Galley MCP Server

A Model Context Protocol (MCP) server for Galley GraphQL API integration using Apollo MCP Server with mandatory automatic schema introspection. The server introspects your Galley GraphQL schema on startup and provides seamless integration with MCP clients like Claude, Cursor, and VS Code.

🚀 Quick Start

Prerequisites

Docker installed on your system
Galley API authentication (X-API-KEY or Bearer token)
Network access to Galley GraphQL endpoints

Build and Run

bash

# Option 1: Use pre-built image from public ECR (recommended)
docker run -i -e X_API_KEY="your_api_key_here" public.ecr.aws/o0r1r5q2/galley-mcp:latest

# Option 2: Build from source
# Clone the repository
git clone 
cd galley-mcp

# Build the Docker image
docker build -t galley-mcp .

# Run with X-API-KEY authentication
docker run -i -e X_API_KEY="your_api_key_here" galley-mcp

# Or run with x-user-api-key authentication
docker run -i -e X_USER_API_KEY="your_user_api_key_here" galley-mcp

# Or run with Bearer token authentication
docker run -i -e GALLEY_AUTH_TOKEN="your_bearer_token_here" galley-mcp

Pre-built Images

Pre-built multi-architecture Docker images are available from Amazon ECR Public Gallery:

Registry: public.ecr.aws/o0r1r5q2/galley-mcp
Latest: public.ecr.aws/o0r1r5q2/galley-mcp:latest
Architectures: linux/amd64, linux/arm64
Automatic releases: Images are automatically built and published on every commit to master branch

Version Tags Available:

latest - Latest stable version from master branch
v1.0.0, v1.1.0, etc. - Semantic version tags from releases
1.0.0, 1.1.0, etc. - Version tags without 'v' prefix
develop - Latest development version from develop branch

What Happens on Startup

1. Schema Introspection: Automatically introspects the Galley GraphQL schema from https://app.galleysolutions.com/graphql

2. Schema Validation: Verifies the schema was successfully retrieved (startup fails if introspection fails)

3. MCP Server Start: Launches Apollo MCP Server with the introspected schema and your operations

Important: Interactive Mode Required

MCP servers need to run in interactive mode (-i flag) to communicate with MCP clients. This allows:

Bidirectional communication between the client and server
Real-time request/response handling for GraphQL operations
Proper stdin/stdout stream management for MCP protocol

Always use docker run -i when running the container for MCP client integration.

📋 Docker Installation

Linux (Ubuntu/Debian)

bash

# Update package index
sudo apt-get update

# Install required packages
sudo apt-get install ca-certificates curl gnupg lsb-release

# Add Docker's official GPG key
sudo mkdir -p /etc/apt/keyrings
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg

# Add Docker repository
echo \
  "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
  $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null

# Install Docker Engine
sudo apt-get update
sudo apt-get install docker-ce docker-ce-cli containerd.io docker-compose-plugin

# Add your user to docker group (optional, to run without sudo)
sudo usermod -aG docker $USER
newgrp docker

# Verify installation
docker --version

macOS

Option 1: Docker Desktop (Recommended)

1. Download Docker Desktop from https://www.docker.com/products/docker-desktop

2. Install the .dmg file

3. Launch Docker Desktop from Applications

4. Verify installation: docker --version

Option 2: Homebrew

bash

# Install Homebrew if not already installed
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

# Install Docker
brew install --cask docker

# Launch Docker Desktop
open /Applications/Docker.app

# Verify installation
docker --version

Windows

Option 1: Docker Desktop (Recommended)

1. Download Docker Desktop from https://www.docker.com/products/docker-desktop

2. Run the installer

3. Restart your computer when prompted

4. Launch Docker Desktop

5. Verify installation: docker --version

Option 2: WSL2 + Docker (Advanced)

powershell

# Enable WSL2
wsl --install

# Install Docker in WSL2
# Follow Linux installation steps inside WSL2

⚙️ Configuration

Environment Variables

Variable	Description	Default	Required
`X_API_KEY`	Galley X-API-KEY authentication	-	*
`X_USER_API_KEY`	Galley x-user-api-key authentication	-	*
`GALLEY_AUTH_TOKEN`	Galley Bearer token authentication	-	*
`STAGING`	Use staging environment endpoints	`false`	No
`ENDPOINT`	GraphQL endpoint URL for MCP operations	`https://app.galleysolutions.com/graphql` (prod) or `https://staging-app.galleysolutions.com/graphql` (staging)	No
`INTROSPECT_ENDPOINT`	Schema introspection endpoint	Same as `ENDPOINT`	No
`USER_DIRECTORY`	Additional operations directory to mount	-	No
`APOLLOGRAPHQL_CLIENT_NAME`	Client identification header	`galley-mcp-server@{hostname}`	No
`SCHEMA_OUTPUT`	Schema output file path	`/app/schema.graphql`	No
`MCP_DEBUG`	Enable debug mode with verbose logging	`false`	No
`DISABLE_INTROSPECTION`	Disable introspection capability on MCP server	`false`	No
`ALLOW_MUTATIONS`	Control mutation permissions: `none`, `explicit`, or `all`	`none`	No

Authentication Priority: X_API_KEY takes precedence over X_USER_API_KEY, which takes precedence over GALLEY_AUTH_TOKEN if multiple are provided.

Environment Modes

The server supports both production and staging environments:

Production Mode (Default)

bash

# Uses production endpoints by default
docker run -i -e X_API_KEY="your_key" public.ecr.aws/o0r1r5q2/galley-mcp:latest

Endpoint: https://app.galleysolutions.com/graphql
Introspection: https://app.galleysolutions.com/graphql

Staging Mode

bash

# Enable staging mode
docker run -i -e X_API_KEY="your_key" -e STAGING=true public.ecr.aws/o0r1r5q2/galley-mcp:latest

Endpoint: https://staging-app.galleysolutions.com/graphql
Introspection: https://staging-app.galleysolutions.com/graphql

Custom Endpoints

bash

# Override specific endpoints (takes precedence over STAGING flag)
docker run -i \
  -e X_API_KEY="your_key" \
  -e ENDPOINT="https://custom.galleysolutions.com/graphql" \
  -e INTROSPECT_ENDPOINT="https://custom-introspect.galleysolutions.com/graphql" \
  public.ecr.aws/o0r1r5q2/galley-mcp:latest

Debug Mode

Set MCP_DEBUG=true to enable verbose logging and detailed output:

Schema Introspection: Shows detailed Rover output and schema statistics
Apollo MCP Server: Enables debug logging with --log DEBUG
Configuration: Displays all environment variables and settings
Silent Mode: When MCP_DEBUG=false (default), minimal output for production use

bash

# Enable debug mode
docker run -i -e X_API_KEY="your_key" -e MCP_DEBUG=true public.ecr.aws/o0r1r5q2/galley-mcp:latest

# Silent mode (default)
docker run -i -e X_API_KEY="your_key" public.ecr.aws/o0r1r5q2/galley-mcp:latest

Schema Introspection

Mandatory: Schema introspection runs on every startup and cannot be skipped
Fail-Fast: Server will not start if schema introspection fails
Authentication: Uses the same authentication method (X-API-KEY or Bearer token) for introspection
Output: Schema is saved to /app/schema.graphql and used by Apollo MCP Server

Introspection Control

The MCP server supports introspection capabilities that allow clients to explore the GraphQL schema dynamically. You can control this behavior with the DISABLE_INTROSPECTION environment variable:

Default behavior: Introspection is enabled (DISABLE_INTROSPECTION=false)
Security consideration: Disable introspection in production environments for security
Client impact: When disabled, MCP clients cannot dynamically explore the schema

bash

# Enable introspection (default)
docker run -i -e X_API_KEY="your_key" public.ecr.aws/o0r1r5q2/galley-mcp:latest

# Disable introspection for production
docker run -i -e X_API_KEY="your_key" -e DISABLE_INTROSPECTION=true public.ecr.aws/o0r1r5q2/galley-mcp:latest

Mutation Control

The MCP server provides fine-grained control over GraphQL mutations through the ALLOW_MUTATIONS environment variable. This helps maintain data safety and control what operations MCP clients can perform:

**none** (default): Don't allow any mutations - read-only access
**explicit**: Allow only pre-defined mutations from operation files, but don't allow the LLM to build new mutations dynamically
**all**: Allow the LLM to build and execute mutations dynamically (highest risk)

bash

# Read-only mode (default)
docker run -i -e X_API_KEY="your_key" public.ecr.aws/o0r1r5q2/galley-mcp:latest

# Allow only explicit mutations from operation files
docker run -i -e X_API_KEY="your_key" -e ALLOW_MUTATIONS=explicit public.ecr.aws/o0r1r5q2/galley-mcp:latest

# Allow LLM to build mutations (use with caution)
docker run -i -e X_API_KEY="your_key" -e ALLOW_MUTATIONS=all public.ecr.aws/o0r1r5q2/galley-mcp:latest

Security Recommendation: Use none or explicit in production environments to prevent unintended data modifications.

Example Configurations

Production Setup (Read-only)

bash

docker run -i \
  -e X_API_KEY="prod_api_key_here" \
  -e ENDPOINT="https://app.galleysolutions.com/graphql" \
  -e INTROSPECT_ENDPOINT="https://app.galleysolutions.com/graphql" \
  -e APOLLOGRAPHQL_CLIENT_NAME="production-server@prod-host" \
  -e DISABLE_INTROSPECTION=true \
  -e ALLOW_MUTATIONS=none \
  public.ecr.aws/o0r1r5q2/galley-mcp:latest

Production Setup (Explicit Mutations Only)

bash

docker run -i \
  -e X_API_KEY="prod_api_key_here" \
  -e ENDPOINT="https://app.galleysolutions.com/graphql" \
  -e INTROSPECT_ENDPOINT="https://app.galleysolutions.com/graphql" \
  -e APOLLOGRAPHQL_CLIENT_NAME="production-server@prod-host" \
  -e DISABLE_INTROSPECTION=true \
  -e ALLOW_MUTATIONS=explicit \
  public.ecr.aws/o0r1r5q2/galley-mcp:latest

Development with Custom Operations and Debug

bash

docker run -i \
  -e X_API_KEY="dev_api_key_here" \
  -e USER_DIRECTORY="/custom/operations" \
  -e MCP_DEBUG=true \
  -e ALLOW_MUTATIONS=all \
  -v ./custom-operations:/custom/operations \
  public.ecr.aws/o0r1r5q2/galley-mcp:latest

Staging Environment

bash

docker run -i \
  -e X_API_KEY="staging_api_key_here" \
  -e STAGING=true \
  -e APOLLOGRAPHQL_CLIENT_NAME="staging-server@staging-host" \
  public.ecr.aws/o0r1r5q2/galley-mcp:latest

🔌 MCP Client Integration

Claude Desktop

1. Install Claude Desktop from https://claude.ai/download

2. Configure MCP Server in Claude's settings:

Read-only configuration (recommended):

json

{
     "mcpServers": {
       "galley": {
         "command": "docker",
         "args": [
           "run",
           "--rm",
           "-i",
           "-e", "X_API_KEY=your_api_key_here",
           "-e", "DISABLE_INTROSPECTION=true",
           "-e", "ALLOW_MUTATIONS=none",
           "public.ecr.aws/o0r1r5q2/galley-mcp:latest"
         ],
         "env": {}
       }
     }
   }

Allow explicit mutations:

json

{
     "mcpServers": {
       "galley": {
         "command": "docker",
         "args": [
           "run",
           "--rm",
           "-i",
           "-e", "X_API_KEY=your_api_key_here",
           "-e", "ALLOW_MUTATIONS=explicit",
           "public.ecr.aws/o0r1r5q2/galley-mcp:latest"
         ],
         "env": {}
       }
     }
   }

3. Restart Claude Desktop to load the MCP server

Cursor IDE

1. Install Cursor from https://cursor.sh

2. Add MCP Configuration in Cursor settings:

Open Settings → Extensions → MCP
Add new server configuration:

json

{
     "name": "galley",
     "command": "docker",
     "args": [
       "run", "--rm", "-i",
       "-e", "X_API_KEY=your_api_key_here",
       "public.ecr.aws/o0r1r5q2/galley-mcp:latest"
     ]
   }

3. Enable the MCP server in Cursor's MCP panel

VS Code

1. Install VS Code from https://code.visualstudio.com

2. Install MCP Extension:

Open Extensions panel (Ctrl+Shift+X)
Search for "Model Context Protocol"
Install the MCP extension

3. Configure MCP Server:

Open VS Code settings (Ctrl+,)
Search for "MCP"
Add server configuration:

json

{
     "mcp.servers": {
       "galley": {
         "command": "docker",
         "args": [
           "run", "--rm", "-i",
           "-e", "X_API_KEY=your_api_key_here",
           "public.ecr.aws/o0r1r5q2/galley-mcp:latest"
         ]
       }
     }
   }

🛠️ Development

Custom Operations

Add your own GraphQL operations by mounting a custom directory:

bash

# Create custom operations directory
mkdir -p ./my-operations

# Add your .graphql files
echo 'query MyCustomQuery { viewer { id } }' > ./my-operations/MyQuery.graphql

# Run with custom operations
docker run -i \
  -e X_API_KEY="your_api_key" \
  -e USER_DIRECTORY="/custom" \
  -v ./my-operations:/custom \
  public.ecr.aws/o0r1r5q2/galley-mcp:latest

Schema Introspection

The server automatically introspects the Galley GraphQL schema on startup. The schema is saved to /app/schema.graphql and used by the Apollo MCP Server.

Key Features:

Mandatory execution: Cannot be skipped or disabled
Fail-fast behavior: Server stops if introspection fails
Authentication: Uses same credentials as MCP operations
Real-time schema: Always gets the latest schema on startup
Client identification: Sends apollographql-client-name header for tracking

Built-in Tools

The Docker image includes:

Apollo MCP Server: Latest version installed to /usr/local/bin
Rover: Apollo's GraphQL CLI tool for schema introspection
Debian Bookworm Slim: Lightweight base image with glibc support

Debugging

Enable debug mode for detailed output and troubleshooting:

bash

# Enable debug mode for verbose logging
docker run -i -e X_API_KEY="your_api_key" -e MCP_DEBUG=true public.ecr.aws/o0r1r5q2/galley-mcp:latest

# View container logs
docker logs 

# Run interactively to see all output
docker run -it -e X_API_KEY="your_api_key" -e MCP_DEBUG=true public.ecr.aws/o0r1r5q2/galley-mcp:latest

# Test with different endpoints in debug mode
docker run -i \
  -e X_API_KEY="your_api_key" \
  -e MCP_DEBUG=true \
  -e INTROSPECT_ENDPOINT="https://staging-app.galleysolutions.com/graphql" \
  public.ecr.aws/o0r1r5q2/galley-mcp:latest

Debug Mode Features:

Shows all configuration values
Displays Rover introspection command and output
Shows schema statistics (lines, file size)
Enables Apollo MCP Server debug logging
Displays authentication method being used

📁 Project Structure

code

galley-mcp/
├── Dockerfile                 # Docker container with Apollo MCP Server + Rover
├── entrypoint.sh             # Main startup script with mandatory introspection
├── introspect-schema.sh      # Schema introspection script using Rover
├── operations/               # GraphQL operations directory
│   └── GetRecipesByName.graphql  # Example Galley recipe query
└── README.md                # This comprehensive guide

Key Components

entrypoint.sh: Orchestrates schema introspection and server startup
introspect-schema.sh: Uses Rover to fetch the latest Galley GraphQL schema
operations/: Contains your GraphQL operations (queries, mutations, subscriptions)
Dockerfile: Multi-stage build with Apollo MCP Server and Rover pre-installed

🔄 CI/CD Pipeline

The project includes automated CI/CD using GitHub Actions with two specialized workflows:

🚀 Release Workflow (`release.yml`)

Triggers: Push to master branch

What it does:

Auto-versioning: Automatically increments patch version from latest tag
GitHub Releases: Creates release with auto-generated notes
Multi-architecture builds: Builds for linux/amd64 and linux/arm64
Multiple Docker tags: Publishes latest, v1.0.1, and 1.0.1 tags
Release documentation: Includes Docker image URLs and commit info

Example: Push to master → Creates v1.0.1 release + publishes Docker images

🔧 Build Workflow (`build-and-push.yml`)

Triggers:

Push to develop branch
Pull requests to master

What it does:

Development builds: Publishes develop tag for development branch
PR validation: Builds (but doesn't publish) for pull requests
Multi-architecture: Supports both linux/amd64 and linux/arm64
Caching: Uses GitHub Actions cache for faster builds

Available Docker Tags

**latest** - Latest stable release from master branch
**v1.0.1, 1.0.1** - Semantic version tags from releases
**develop** - Latest development version from develop branch

Repository Setup

To set up the CI/CD pipeline, configure these GitHub repository secrets:

AWS_ACCESS_KEY_ID: AWS access key for ECR push permissions
AWS_SECRET_ACCESS_KEY: AWS secret key for ECR push permissions

Permissions: The release workflow needs contents: write permission (automatically configured).

The ECR repository needs to be created as a public repository in us-east-1 region with the name galley-mcp.

🔧 Troubleshooting

Common Issues

Authentication Errors

bash

# Verify your API key is correct
docker run -i -e X_API_KEY="your_key" public.ecr.aws/o0r1r5q2/galley-mcp:latest

# Check if endpoint is accessible
curl -H "X-API-KEY: your_key" https://app.galleysolutions.com/graphql

Schema Introspection Fails

bash

# Check network connectivity to introspection endpoint
docker run --rm -e X_API_KEY="your_key" public.ecr.aws/o0r1r5q2/galley-mcp:latest ping -c 3 app.galleysolutions.com

# Test GraphQL endpoint manually
curl -X POST -H "Content-Type: application/json" \
  -H "X-API-KEY: your_key" \
  -d '{"query": "{ __schema { types { name } } }"}' \
  https://app.galleysolutions.com/graphql

# Check if introspection endpoint is different from operation endpoint
docker run -i \
  -e X_API_KEY="your_key" \
  -e INTROSPECT_ENDPOINT="https://staging-app.galleysolutions.com/graphql" \
  public.ecr.aws/o0r1r5q2/galley-mcp:latest

# Verify authentication method
# Try with Bearer token instead of X-API-KEY
docker run -i -e GALLEY_AUTH_TOKEN="your_token" public.ecr.aws/o0r1r5q2/galley-mcp:latest

Apollo MCP Server Issues

bash

# Verify Apollo MCP Server is installed correctly
docker run --rm public.ecr.aws/o0r1r5q2/galley-mcp:latest which apollo-mcp-server
docker run --rm public.ecr.aws/o0r1r5q2/galley-mcp:latest apollo-mcp-server --version

# Check if schema file exists after introspection
docker run --rm -e X_API_KEY="your_key" public.ecr.aws/o0r1r5q2/galley-mcp:latest ls -la /app/schema.graphql

Docker Issues

bash

# Check Docker is running
docker --version

# Pull latest base image
docker pull debian:bookworm-slim

# Rebuild without cache
docker build --no-cache -t galley-mcp .

Getting Help

1. Check startup logs: docker logs - Shows introspection and startup process

2. Verify authentication: Ensure your X-API-KEY or Bearer token is valid

3. Test endpoints: Confirm both introspection and operation endpoints are accessible

4. Check Docker: Make sure you're using the latest Docker version

5. Rebuild image: Try docker build --no-cache -t galley-mcp . to force fresh build

Common Success Indicators

When everything works correctly, you should see:

Silent Mode (MCP_DEBUG=false, default):

code

Error: Schema introspection failed. Server cannot start without valid schema.
(Only errors are shown)

Debug Mode (MCP_DEBUG=true):

code

Starting Apollo MCP Server with Galley configuration...
Endpoint: https://staging-app.galleysolutions.com/graphql
Operations directory: /app/operations
Graph reference: Galley-dtd1yd@current
Client name: galley-mcp-server@hostname
Debug mode: true
Running mandatory schema introspection...
Rover is available
Introspecting schema from: https://app.galleysolutions.com/graphql
Using X-API-KEY for introspection
Running: rover graph introspect https://app.galleysolutions.com/graphql --output /app/schema.graphql --log DEBUG --header X-API-KEY:your_key --header apollographql-client-name:galley-mcp-introspect@hostname
Schema introspection completed successfully!
Schema saved to: /app/schema.graphql
Schema file: XXXX lines, XXXkB
Schema introspection completed successfully, starting server...
Using X-API-KEY authentication

📄 License

[Your License Here]

🤝 Contributing

1. Fork the repository

2. Create a feature branch

3. Make your changes

4. Test thoroughly

5. Submit a pull request

---

For more information about the Model Context Protocol, visit https://modelcontextprotocol.io

Galley Mcp

Documentation

Galley MCP Server

🚀 Quick Start

Prerequisites

Build and Run

Pre-built Images

What Happens on Startup

Important: Interactive Mode Required

📋 Docker Installation

Linux (Ubuntu/Debian)

macOS

Option 1: Docker Desktop (Recommended)

Option 2: Homebrew

Windows

Option 1: Docker Desktop (Recommended)

Option 2: WSL2 + Docker (Advanced)

⚙️ Configuration

Environment Variables

Environment Modes

Production Mode (Default)

Staging Mode

Custom Endpoints

Debug Mode

Schema Introspection

Introspection Control

Mutation Control

Example Configurations

Production Setup (Read-only)

Production Setup (Explicit Mutations Only)

Development with Custom Operations and Debug

Staging Environment

🔌 MCP Client Integration

Claude Desktop

Cursor IDE

VS Code

🛠️ Development

Custom Operations

Schema Introspection

Built-in Tools

Debugging

📁 Project Structure

Key Components

🔄 CI/CD Pipeline

🚀 Release Workflow (release.yml)

🔧 Build Workflow (build-and-push.yml)

Available Docker Tags

Repository Setup

🔧 Troubleshooting

Common Issues

Authentication Errors

Schema Introspection Fails

Apollo MCP Server Issues

Docker Issues

Getting Help

Common Success Indicators

📄 License

🤝 Contributing

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🚀 Release Workflow (`release.yml`)

🔧 Build Workflow (`build-and-push.yml`)