three.ws Autopilot
io.github.nirholasPublished by GitHub account nirholasv0.2.2Updated Nov 1, 2026
Set autopilot scopes and a daily SOL spend cap, then propose, execute, and undo agent actions.
Overview
three.ws Autopilot lets an AI agent set its own guardrails and run a propose, execute and undo loop for autonomous actions, including real SOL transfers.
- What you can do
- Read and update autopilot guardrails: enabled state, capability scopes, auto-execute, daily SOL spend cap and confirmation policy
- Generate candidate actions from the agent's memories and reflections, then list, filter and adjust the proposal queue
- Preview a proposal's scope, cap and balance checks without acting, then execute or dismiss it
- Undo reversible executions and read the append-only signed receipts log of autonomous actions
- Compute the agent's earned trust level from its real action history
- When to use it
- For owners of three.ws agents who want the agent to manage its own execution boundaries and act autonomously within them, with server-side enforcement of scopes and spend limits. Useful when you need a reviewable propose-then-execute workflow with an audit trail.
- Requirements
- Node.js 20 or newer, run locally via npx or npm. A three.ws owner credential in THREE_WS_API_KEY (API key or OAuth access token). Network access to the three.ws API; THREE_WS_BASE and THREE_WS_TIMEOUT_MS are optional overrides.
Installation
In SourceWeft
- Open three.ws Autopilot in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
@three-ws/autopilot-mcp
An AI agent's own autonomous-execution control plane — set autopilot scopes, a daily SOL spend cap, and auto-execute, then run the propose → execute → undo loop, all from any MCP client.
[npm] [license] [node] [MCP Registry] [three.ws]
A Model Context Protocol server that gives an AI agent its own execution control plane over stdio. The agent configures the boundaries it is allowed to act within — capability scopes, a daily SOL spend ceiling, auto-execute and confirmation policy — then drives the full propose → review → execute → undo loop. No human in the loop, but every boundary is enforced server-side: an out-of-scope or over-budget action is denied, never executed.
This is the keystone of the autonomous-agent story. Autopilot config and execution used to live only behind the three.ws UI/API; this server exposes them so an agent can manage its own guardrails and act within them.
⚠️ This server is authenticated and write-heavy.
execute_proposalcan move real SOL on Solana mainnet and is irreversible. It sends native SOL only — the agent never sells or sends $THREE (it only buys, holds, or burns it). Scopes, the daily SOL spend cap, and confirmation are all enforced on the three.ws backend — this server cannot bypass them.
Install
Or run with npx (no install):
Quick start
Claude Code, one line (supply your three.ws credential):
Claude Desktop / Cursor (claude_desktop_config.json or mcp.json):
Inspect the surface with the MCP Inspector:
Authentication
Every autopilot endpoint is owner-only, so this server is authenticated. Set THREE_WS_API_KEY to the agent owner's three.ws credential — either a three.ws API key (sk_live_… / sk_test_…) or an OAuth access token. It is sent as Authorization: Bearer … on every request and identifies the owning user; the agent can only manage agents that user owns. The credential can authorize real SOL transfers via execute_proposal — store it like a password. THREE_WS_TOKEN and THREE_WS_BEARER are accepted as aliases.
Tools
The five read tools reflect live state (proposals, receipts, trust move between calls), so none are idempotent. set_autopilot_config and adjust_proposal are idempotent writes (re-applying the same values is a no-op). generate_proposals, execute_proposal, dismiss_proposal, and undo_action each take a real action.
Input parameters
Every tool takes agentId (the UUID of an agent you own) except list_autopilot_activity, where it is optional (omit to aggregate across all your agents).
get_autopilot_config/compute_trust/generate_proposals—agentId.set_autopilot_config:agentId, plus any of:enabled(bool),scopes({ create_alert?, briefing?, wallet_transfer?, trade? }),autoExecute({ create_alert?, briefing? }),dailySpendSol(number, SOL; 0 disables spending),requireConfirm(bool).list_proposals—agentId,status(pending|executed|dismissed|undone|failed),limit(1–200).dryrun_proposal/dismiss_proposal/undo_action—agentId,proposalId.adjust_proposal—agentId,proposalId,params(full replacement params for the proposal's kind).execute_proposal—agentId,proposalId,confirm(bool — required for an irreversible SOL transfer).list_autopilot_activity—agentId(optional),limit(1–200),cursor(from a priornext_cursor).
The loop
Spending real SOL requires the owner to have granted scopes.wallet_transfer, set a positive dailySpendSol, and (unless pre-authorized) execute_proposal must be re-issued with confirm:true. All three are checked server-side. A trade proposal (a buy with SOL or a sell of a non-$THREE token) needs scopes.trade and runs the same wallet guards as the wallet hub. Buys count against dailySpendSol. The agent spends SOL only, it never sells or sends $THREE; a $THREE sell is refused at proposal validation.
Requirements
- Node.js >= 20.
- A three.ws credential (
THREE_WS_API_KEY) for the agent owner. - Network access to
https://three.ws(or your ownTHREE_WS_BASE).
Environment variables
Links
- Homepage: https://three.ws
- Changelog: https://three.ws/changelog
- Issues: https://github.com/nirholas/three.ws/issues
- License: Apache-2.0, see LICENSE
Part of the three.ws SDK suite — 3D AI agents, on-chain identity, and agent payments.
Website · Changelog · GitHub
Source: packages/autopilot-mcp/README.md at commit 89050b3
Tools
0Version history
2- v0.2.2LatestOct 10, 2026
- v0.2.1Sep 16, 2026
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