Connects AI coding agents to Currents for CI test diagnosis, run management, metrics, Jira issues, and test actions.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
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💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Currents MCP.
currents-list-actionsList all actions for a project with optional filtering.
currents-create-actionCreate a new action for a project.
currents-get-actionGet a single action by ID.
currents-update-actionUpdate an existing action.
currents-delete-actionDelete (archive) an action.
currents-enable-actionEnable a disabled action.
The currents-dev/currents-mcp MCP server exposes Currents dashboard and CI test data to MCP-compatible coding agents. It is aimed at diagnosing Playwright test failures using recorded execution data rather than inferred results. Agents can inspect runs, spec instances, test results, failure context, error aggregates, historical performance, and test evidence such as screenshots, videos, traces, and attachments.
The server also supports operational workflows around Currents projects. Agents can create, update, enable, disable, and archive actions such as quarantine, skip, or tag rules. They can manage project webhooks, inspect pull-request cards, retrieve project terms, and create or link Jira issues through the organization’s Jira integration.
MCP clients invoke named Currents tools, with each tool handling a focused query or mutation. Read operations cover projects, runs, individual executions, test signatures, affected tests, errors, performance, and evidence. Date-range and filtering options are available for several project and execution queries.
Run operations include finding runs, retrieving run details, cancelling an in-progress run, resetting failed spec files for re-execution, deleting runs, and cancelling a run through a GitHub Actions workflow run ID and attempt number. Test debugging can be narrowed to a run, instance, or test level through failure-context retrieval.
Jira operations use the organization’s existing Jira integration. The available tools can list Jira projects and issue types, create an issue from a run test, or link an existing issue to one. Evidence retrieval returns signed download URLs grouped by test, according to the README.
Install currents-dev/currents-mcp MCP server with the project’s documented command:
Configure the CURRENTS_API_KEY environment variable with a Currents API key. The repository’s Cursor installation configuration passes this variable to the server. The supplied material does not document additional environment variables, authentication scopes, or account setup steps.
The README identifies Cursor and Claude as supported agent integrations. It does not provide client-specific configuration details beyond the Cursor installation link and environment-variable example.
The documented tool groups include:
The currents-dev/currents-mcp MCP server depends on access to Currents data and a configured API key. The provided material does not state whether Currents accounts or particular features require payment. It also does not document permissions, rate limits, retention, webhook payloads, or the exact schemas for tool arguments and responses.
Actions that change or remove data include updating, disabling, archiving, cancelling, resetting, deleting, and creating resources. Review agent permissions before enabling these operations in an automated workflow. Jira tools likewise depend on an organization Jira integration being available.
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