GitLab Documentation MCP Server

GitLab Documentation MCP Server

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.

Features

• Full-text search across GitLab documentation using SQLite FTS5
• Version-specific docs - Build for any GitLab version (e.g., 18.7.2) or latest
• Multiple repositories indexed:
  • GitLab CE/EE (main application)
  • GitLab Runner (CI/CD runner)
  • Omnibus GitLab (installation packages)
  • Gitaly (Git RPC service)
  • GitLab Pages (static sites)
  • GitLab Agent (Kubernetes integration, includes KAS)
• Optimized Docker image - Uses sparse checkout and filters to minimize size

Building the Docker Image

Find the GitLab Version

Look for the latest patch version for your desired GitLab release:

• GitLab 18.7.x tags
• GitLab 18.6.x tags
• All GitLab tags

Build for Specific Version

# Set the GitLab version you want (use full patch version)GITLAB_VERSION=18.7.2
# Build the imageGITLAB_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 createdecho "\nCreated images:"docker images | grep gitlab-docs-mcp
# Test the image - initialize and list toolsecho "\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 .

Build for Latest (Main Branch)

docker build -f docker/Dockerfile \    -t gitlab-docs-mcp:latest \    -t mcp/gitlab-docs-mcp:latest .
# Verify the images were createdecho "\nCreated images:"docker images | grep gitlab-docs-mcp
# Test the image - initialize and list toolsecho "\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 -20echo "\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"]       }     }   }

3. Restart Claude Desktop - The server will appear in the MCP tools menu (🔌 icon)

Cline (VS Code Extension)

1. Open Cline settings in VS Code
2. Navigate to MCP Servers section
3. Add this configuration:
   json

   {  "mcpServers": {    "gitlab-docs": {      "command": "docker",      "args": ["run", "-i", "--rm", "nunolima/gitlab-docs-mcp:18.7"]    }  }}

4. Reload VS Code window

Cursor

1. Open Cursor settings
2. Go to Features → Model Context Protocol
3. Add the server configuration:
   json

   {  "mcpServers": {    "gitlab-docs": {      "command": "docker",      "args": ["run", "-i", "--rm", "nunolima/gitlab-docs-mcp:18.7"]    }  }}

Version Selection

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"]

Verification

After setup, verify the server is working:

1. In Claude Desktop: Look for the 🔌 icon - you should see "gitlab-docs" listed
2. Test a query: Ask Claude to search GitLab documentation, e.g., "Search GitLab docs for CI/CD pipeline configuration"
3. Check Docker: Run docker ps -a after making a query to see if the container ran

An 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/)?

Troubleshooting

Server not appearing in client:

• Ensure Docker is running: docker info
• Check config file JSON is valid (no trailing commas, proper quotes)
• Restart your MCP client completely

"Cannot connect to Docker daemon" error:

• Start Docker Desktop
• Verify Docker is accessible: docker ps

Old documentation version:

• Use a different version tag (see Version Selection above)
• Check available tags: https://hub.docker.com/r/nunolima/gitlab-docs-mcp/tags

Available Tools

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 results
• search_and_fetch: Search and return full markdown for each hit in one call

Resources

• docs://repos: Indexed repository keys
• docs://{+path}: Full markdown for an indexed document path

Example Queries

Try asking your AI assistant:

• "Search GitLab docs for how to set up GitLab Runner with Docker"
• "Find documentation about GitLab CI/CD pipeline syntax"
• "What does the GitLab documentation say about backup and restore?"
• "Search for GitLab Pages custom domain configuration"

How It Works

1. Build time: Clones doc folders from GitLab repositories using sparse checkout
2. Indexing: Parses markdown files and builds an SQLite FTS5 search index
3. Runtime: MCP server provides search tools to query the indexed documentation

Versioning Strategy

• Main GitLab repo: Uses full version tag (e.g., v18.7.2-ee)
• Omnibus GitLab: Uses full version with +ee suffix (e.g., 18.7.2+ee.0)
• Other repositories: Use major.minor.0 version (e.g., v18.7.0)
  • This uses the first stable release (.0) for each major.minor version
  • Example: Building GitLab 18.7.2 will use Runner/Gitaly/Pages/Agent v18.7.0

Development

Project Structure

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)

Local Development

# Install dependenciespip install -r requirements.txt
# Clone repos manually for testing# (or let Docker handle it)
# Build indexpython indexer/build_index.py
# Run server (stdio)python -m server.main

Integration tests (curl + jq)

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.mainMCP_BASE_URL=http://127.0.0.1:8000/mcp ./test.sh

License

MIT License - Copyright (c) 2026 Nuno Lima

This project indexes documentation from GitLab's open source repositories. See individual repository licenses for details.

Acknowledgments

Development of this project was supported by OLX, which provided access to AI-assisted development tools.