Currents MCP
The Currents MCP Server is a service that provides test result context for AI agents, helping to analyze and optimize failed tests in CI by connecting to the Currents platform.
rating : 2.5 points
downloads : 12
What is the Currents MCP Server?
The Currents MCP Server is an intermediate service based on the Model Context Protocol. It serves as a bridge between AI agents and the Currents testing platform, allowing AI to obtain and analyze test result data in the CI/CD pipeline. Through this service, AI can understand the reasons for test failures and provide repair suggestions.How to use the Currents MCP Server?
The usage process is divided into three simple steps: 1) Obtain the Currents API key. 2) Add MCP server settings to the editor configuration file. 3) Query test data through the AI agent.Use cases
It is particularly suitable for scenarios where development teams want to leverage AI capabilities to automatically analyze CI test failures, optimize test suites, or generate test reports.Main features
API configuration retrievalRetrieve the configuration information of the Currents API, including the API key and endpoint URL.
Test run information queryObtain the complete test run data and status through the run ID.
Test error analysisGet multiple attempt records and error details of a specific test file.
Advantages and limitations
Advantages
Simplify the integration of AI agents with the testing platform.
Provide a standardized test data access interface.
Support integration with multiple editors (Cursor, Claude, etc.).
Limitations
Requires a Currents account and API key.
Currently only supports the Currents platform.
Requires basic configuration knowledge.
How to use
Obtain the API key
Obtain the API key according to the Currents documentation.
Configure the editor
Add MCP server configuration to the Cursor or Claude editor.
Initiate a query
Query test data through the AI agent using the provided tools.
Usage examples
Analyze failed CI testsWhen a test in the CI pipeline fails, AI can obtain detailed error information through the MCP server, analyze the reasons, and provide repair suggestions.
Optimize the test suiteBy analyzing multiple test run data, AI can identify tests with long execution times and propose optimization suggestions.
Frequently asked questions
How to obtain the Currents API key?
Which editors are supported for integration?
How is data security ensured?
Related resources
Currents official documentation
Complete documentation for the Currents platform.
MCP protocol specification
Official specification of the Model Context Protocol.
Example configuration repository
Contains configuration examples for various editors.
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