
Indexes GitLab documentation from six core repositories (main, Runner, Omnibus, Gitaly, Pages, Agent) into a searchable SQLite FTS5 database. Exposes three tools: search_docs for full-text queries across all docs, get_doc for retrieving specific files by path, and list_repositories to see what's indexed. Ships as a Docker image tagged to specific GitLab versions, so you can match your deployment's docs exactly. Reach for this when you're working with GitLab APIs or configurations and need quick access to official documentation without context switching to a browser. The sparse checkout approach keeps the container small despite pulling from multiple repos.
A Model Context Protocol (MCP) server that provides searchable access to GitLab's official documentation. This server indexes markdown documentation from multiple GitLab OSS repositories and makes it available for AI assistants and other MCP clients.
Look for the latest patch version for your desired GitLab release:
# Set the GitLab version you want (use full patch version)
GITLAB_VERSION=18.7.2
# Build the image
GITLAB_MINOR=$(echo $GITLAB_VERSION | cut -d. -f1,2)
docker build -f docker/Dockerfile --build-arg GITLAB_VERSION=$GITLAB_VERSION \
-t gitlab-docs-mcp:$GITLAB_VERSION \
-t mcp/gitlab-docs-mcp:$GITLAB_VERSION \
-t gitlab-docs-mcp:$GITLAB_MINOR \
-t mcp/gitlab-docs-mcp:$GITLAB_MINOR .
# Verify the images were created
echo "\nCreated images:"
docker images | grep gitlab-docs-mcp
# Test the image - initialize and list tools
echo "\nTesting MCP server initialization:"
echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}' | \
docker run -i --rm mcp/gitlab-docs-mcp:$GITLAB_VERSION | jq .
echo "\nListing available tools:"
(echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'; \
echo '{"jsonrpc":"2.0","id":2,"method":"tools/list"}') | \
docker run -i --rm mcp/gitlab-docs-mcp:$GITLAB_VERSION 2>/dev/null | tail -1 | jq .
docker build -f docker/Dockerfile \
-t gitlab-docs-mcp:latest \
-t mcp/gitlab-docs-mcp:latest .
# Verify the images were created
echo "\nCreated images:"
docker images | grep gitlab-docs-mcp
# Test the image - initialize and list tools
echo "\nTesting MCP server initialization:"
echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}' | \
docker run -i --rm mcp/gitlab-docs-mcp:latest | head -20
echo "\nListing available tools:"
(echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'; \
echo '{"jsonrpc":"2.0","id":2,"method":"tools/list"}') | \
docker run -i --rm mcp/gitlab-docs-mcp:latest 2>/dev/null | tail -1 | jq .```
## Installation
This server is published to the [MCP Community Registry](https://registry.modelcontextprotocol.io/v0/servers?search=io.github.nunolima/gitlab-docs-mcp).
### Prerequisites
- Docker installed and running
- MCP-compatible client (Claude Desktop, Cline, Cursor, etc.)
### Setup Instructions
#### Claude Desktop
1. **Locate your config file**:
- macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
- Windows: `%APPDATA%\Claude\claude_desktop_config.json`
- Linux: `~/.config/Claude/claude_desktop_config.json`
2. **Add the server configuration**:
```json
{
"mcpServers": {
"gitlab-docs": {
"command": "docker",
"args": ["run", "-i", "--rm", "nunolima/gitlab-docs-mcp:18.7"]
}
}
}
{
"mcpServers": {
"gitlab-docs": {
"command": "docker",
"args": ["run", "-i", "--rm", "nunolima/gitlab-docs-mcp:18.7"]
}
}
}
{
"mcpServers": {
"gitlab-docs": {
"command": "docker",
"args": ["run", "-i", "--rm", "nunolima/gitlab-docs-mcp:18.7"]
}
}
}
Choose the version that matches your GitLab deployment:
// For GitLab 18.7.x
"args": ["run", "-i", "--rm", "nunolima/gitlab-docs-mcp:18.7"]
// For latest GitLab version
"args": ["run", "-i", "--rm", "nunolima/gitlab-docs-mcp:latest"]
After setup, verify the server is working:
docker ps -a after making a query to see if the container ranAn good test AI request message is: Using only the "gitlab-docs-mcp" mcp tools as source, what is the latest x.y.z GitLab version covered in the GitLab upgrade notes (doc/update/versions/)?
Server not appearing in client:
docker info"Cannot connect to Docker daemon" error:
docker psOld documentation version:
Once connected, the server provides these tools (MCP Python SDK v2, structured outputs):
search_docs: Full-text search across all GitLab documentation (returns paths, titles, repos)get_doc: Retrieve a specific document by exact path from search resultssearch_and_fetch: Search and return full markdown for each hit in one calldocs://repos: Indexed repository keysdocs://{+path}: Full markdown for an indexed document pathTry asking your AI assistant:
v18.7.2-ee)18.7.2+ee.0)v18.7.0)
python/gitlab-docs-mcp/
├── docker/
│ └── Dockerfile # Main Dockerfile with version support
├── indexer/
│ └── build_index.py # Builds search index from markdown files
├── server/
│ └── main.py # MCP server implementation
├── data/
│ └── docs.db # SQLite FTS5 database (generated)
└── repos/ # Cloned documentation (generated)
# Install dependencies
pip install -r requirements.txt
# Clone repos manually for testing
# (or let Docker handle it)
# Build index
python indexer/build_index.py
# Run server (stdio)
python -m server.main
test.sh starts the Docker image with Streamable HTTP and validates discover, tools, and resources against MCP protocol 2026-07-28:
# Rebuild image first, then:
./test.sh 19.0.5
# Or against an already-running HTTP server:
MCP_TRANSPORT=streamable-http MCP_HOST=0.0.0.0 MCP_PORT=8000 python -m server.main
MCP_BASE_URL=http://127.0.0.1:8000/mcp ./test.sh
MIT License - Copyright (c) 2026 Nuno Lima
This project indexes documentation from GitLab's open source repositories. See individual repository licenses for details.
Development of this project was supported by OLX, which provided access to AI-assisted development tools.