Enforce task acceptance and provenance tagging for auditable self-hosted MCP workflows.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.bg4ff8mtdn-dotcom/ownership-provenance-protocol" MCP server from askskill: Run: claude mcp add --transport http 'io-github-bg4ff8mtdn-dotcom-ownership-provenance-protocol' 'https://ownership-provenance-protocol.replit.app/mcp'
Enable ownership-provenance-protocol in my self-hosted MCP environment. Require all agents to explicitly accept tasks before execution and attach provenance tags to every tool call. Provide setup steps, key configuration points, and an example task flow.
Provides integration guidance, task acceptance rules, provenance tag configuration, and a practical example workflow.
I need to audit the chain of responsibility for multiple AI agents in one project. Using ownership-provenance-protocol, design a logging and tagging standard to track who accepted each task, who called each tool, and where every output came from.
Outputs auditable log fields, tag naming recommendations, and a responsibility tracing workflow.
Add mandatory task acceptance and provenance tagging to MCP workflows involving deployment or sensitive operations. Using ownership-provenance-protocol, explain how to block unaccepted tasks from running and preserve complete provenance records.
Gives control policies, blocking logic, and provenance record strategies for high-risk workflows.
Issue and verify Bitcoin-anchored EU AI Act transparency receipts for AI content.
Detects stalled agent loops and halts them with Byzantine fault-tolerant voting.
Add trust scoring, spending controls, and delegation auditing to MCP calls.
Automatically generate signed tamper-evident receipts for compliant, traceable tool calls.
Create Bitcoin-backed file timestamps and verify OpenTimeStamps proofs.
Generate signed, tamper-evident audit evidence for third-party MCP tool calls.