Currents Mcp
What is Currents Mcp
Currents MCP is a server designed to connect AI agents with test results from Currents, enabling them to analyze and optimize failing tests in Continuous Integration (CI) environments.
Use cases
Use cases include automating the debugging of failing tests, optimizing test cases, and providing contextual information to AI agents for improved decision-making in CI processes.
How to use
To use currents-mcp, obtain a Currents API key and configure it in your project settings. You can integrate it with Cursor Editor or Claude Desktop by adding specific configurations to their respective JSON files.
Key features
Key features include tools for retrieving API configuration, run information, and instance details about attempts and errors, facilitating better context for AI agents.
Where to use
Currents MCP can be utilized in software development environments, particularly in CI/CD pipelines where automated testing and AI optimization are essential.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Currents Mcp
Currents MCP is a server designed to connect AI agents with test results from Currents, enabling them to analyze and optimize failing tests in Continuous Integration (CI) environments.
Use cases
Use cases include automating the debugging of failing tests, optimizing test cases, and providing contextual information to AI agents for improved decision-making in CI processes.
How to use
To use currents-mcp, obtain a Currents API key and configure it in your project settings. You can integrate it with Cursor Editor or Claude Desktop by adding specific configurations to their respective JSON files.
Key features
Key features include tools for retrieving API configuration, run information, and instance details about attempts and errors, facilitating better context for AI agents.
Where to use
Currents MCP can be utilized in software development environments, particularly in CI/CD pipelines where automated testing and AI optimization are essential.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Currents MCP Server
This is a MCP server that allows you to provide test results context to your AI agents by connecting them to Currents. Useful for asking AI to fix or optimize tests failing in CI.
Tools
get-api-config
- Get the API key and URL used to make requests to Currents API
get-run
- Get the run information by its ID
get-spec-file-attempts-and-errors
- Get the instance information about attempts and errors by its ID
Setup
API Key
Get a Currents API key by following the instructions here.
Usage with Cursor Editor
- Go to Cursor Settings > MCP > Enable
- Add the following to your
mcp.json.
NPX
{ "mcpServers": { "currents": { "command": "npx", "args": [ "-y", "@currents/mcp" ], "env": { "CURRENTS_API_KEY": "your-api-key" } } } }
Usage with Claude Desktop
Installing via Smithery
To install Currents Test Results Context Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @currents-dev/currents-mcp --client claude
Add the following to your claude_desktop_config.json:
NPX
{ "mcpServers": { "currents": { "command": "npx", "args": [ "-y", "@currents/mcp" ], "env": { "CURRENTS_API_KEY": "your-api-key" } } } }
⚠️ Notice
By connecting AI tools (e.g., via MCP) to Currents, you are granting them access to your API key, test results and CI metadata. It is your responsibility to vet any AI agents or services you use, and to ensure they handle your data securely.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
