Query GitLab projects, issues, and pipelines with 90% fewer tokens using progressive disclosure meta-tools. Built for developers integrating GitLab workflows into AI agents and chat applications.
io.github.detailobsessed/efficient-gitlab
Local install
STDIO
1 required env var
How models use it and what it is built for.
Query GitLab projects, issues, and pipelines with 90% fewer tokens using progressive disclosure meta-tools. Built for developers integrating GitLab workflows into AI agents and chat applications.
Local install — runs as a subprocess.
Configuration this server reads at startup.
GitLab personal access token with API scope
GitLab API base URL (default: https://gitlab.com)
Where to find authoritative docs and source for Detailobsessed Efficient Gitlab.
Paste any of these into Agent Studio after connecting Detailobsessed Efficient Gitlab.
Common questions about connecting and running Detailobsessed Efficient Gitlab.
What does 'progressive disclosure' mean in this MCP server?
Progressive disclosure uses 2 meta-tools to reduce token usage by ~90%. Instead of fetching all data at once, the server returns summaries first, then expands details only when you ask for them—saving tokens on large GitLab instances.
How do I authenticate with GitLab?
Set the GITLAB_PERSONAL_ACCESS_TOKEN environment variable with a token that has API scope. Optionally set GITLAB_API_URL if using a self-hosted GitLab instance (default is https://gitlab.com).
Can I use this with self-hosted GitLab?
Yes. Set GITLAB_API_URL to your self-hosted GitLab API endpoint. The GITLAB_PERSONAL_ACCESS_TOKEN must have API scope on your instance.
What GitLab resources can this server access?
The server queries projects, issues, merge requests, and pipelines via the GitLab API. Exact capabilities depend on your personal access token's permissions and your GitLab instance's API.
Is there a cost to using this MCP server?
The server itself is open-source. You pay only for GitLab API calls (GitLab.com is free for public projects) and any LLM token usage, which is reduced by ~90% due to progressive disclosure.
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