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

@vystartasv

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

14 native MCP tools for AI agent infrastructure — facts, pitfalls, skills, handoff protocols, trust scores, identity verification, SLA validation, compliance-as-code.

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

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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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Basic information

Category

AI & Agents

Author

vystartasv

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