Ticket AI runs on your own machine — the client starts it, so there is no endpoint to ping. 89 installs a week from pypi. Last commit 12 Sep 2026.
Measures tickets against the ones your team already shipped: sections, length, labels, duplicates.
What the code does
We read the source, 1 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
proc = subprocess.Popen(
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
This code can reach further than it looks
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Connect this server
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 ticket-ai-mcp -e 'TICKET_AI_TRACKER=<TICKET_AI_TRACKER>' -e 'TICKET_AI_PROJECT=<TICKET_AI_PROJECT>' -- uvx ticket-ai-mcp{
"mcpServers": {
"ticket-ai-mcp": {
"command": "uvx",
"args": [
"ticket-ai-mcp"
],
"env": {
"TICKET_AI_PROJECT": "<TICKET_AI_PROJECT>",
"TICKET_AI_TRACKER": "<TICKET_AI_TRACKER>"
}
}
}
}[mcp_servers.ticket-ai-mcp]
command = "uvx"
args = ["ticket-ai-mcp"]
env = { TICKET_AI_TRACKER = "<TICKET_AI_TRACKER>", TICKET_AI_PROJECT = "<TICKET_AI_PROJECT>" }{
"mcpServers": {
"ticket-ai-mcp": {
"command": "uvx",
"args": [
"ticket-ai-mcp"
],
"env": {
"TICKET_AI_PROJECT": "<TICKET_AI_PROJECT>",
"TICKET_AI_TRACKER": "<TICKET_AI_TRACKER>"
}
}
}
}{
"servers": {
"ticket-ai-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"ticket-ai-mcp"
],
"env": {
"TICKET_AI_PROJECT": "<TICKET_AI_PROJECT>",
"TICKET_AI_TRACKER": "<TICKET_AI_TRACKER>"
}
}
}
}Put your own values in place of
<TICKET_AI_TRACKER> (Which tracker to read: gitlab, jira or github), <TICKET_AI_PROJECT> (The project to measure. A GitLab path like acme/shop or its numeric id, a Jira project key like PROJ, or a GitHub owner/repo).
The author’s registry entry marks them as required.
Optional settings from the registry entry, left out of the block above:
TICKET_AI_GITLAB_URL (Base URL of the GitLab instance, for example https://gitlab.example.com. Required when the tracker is gitlab), TICKET_AI_GITLAB_TOKEN (GitLab personal access token. The read_api scope is enough; nothing here writes), TICKET_AI_JIRA_URL (Base URL of the Jira instance. Cloud or self-hosted Server and Data Center; which one is detected from the instance), TICKET_AI_JIRA_EMAIL (Account email, for Jira Cloud's basic auth. Leave unset for a public board or for a Server personal access token), TICKET_AI_JIRA_TOKEN (Jira API token from id.atlassian.com, or a Server personal access token on its own. Leave unset to read a public instance anonymously), TICKET_AI_GITHUB_TOKEN (GitHub token with read access to the repository's issues), TICKET_AI_REPO (Checkout to search when gathering context for a subject. Defaults to the working directory, which on a wrong guess produces confident nonsense - the report names the directory it searched), TICKET_AI_TICKET_LANGUAGE (Force the language tickets should be written in, overriding what was measured in the corpus. Leave unset unless the board is mid-switch: a measurement beats a setting), TICKET_AI_CACHE_DIR (Where the learned profile is kept between runs. Defaults to .ticket-ai/ under the working directory).
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Ticket AI — questions
Answers built from our own checks of this server.