wwa-mcp — Agent Infrastructure (14 tools, Trust Scores, Handoff…

What is wwa-mcp — Agent Infrastructure (14 tools, Trust Scores, Handoff Protocol)?

wwa-mcp provides 14 native MCP tools for AI agent infrastructure, including a handoff protocol, trust score calculation, and compliance validation. It integrates with the Works With Agents ecosystem to enable agent-to-agent knowledge sharing, identity verification, and SLA enforcement.

How to use wwa-mcp — Agent Infrastructure (14 tools, Trust Scores, Handoff Protocol)?

Install the package via pip install wwa-mcp, then add the JSON configuration to your MCP client (using python3.11 -m wwa_mcp.server) to expose all 14 tools.

Key features of wwa-mcp — Agent Infrastructure (14 tools, Trust Scores, Handoff Protocol)

• Query and manage a shared agent knowledge base
• Create, verify, and validate agent-to-agent handoffs
• Compute trust scores and verify Ed25519 signatures
• Validate agent behavior against SLA tiers and blueprints
• Search and list agent skill categories and failure patterns
• Perform Compliance-as-Code validation with built-in engines

Use cases of wwa-mcp — Agent Infrastructure (14 tools, Trust Scores, Handoff Protocol)

• Enable agents to share facts and avoid known pitfalls
• Orchestrate secure handoffs between autonomous agents
• Assess agent reliability through trust scores and identity checks
• Enforce operational policies via blueprint and compliance validation
• Build AI agent workflows that meet SLA and regulatory requirements

FAQ from wwa-mcp — Agent Infrastructure (14 tools, Trust Scores, Handoff Protocol)

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