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Currents MCP Server
Give your AI coding agents full visibility into your CI test results. The Currents MCP Server connects tools like Cursor and Claude directly to your Currents dashboard, so agents can diagnose flaky tests, pinpoint failures, and act on real execution data -- without leaving your editor.
| Tool | Description |
|---|---|
currents-list-actions | List all actions for a project with optional filtering. |
currents-create-action | Create a new action for a project. |
currents-get-action | Get a single action by ID. |
currents-update-action | Update an existing action. |
currents-delete-action | Delete (archive) an action. |
currents-enable-action | Enable a disabled action. |
currents-disable-action | Disable an active action. |
currents-list-affected-tests | List tests affected by actions (quarantine, skip, tag) for a project within a date range. |
currents-get-affected-test-executions | Get execution details for a specific affected test (by signature) within a date range. |
currents-get-affected-executions | List test executions where a specific action/rule was applied, within a date range. |
currents-get-projects | Retrieves projects available in the Currents platform. |
currents-get-project | Get a single project by ID. |
currents-get-project-insights | Get aggregated run and test metrics for a project within a date range. |
currents-list-pull-requests | List pull-request cards for a project (runs grouped by meta.pr.id). |
currents-list-project-terms | List cursor-paginated project terms for one type (tag, branch, authorName, etc.). |
currents-create-jira-issue | Create a Jira issue from a run test using the organization Jira integration. |
currents-list-jira-projects | List Jira projects available for the organization integration. |
currents-list-jira-issue-types | List Jira issue types and custom fields for a Jira project. |
currents-get-runs | Retrieves a list of runs for a specific project with optional filtering. |
currents-get-run-details | Retrieves details of a specific test run. |
currents-find-run | Find a run by query parameters. |
currents-cancel-run | Cancel a run in progress. |
currents-reset-run | Reset failed spec files in a run to allow re-execution. |
currents-delete-run | Delete a run and all associated data. |
currents-cancel-run-github-ci | Cancel a run by GitHub Actions workflow run ID and attempt number. |
currents-get-spec-instance | Retrieves debugging data from a specific execution of a test spec file by instanceId. |
currents-get-spec-files-performance | Retrieves spec files performance metrics for a specific project within a date range. |
currents-get-tests-performance | Retrieves aggregated test metrics for a specific project within a date range. |
currents-get-tests-signatures | Generates a unique test signature based on project, spec file path, and test title. |
currents-get-test-results | Retrieves historical test execution results for a specific test signature. |
currents-get-context | Get test failure context for AI debugging at run, instance, or test level. |
currents-get-errors-explorer | Get aggregated error metrics for a project within a date range. |
currents-list-webhooks | List all webhooks for a project. |
currents-create-webhook | Create a new webhook for a project. |
currents-get-webhook | Get a single webhook by ID. |
currents-update-webhook | Update an existing webhook. |
currents-delete-webhook | Delete a webhook. |
Get a Currents API key by following the instructions here.
mcp.json.{
"mcpServers": {
"currents": {
"command": "npx",
"args": ["-y", "@currents/mcp"],
"env": {
"CURRENTS_API_KEY": "your-api-key"
}
}
}
}
Run this command to add Currents MCP to Claude Code
claude mcp add --transport stdio currents --env CURRENTS_API_KEY=<KEY> -- npx -y @currents/mcp
Add the following to enable Currents MCP on Claude Desktop (edit claude_desktop_config.json file):
{
"mcpServers": {
"currents": {
"command": "npx",
"args": ["-y", "@currents/mcp"],
"env": {
"CURRENTS_API_KEY": "your-api-key"
}
}
}
}
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.
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