$ loading_
Set agent scopes and SOL caps, then propose, execute, and undo actions.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "three.ws Autopilot" MCP server from askskill: Run: claude mcp add 'io-github-nirholas-autopilot-mcp' -- npx -y @three-ws/autopilot-mcp
Configure three.ws Autopilot with these rules: only allow on-chain actions within the specified project scope; set a daily SOL spend cap of 2 SOL; require proposal and approval before any high-risk action.
A clear autopilot policy configuration including scope, daily spend limit, and approval rules.
Based on the current task, first list the actions the agent plans to take, including estimated SOL cost and risk notes; do not execute anything until I confirm.
A proposed action list with cost and risk estimates for user approval.
Undo the most recent action the agent just executed, and report the undo result, affected resources, and any additional SOL cost.
A report describing the undo result, impact scope, and any related costs.
Explore pump.fun and Solana data for token discovery and on-chain analysis.
Browse on-chain tasks, query agent registries, and link digital identities.
Use IBM Granite via x402 for chat, coding, embeddings, and forecasting.
Browse community 3D creations, fetch viewer links, and submit selected works.
Generate speech, transcription, lipsync, and mocap clips for 3D agents.
Configure and simulate pump.fun sniping strategies with position management.
Check agent quotas, usage, invoices, receipts, and earnings in one place.
Equip AI agents with an x402 wallet to buy or sell services.
Create 3D avatars, embeds, and manage agent memory and on-chain identity.
Generate 3D assets, rig models, and check agent reputation and market intel.
Resolve .sol names and reverse-lookup wallets and handles for AI agents.
Analyze a tracked wallet’s P&L and trades for a specific token.