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Record and audit agent actions with signed, on-chain-verifiable provenance logs.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "three.ws Provenance" MCP server from askskill: Run: claude mcp add 'io-github-nirholas-provenance-mcp' -- npx -y @three-ws/provenance-mcp
Record each step this AI agent takes during the deployment workflow into three.ws Provenance, including timestamp, inputs, outputs, tools used, and signature data, then generate an auditable log summary.
A traceable agent action log with key steps, signature records, and an audit summary.
Check whether this set of agent action records is complete and untampered, verify signatures and on-chain verifiability with three.ws Provenance, and flag any anomalies.
A verification report stating whether the logs are trustworthy and listing missing, altered, or anomalous records.
Design an operational traceability scheme for our multi-agent system using three.ws Provenance, including log fields, signing flow, audit frequency, and alerting mechanisms.
An implementation plan for agent provenance covering logging, verification, and continuous auditing.
Analyze and describe images for AI agents through a vision pipeline.
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.
Query, hold, and burn $THREE tokens on Solana through MCP.
Use IBM Granite via x402 for chat, coding, embeddings, and forecasting.
Browse on-chain tasks, query agent registries, and link digital identities.
Set agent scopes and SOL caps, then propose, execute, and undo actions.
Create 3D avatars, embeds, and manage agent memory and on-chain identity.
Resolve .sol names and reverse-lookup wallets and handles for AI agents.
Check agent quotas, usage, invoices, receipts, and earnings in one place.
Equip AI agents with an x402 wallet to buy or sell services.