AgentBond
Authorization and governance infrastructure for AI agents. 17 MCP tools for token authorization, intent proof, contract management, action evaluation, and audit logging. **Key Features:** - Token-based authorization with scope, budget, and expiry controls - Hierarchical delegation (parent → child token chains) - Intent proof layer — record and verify why agents act - Inter-agent contracts with lifecycle management - Built-in audit trail for all governance decisions **Use Cases:** - Multi-agent systems requiring fine-grained access control - Budget-constrained agent operations - Auditable AI agent governance - Inter-agent agreements and deliverable tracking
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- Smithery
- Repository
- github.com/wharfe/agentbond
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve AgentBond from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.