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Inspect Tidebase runs, resolve approvals, and trigger recovery from your AI assistant.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.BlueprintLabIO/tidebase" MCP server from askskill: Run: claude mcp add 'io-github-blueprintlabio-tidebase' -- npx -y @tidebase/mcp
Check the most recent failed Tidebase agent run and summarize the failure cause, key logs, and recommended next steps.
A summary of the failed run, key error details, and actionable recovery recommendations.
List Tidebase runs currently waiting for approval and approve the one related to the release workflow, then explain the impact.
A list of pending approvals, the approval result taken, and the resulting run status update.
Trigger recovery for the interrupted Tidebase agent run and tell me whether recovery succeeded and which stage it resumed from.
The recovery result, current run stage, and any follow-up items that still need attention.
Let AI agents search, read, and update a self-hosted Markdown team wiki.
Discover, verify, and assess AI agents before making transactions.
Diagnose AI workflow nodes for failure, security, and handoff risks.
Manage Twitch raid-train slots with AI, including claim, release, and trades.
Enable AI agents to send messages, read history, and collaborate in public chat.
Run and debug Linux containers with Apple's native container tooling.