Sauce Api MCP Server

Sauce Labs MCP Server

A Model Context Protocol (MCP) server that provides comprehensive integration with Sauce Labs testing platform. This package includes two complementary MCP servers enabling AI assistants (LLM clients) to interact with Sauce Labs' device cloud, manage test jobs, analyze builds, and monitor testing infrastructure directly through natural language conversations.

Servers

This package provides two separate MCP servers optimized for different use cases:

sauce-api-mcp (Core Server) - Full Sauce Labs API integration for account management, device discovery, job analysis, builds, storage, and tunnels.

sauce-api-mcp-rdc (RDC OpenAPI Server) - Real Device Cloud (RDC) focused server with automated OpenAPI schema discovery and optimized for mobile device testing workflows.

Both servers can be configured simultaneously in your LLM client for comprehensive Sauce Labs integration.

Features

🚀 Core Capabilities

• Account Management: View account details, team information, and user permissions
• Device Cloud Access: Browse 300+ real devices (iOS, Android) and virtual machines
• Test Job Management: Retrieve recent jobs, analyze test results, and debug failures
• Build Monitoring: Track build status, view job collections, and analyze test suites
• Storage Management: Manage uploaded apps and test artifacts
• Tunnel Monitoring: Check Sauce Connect tunnel status and configuration

🔧 Advanced Features

• Real-time Device Status: Monitor device availability and usage across data centers
• Cross-platform Testing: Support for both Virtual Device Cloud (VDC) and Real Device Cloud (RDC)
• Test Analytics: Detailed job information including logs, videos, and performance metrics
• Team Collaboration: Multi-team support with proper access controls
• RDC OpenAPI Integration: Dynamic API discovery for Real Device Cloud endpoints (sauce-api-mcp-rdc)

Prerequisites

• Python 3.10+
• pip
• Sauce Labs account with API access
• Gemini CLI, Claude Desktop, Goose, or other LLM Client

For Claude Desktop (Mac/Linux) or Gemini CLI

Install the package from PyPI:

pip install sauce-api-mcp

This will install both servers and make their command-line entry points available:

• sauce-api-mcp (core server)
• sauce-api-mcp-rdc (RDC OpenAPI server)

Verify installation:

which sauce-api-mcp
which sauce-api-mcp-rdc

Configuration for LLM Clients

Claude Desktop (Mac/Linux/Windows)

1. Locate your Claude Desktop 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. Find your Python installation's bin directory:

   python3 -c "import sys; print(sys.prefix + '/bin')"
   

   On macOS with system Python, this is typically:

   /Library/Frameworks/Python.framework/Versions/3.12/bin
   

3. Add both servers to your config using the full paths from step 2:

   {
     "mcpServers": {
       "sauce-api-mcp-core": {
         "command": "/path/to/bin/sauce-api-mcp",
         "env": {
           "SAUCE_USERNAME": "your-sauce-username",
           "SAUCE_ACCESS_KEY": "your-sauce-access-key"
         }
       },
       "sauce-api-mcp-rdc": {
         "command": "/path/to/bin/sauce-api-mcp-rdc",
         "env": {
           "SAUCE_USERNAME": "your-sauce-username",
           "SAUCE_ACCESS_KEY": "your-sauce-access-key"
         }
       }
     }
   }
   

4. Restart the client to load the servers.

Gemini CLI

Add to ~/.gemini/settings.json:

{
  "mcpServers": {
    "sauce-api-mcp-core": {
      "command": "/path/to/bin/sauce-api-mcp",
      "env": {
        "SAUCE_USERNAME": "your-sauce-username",
        "SAUCE_ACCESS_KEY": "your-sauce-access-key"
      }
    }
  }
}

Goose

Add to ~/.config/goose/config.yaml:

sauce-api-mcp-core:
  cmd: /path/to/bin/sauce-api-mcp
  description: Sauce Labs MCP (Core)
  enabled: true
  envs:
    SAUCE_USERNAME: your-sauce-username
    SAUCE_ACCESS_KEY: your-sauce-access-key
  type: stdio

sauce-api-mcp-rdc:
  cmd: /path/to/bin/sauce-api-mcp-rdc
  description: Sauce Labs MCP (RDC)
  enabled: true
  envs:
    SAUCE_USERNAME: your-sauce-username
    SAUCE_ACCESS_KEY: your-sauce-access-key
  type: stdio

Environment Variables (Alternative)

Instead of adding credentials to config files, you can set them as environment variables:

export SAUCE_USERNAME="your-sauce-username"
export SAUCE_ACCESS_KEY="your-sauce-access-key"

Then omit the env block from your config. Both servers will automatically use these environment variables.

Troubleshooting Installation

"Command not found: sauce-api-mcp"

The entry point script isn't in your PATH. Verify installation and use the full path approach above:

python3 -m pip list | grep sauce-api-mcp
python3 -c "import sys; print(sys.prefix + '/bin/sauce-api-mcp')"

"ENOENT: no such file or directory" in MCP client

The MCP client is using a different Python environment than where you installed the package. Solutions:

1. Use full absolute path (recommended): Update your config to use the complete path shown by python3 -c "import sys; print(sys.prefix + '/bin/sauce-api-mcp')", not just which sauce-api-mcp

2. Install in system Python: If you're using a specific Python installation, ensure pip install uses that same Python

3. Alternative: Module invocation (less reliable):

   "command": "python3",
   "args": ["-m", "sauce_api_mcp.main"]
   

Development Setup

Prerequisites

• Python 3.10+
• uv package manager (install uv)
• Git

Clone and Setup

git clone https://github.com/saucelabs/sauce-api-mcp.git
cd sauce-api-mcp
uv sync

This creates a virtual environment and installs all dependencies in editable mode.

Project Structure

sauce-api-mcp/
├── src/sauce_api_mcp/
│   ├── __init__.py
│   ├── main.py              # Core server entry point
│   ├── rdc_openapi.py       # RDC OpenAPI server entry point
│   └── shared/              # Shared utilities
├── pyproject.toml           # Package configuration & entry points
├── uv.lock                  # Locked dependencies
└── README.md

Entry Points

The pyproject.toml defines two console scripts:

[project.scripts]
sauce-api-mcp = "sauce_api_mcp.main:main"
sauce-api-mcp-rdc = "sauce_api_mcp.rdc_openapi:main"

When you run uv sync, these become available as commands in the virtual environment.

Development Workflow

1. Activate the virtual environment (optional, uv commands work without it):

   source .venv/bin/activate  # On Windows: .venv\Scripts\activate
   

2. Run the servers locally (for testing):

   uv run sauce-api-mcp
   uv run sauce-api-mcp-rdc
   

   Both will output: Error: This server is not meant to be run interactively — this is correct behavior (they're meant to be called by MCP clients).

3. Run with environment variables:

   SAUCE_USERNAME=user SAUCE_ACCESS_KEY=key uv run sauce-api-mcp
   

4. Test with your MCP client:

   {
     "command": "/path/to/sauce-api-mcp/.venv/bin/sauce-api-mcp"
   }
   

Running Tests

uv run pytest
uv run pytest -v  # Verbose
uv run pytest src/sauce_api_mcp/tests/test_main.py  # Specific test

Adding Dependencies

uv add httpx
uv add --dev pytest-asyncio

Now you can ask questions like:

• "Show me my recent test failures"
• "Find available iPhone devices for testing"
• "Analyze the performance of my latest build"

Configuration

Required Environment Variables

• SAUCE_USERNAME: Your Sauce Labs username
• SAUCE_ACCESS_KEY: Your Sauce Labs access key (found in Account Settings)

Optional Configuration

• SAUCE_REGION: Sauce Labs data center region (default: us-west-1)

Getting Your Sauce Labs Credentials

1. Log into your Sauce Labs account
2. Navigate to Account → User Settings
3. Copy your Username and Access Key
4. Add these to your Claude Desktop configuration (or set as environment variables)

Available Tools

Account & Organization

• get_account_info - Retrieve current user account information
• lookup_users - Find users in your organization
• get_user - Get detailed user information
• lookup_teams - Find teams in your organization
• get_team - Get team details and member information
• list_team_members - List all members of a specific team

Device Management

• get_devices_status - List all available devices and their status
• get_specific_device - Get detailed information about a specific device
• get_private_devices - List private devices available to your account

Test Jobs

• get_recent_jobs - Retrieve your most recent test jobs
• get_job_details - Get comprehensive details about a specific job
• get_real_device_jobs - List active jobs on real devices
• get_specific_real_device_job - Get details about a specific real device job
• get_specific_real_device_job_asset - Download job assets (logs, videos, screenshots)

Builds

• lookup_builds - Search for builds with various filters
• get_build - Get detailed information about a specific build
• lookup_jobs_in_build - List all jobs within a specific build

Storage

• get_storage_files - List uploaded application files
• get_storage_groups - List app storage groups
• get_storage_groups_settings - Get settings for specific storage groups

Tunnels

• get_tunnels_for_user - List active Sauce Connect tunnels
• get_tunnel_information - Get details about a specific tunnel
• get_current_jobs_for_tunnel - See jobs using a specific tunnel

Test Assets

• get_test_assets - Retrieve test artifacts (logs, videos, screenshots)
• get_log_json_file - Get structured test execution logs

Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

Troubleshooting

"MCP server not found"

Ensure the path to the MCP server executable is correct in your config file. For full paths, run:

python3 -c "import sys; print(sys.prefix + '/bin')"

Verify Python is installed and accessible. Check that all dependencies are installed:

python3 -m pip list | grep sauce-api-mcp

"Authentication failed"

Verify your SAUCE_USERNAME and SAUCE_ACCESS_KEY are correct. Ensure credentials have proper permissions for the requested operations. Check that your Sauce Labs account is active.

"No devices found"

Verify your account has access to the device cloud. Check your team's device allocation settings. Ensure you're querying the correct data center region (set SAUCE_REGION if needed).

"Job not found"

Verify the job ID is correct and belongs to your account. Check if the job is from VDC vs RDC (different endpoints). Ensure the job hasn't expired due to retention policies.

Getting Help

• Sauce Labs Documentation: docs.saucelabs.com
• API Reference: docs.saucelabs.com/dev/api
• Support: Contact Sauce Labs support through your account dashboard
• GitHub Issues: Report bugs or request features

License

Apache 2.0 (versions 1.1.0+)

Note: Versions prior to 1.0.3 were released under MIT License.

Roadmap

This roadmap outlines our vision and priorities for the project. It's a living document, and we welcome feedback and contributions from the community! While we aim to follow this plan, priorities can change based on user feedback and new opportunities.

Short-Term (Next 1-3 Months)

Resources & Tools - Optimizing Model Calls

• Implement Resources comprehensively for model responses
• Reduce latency and cost by returning cached results instead of new API calls
• Auto-converting linux time stamps to de-risk incorrect LLM conversions
• Status: Planning

Mid-Term (3-6 Months)

• Add new API endpoints as Sauce Labs platform evolves
• Improve overall interaction with LLM clients
• Maintain alignment with Sauce Labs API updates
• Add support for new Sauce Labs product lines

Changelog

v1.1.0

• Merged sauce-api-mcp and sauce-labs-mcp (RDC OpenAPI) into single monorepo package
• Added sauce-api-mcp-rdc entry point for RDC-focused server
• Updated to use full Python entry points instead of launcher scripts
• Improved installation and configuration documentation
• Locked dependencies with uv.lock for reproducible installs

v1.0.3

• Updated to use Apache License 2.0 (previously MIT)
• Minor README improvements

v1.0.2

• Submitted to official MCP Registry
• Added Python 3.9 support

v1.0.1

• Overhauled and updated README with better install instructions

v1.0.0

• Initial release with full Sauce Labs API integration
• Support for VDC and RDC platforms
• Comprehensive device management
• Advanced job analysis and build monitoring
• Cross-platform Claude Desktop support

Made with ❤️ for the testing community

Disclaimer of Warranties

THIS SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Limitation of Liability

IN NO EVENT SHALL SAUCE LABS, INC. BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

General Use

The MCP Server is provided as a free and open-source tool to facilitate interaction with publicly available APIs. Users are free to modify and distribute the software under the terms of the Apache License 2.0.

By using this software, you acknowledge that you are doing so at your own risk and that you are responsible for your own compliance with all applicable laws and regulations.

Indemnification

You agree to indemnify and hold harmless Sauce Labs, inc. ("Sauce Labs"), its officers, directors, employees, and agents from and against any and all claims, liabilities, damages, losses, or expenses, including reasonable attorneys' fees and costs, arising out of or in any way connected with your access to or use of this software.

This includes, but is not limited to:

• Your Interaction with Third-Party LLM Providers: You acknowledge that this software utilizes publicly available APIs for interaction with a Large Language Model (LLM). You are solely responsible for your use of any third-party LLM services, including your adherence to the terms and conditions of the LLM provider and any costs associated with your use, such as token fees. Sauce Labs has no control over, and assumes no responsibility for, the content, privacy policies, or practices of any third-party LLM providers.

• Content Generated by the LLM: You are solely responsible for the content generated, received, or transmitted through your use of the MCP Server and the underlying LLM. Sauce Labs does not endorse and has no control over the content of communications made by you or any third party through the server.

• Your Code and Modifications: Any modifications, enhancements, or derivative works you create based on the MCP Server are your own, and you are solely responsible for their performance and any liabilities that may arise from their use.