Skip to main content
Glama
pipeworx-io

mcp-gitlab-public

by pipeworx-io
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

mcp-gitlab-public

GitLab Public MCP — wraps the GitLab REST API v4 (public endpoints, no auth)

Part of Pipeworx — an MCP gateway connecting AI agents to 1683+ live data sources.

Tools

Tool

Description

search_projects

Search public GitLab projects by keyword, sorted by popularity. Returns project ID, name, description, star count, fork count, open issues, and web URL.

get_project

Get full details for a public GitLab project by numeric ID or "namespace/project" path (e.g., "gitlab-org/gitlab"). Pass the path as written, with a plain slash — do not URL-encode it, the tool handles that internally. Returns name, description, stars, forks, default branch, topics, and last activity date.

search_issues

Search issues across public GitLab projects by keyword. Returns issue title, state, author, labels, project ID, and direct URL.

Related MCP server: GitLab MCP Server

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "gitlab-public": {
      "url": "https://gateway.pipeworx.io/gitlab-public/mcp"
    }
  }
}

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/gitlab-public/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1683+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

curl -X POST https://gateway.pipeworx.io/v1/tools/gitlab_public_search_projects \
  -H 'Content-Type: application/json' \
  -d '{"query":"machine learning"}'

No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/gitlab_public_search_projects. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "gitlab-public": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-gitlab-public"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-gitlab-public

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Gitlab Public data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

Related MCP Connectors

Related MCP Servers

  • GitLab MR MCP

    kopfrechner
    A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI agents to interact with GitLab repositories, allowing them to manage merge requests and issues including listing projects, fetching MR details and diffs, adding comments, and updating MR titles and descriptions.
    14 npm
    94
    MIT

  • GitLab MCP Server

    masx200
    A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI assistants to interact with GitLab by wrapping the REST API v4 into executable tools for repository and branch management. It supports operations like creating projects, managing branches, and retrieving user information through the Model Context Protocol.
    10 npm
    1
    ISC