wwa-mcp — Agent Infrastructure (14 tools, Trust Scores, Handoff Protocol)
@vystartasv
About wwa-mcp — Agent Infrastructure (14 tools, Trust Scores, Handoff Protocol)
14 native MCP tools for AI agent infrastructure — facts, pitfalls, skills, handoff protocols, trust scores, identity verification, SLA validation, compliance-as-code.
Basic information
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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Overview
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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