; check your server's setting.
Use the built-in server if you want an agent to act on TeamCity. Use this one when the agent should only look.
Proj_Build and which failed."diagnose_build call)OutOfMemoryError."https://teamcity.example.com/buildConfiguration/Proj_Build/12345."git clone https://github.com/desty2k/readonly-mcp-teamcity
cd readonly-mcp-teamcity uv sync --all-extras uv run pytest --cov uv run ruff check . uv run ruff format --check .
A live smoke test against a real server (reads credentials from .env):
uv run python tests/smoke_test.py
MIT — see LICENSE.