AgentAvow/AgentAvow

Overview

Provides signed, verifiable safety grades for the tools your AI agents connect to. Built in Python, it offers a way to assess and verify the safety of third-party integrations before use.

Best for

Best for
Developers building AI agents who want a verifiable safety signal for their tool integrations.

Use cases

• Audit tools before connecting them to an AI agent
• Verify safety grades for third-party integrations
• Track the safety posture of agent dependencies

How to use

Install

pip install agentavow-trust

Tested with

Claude Code, Cursor, VS Code

Example client config

{ "mcpServers": { "agentavow": { "url": "https://agentavow.com/mcp" } } }

Notes

Provides signed, verifiable safety grades for the tools your AI agents connect to. Built in Python, it offers a way to assess and verify the safety of third-party integrations before use.

4 stars on GitHub. Last updated 2026-09-18.

Use cases

• Audit tools before connecting them to an AI agent
• Verify safety grades for third-party integrations
• Track the safety posture of agent dependencies

Pros

• Open source and auditable
• Signed grades provide a tamper-evident safety signal
• Simple Python-based tooling

Cons

• Very low star count suggests limited adoption
• No clear documentation or usage examples in the available facts
• Vendor listed as ‘Various’ indicates no dedicated maintainer

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.