run_taskRun a coding task: write code, fix bugs, add features, refactor. The AI agent clones the repo, makes changes, and opens a PR. Returns the result and P
review_prReview a GitHub pull request. Returns structured feedback with issues, verdict, and suggestions. Optionally posts review comments directly to GitHub.
ask_codebaseAsk a question about any GitHub repository
generate_testsGenerate tests for a specific file in a GitHub repository. Creates test files and opens a PR with them.
security_scanRun a security and dependency scan on one or more GitHub repositories. Checks for vulnerabilities, secret exposure, and security anti-patterns.
list_sessionsList recent agent sessions with status, cost, duration, and PR URLs. Use to check on past or running tasks.
list_playbooksList available playbooks — reusable workflow templates for common engineering tasks like bug triage, security remediation, test coverage, docs sync, a
run_playbookRun a playbook (reusable workflow template) against a repository. Use list_playbooks to see available options. Built-in playbooks include: bug-triage,
get_usageGet usage statistics: total sessions, cost, estimated time saved, breakdowns by source, repo, and user. Useful for tracking ROI.
We re-grade npm:mcp-server-cloud-agent on a schedule and alert your Slack/webhook the moment its tools change or its grade drops — rug-pull insurance for the connection.
Add the wmcp.sh trust oracle as an MCP server and call grade_mcp_server / check_mcp_drift in your agent's pre-connection gate:
https://wmcp.sh/mcp/trust
readOnly vs observed behavior) layer on via the wmcp.sh proxy.