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The Currents MCP server provides AI agents with access to test results and CI metadata for debugging and optimization, using an API key for authentication.
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The Currents MCP server provides AI agents with access to test results and CI metadata for debugging and optimization, using an API key for authentication.
This MCP server offers valuable insights into test results but includes tools that can modify or delete data. It's relatively safe for read-only operations, but using write operations requires careful consideration of the potential impact and security of the API key.
Performance depends on the number of API calls made and the size of the data retrieved. Consider optimizing queries and caching data where appropriate.
Cost is primarily determined by the number of API calls made to the Currents platform. Monitor API usage to avoid unexpected charges.
npx -y{
"mcpServers": {
"currents": {
"command": "npx",
"args": ["-y", "@currents/mcp"],
"env": {
"CURRENTS_API_KEY": "your-api-key"
}
}
}
}currents-get-projectsRetrieves a list of projects from the Currents platform.
Read-only operation; no data modification.
currents-get-run-detailsRetrieves detailed information about a specific test run.
Read-only operation; no data modification.
currents-cancel-runCancels a test run that is currently in progress.
Stops the run and prevents further execution.
currents-delete-runDeletes a test run and all associated data.
Irreversible data loss.
currents-create-actionCreates a new action for a project.
Creates a new action, potentially triggering unwanted behavior.
currents-update-webhookUpdates an existing webhook.
Modifies existing webhook configuration, potentially disrupting integrations.
API Key
local
This MCP server offers valuable insights into test results but includes tools that can modify or delete data. It's relatively safe for read-only operations, but using write operations requires careful consideration of the potential impact and security of the API key.
AI agents have full access to the Currents API based on the provided API key, so careful permission management and agent vetting are crucial.
Production Tip
Implement robust error handling and monitoring in your AI agent to detect and respond to issues with the Currents API.
Follow the instructions in the Currents documentation to generate an API key.
AI agents can access test results, CI metadata, and project configurations within the Currents platform.
It is your responsibility to vet any AI agents or services you use, and to ensure they handle your data securely. Treat your API key like a password.
Currents API keys do not currently support granular permissions. Exercise caution when granting access to destructive operations.
Monitor API usage through the Currents platform's reporting and analytics features.
Immediately revoke the compromised API key and generate a new one.
No, this MCP server does not support a dry-run mode. Actions performed by the AI agent will be executed directly.