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.
- Query runs, spec files, and individual test results from CI
- Surface error trends and performance metrics across your test suite
- Manage quarantine rules, webhooks, and project settings programmatically
- Let agents fix what's broken using actual test output, not guesswork
| 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 |
Keyed on a test: lists the executions of one test that an action applied to, within a date range, with the run, branch and commit of each. |
currents-get-action-executions |
Keyed on an action: lists the test executions one rule was applied to, across every test it touched, 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-link-jira-issue |
Link an existing Jira issue to 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 |
Use to fix tests that failed in CI: returns the errors, steps and files of the failed tests of a run, a spec file (instance) or one test — the same content as Fix in the Currents dashboard. |
currents-get-errors-explorer |
Get aggregated error metrics for a project within a date range. |
currents-get-test-evidence |
Collect evidence artifacts (screenshots, videos, traces, attachments) produced by tests in a CI run, with signed download URLs grouped per test. |
currents-create-evidence-links |
Create a shareable link to a test attempt's evidence, served from its Playwright trace, and the URLs onto it: a markdown digest of what the attempt did and what failed, a filmstrip, an animated screencast, DOM snapshots, network requests and attachments. |
currents-create-session |
Record a browser session you drove as a Currents run, so its evidence can be read and shared like a CI run's. |
currents-list-webhooks |
List all webhooks for a project. |
currents-create-share-link |
Create a public link to test results that anyone can open without signing in, until it expires. purpose "fix" is the failure context, for an agent that will fix the tests — the same content as currents-get-context, with flaky tests included and marked flaky. purpose "report" lists every test with its attempts and files, for a person. |
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. |
Agent skills that teach AI agents multi-step Currents workflows.
| Skill | Description |
|---|---|
browser-evidence |
Experimental. |
collect-evidence |
Show that work you implemented actually works, or demo it, from tests that ran in CI via Currents — a trace link whose digest, filmstrip and accessibility snapshots read inside a comment, plus screenshots, attachments and videos. |
fix-failing-tests |
Fix tests that failed in CI, using the results Currents recorded — errors, steps, traces, screenshots and console output. |
The server publishes every skill as an MCP resource, so a connected agent can list and read them without a local copy:
skill://currents/collect-evidence/SKILL.md
skill://currents/collect-evidence/references/instrumentation.md
Agents that load skills only from disk still need a copy — put the skill
directory in the agent's skills location (e.g. .claude/skills/ for Claude
Code).
Get a Currents API key by following the instructions here.
- Go to Cursor Settings > MCP > Enable
- Add the following to your
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/mcpAdd 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"
}
}
}
}In addition to the local stdio transport above, the same server can run as a hosted
Streamable HTTP endpoint (e.g. https://mcp.currents.dev/mcp) for use with remote
connectors such as the Claude web/mobile apps.
The hosted server performs no authentication of its own. Each request must carry your Currents API key as a Bearer token, which is passed through to the Currents API:
Authorization: Bearer <your-currents-api-key>
Example client config (remote connector):
{
"mcpServers": {
"currents": {
"url": "https://mcp.currents.dev/mcp",
"headers": {
"Authorization": "Bearer your-api-key"
}
}
}
}Running the HTTP server yourself:
# from the mcp-server package
npm run build && PORT=3000 npm run start:http
# or via Docker (serves /mcp, exposes the configured PORT)
docker build -t currents-mcp . && docker run -p 3000:3000 currents-mcpThe Node server speaks plain HTTP; TLS and the public domain terminate at the
reverse proxy / load balancer in front of the container. A GET /healthz endpoint
is provided for liveness checks.
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.