Enables searching for tests linked to Jira issues using issue keys like 'JIRA-123' or 'PROJ-456', allowing integration between Testomat.io test management and Jira issue tracking.
Requires Node.js 18 or higher with built-in fetch support for running the MCP server, enabling the connection between Testomat.io and AI assistants.
Supports installation and execution via npm or npx, allowing easy deployment of the Testomat.io MCP server.
Provides semantic XML formatting for LLM processing, supporting the structured data exchange between Testomat.io and AI assistants.
Testomat.io MCP Server
A Model Context Protocol (MCP) server for Testomat.io API integration with AI assistants like Cursor.
Installation
Prerequisites
- Node.js 18 or higher (with built-in fetch support)
- npm or yarn package manager
- Testomat.io account with API access
Install via npm
Or run directly with npx
Usage
Command Line Options
The MCP server can be started using command line arguments or environment variables:
Using Command Line Arguments
Using Environment Variables
Getting Your API Token
- Go to Testomat.io
- Navigate to user tokens https://app.testomat.io/account/access_tokens
- Create and copy General API token (starts with
testomat_
)
Getting Your Project ID
Your project ID can be found in the URL when you're viewing your project:
Integration with Cursor
To use this MCP server with Cursor, add the following configuration to your Cursor settings:
Option 1: Using npx (Recommended)
Add this to your Cursor MCP settings (cursor-settings.json
or through the Cursor settings UI):
Option 2: Using Environment Variables
First, set your environment variables in your shell profile (.bashrc
, .zshrc
, etc.):
Then add this to your Cursor MCP settings:
Option 3: Global Installation
If you've installed the package globally:
Features
Tools
Tests
get_tests
– Get all tests (params:plan
,query
,state
,suite_id
,tag
,labels
) — api: GET/tests
search_tests
– Search tests (params:query
,tql
,labels
,state
,priority
,filter
,page
) — api: GET/tests
Test Suites
search_suites
– Search suites (params:query
,labels
,state
,priority
,page
) — api: GET/suites
get_root_suites
– List root-level suites (no params) — api: GET/suites
get_suite
– Get one suite (params:suite_id
) — api: GET/suites/{suite_id}
Test Runs
get_runs
– List all runs (no params) — api: GET/runs
get_run
– Get one run (params:run_id
,tree
) — api: GET/runs/{run_id}
get_testruns
– Runs for a test (params:test_id
,finished_at_date_range
) — api: GET/testruns
Test Plans
get_plans
– List all plans (params:detail
,labels
,page
) — api: GET/plans
get_plan
– Get one plan (params:plan_id
) — api: GET/plans/{plan_id}
Example Usage in Cursor
Once configured, you can ask your AI assistant questions like:
- "Show me all the tests in the project"
- "Get the test runs for test ID abc123"
- "What are the root suites in this project?"
- "Show me details for test run xyz789"
- "List all automated tests with the @smoke tag"
- "Get all test plans for this project"
Query Patterns
Basic Information Queries
These queries retrieve general information without specific filtering:
- "Show me all the tests in the project" →
get_tests
tool - "What are the root suites in this project?" →
get_root_suites
tool - "Get all test runs" →
get_runs
tool - "Get all test plans for this project" →
get_plans
tool
Specific Item Queries
These queries target specific entities by ID:
- "Get test runs for test ID abc123" →
get_testruns
tool withtest_id: "abc123"
- "Show me details for test run xyz789" →
get_run
tool withrun_id: "xyz789"
- "Get suite details for suite-456" →
get_suite
tool withsuite_id: "suite-456"
Search and Filter Queries
These queries use advanced filtering capabilities:
- "List all automated tests with the @smoke tag" →
search_tests
tool withquery: "@smoke"
,state: "automated"
- "Find tests with priority high" →
search_tests
tool withpriority: "high"
- "Search for tests containing 'login'" →
search_tests
tool withquery: "login"
- "List tests tagged @critical or labelled 'ux' with high priority" →
search_tests
tool withtql: "tag == 'critical' or label == 'ux' and priority == 'high'"
- "Find tests linked to JIRA-123" →
search_tests
tool withtql: jira == 'BDCP-2'
Advanced Query Syntax
Test Query Language (TQL)
The search_tests
tool supports TQL for complex filtering:
Tag-Based Searches
Tags can be searched using the @
prefix:
Jira Integration
Tests linked to Jira issues can be found using issue keys:
Troubleshooting
Common Issues
- "API token is required" error
- Make sure your token starts with
testomat_
- Verify the token is correct in your Testomat.io project settings
- Make sure your token starts with
- "Project ID is required" error
- Check that you're passing the correct project ID
- Verify the project ID exists and you have access to it
- Connection errors
- Ensure you have internet connectivity
- Check if your firewall allows connections to
app.testomat.io
- Verify your API token has the necessary permissions
- MCP server not starting in Cursor
- Check Cursor's MCP logs for error messages
- Ensure Node.js 18+ is installed and accessible
- Try running the command manually first to test
Debug Mode
To see detailed logs when running the server:
API Reference
For detailed information about the underlying Testomat.io API, refer to the Testomat.io API Documentation.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Support
For support, please:
- Check the Testomat.io Documentation
- Open an issue on GitHub
- Contact Testomat.io support
Changelog
v1.0.0
- Initial release
- Support for all major Testomat.io API endpoints
- MCP-compatible tool interface
- Semantic XML formatting for LLM processing
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A Model Context Protocol server that enables AI assistants like Cursor to interact with Testomatio test management platform, allowing users to query test cases, runs, and plans through natural language.
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