Currents MCP
C

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.
2.5 points
6.7K

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 retrieval
Retrieve the configuration information of the Currents API, including the API key and endpoint URL.
Test run information query
Obtain the complete test run data and status through the run ID.
Test error analysis
Get multiple attempt records and error details of a specific test file.
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 tests
When 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 suite
By 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.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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