MCP server
AgentAvow Trust Official
com.agentavow/agentavow-trust
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Signed, offline-verifiable safety scores for the MCP servers, packages & tools an agent connects to
Working at last checkVerified publisher: agentavow.comAbout 1,545 tokens per request once connected8 tools
https://agentavow.com/mcp
At a glance
- Type
- MCP server
- Publisher
- agentavow.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 8
- Token cost
- About 1,545 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http agentavow-trust https://agentavow.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.agentavow-trust] url = "https://agentavow.com/mcp"
Gemini CLI
{"mcpServers":{"agentavow-trust":{"httpUrl":"https://agentavow.com/mcp"}}}
Cursor
{"mcpServers":{"agentavow-trust":{"url":"https://agentavow.com/mcp"}}}
VS Code
{"servers":{"agentavow-trust":{"type":"http","url":"https://agentavow.com/mcp"}}}
Antigravity
agy mcp add agentavow-trust https://agentavow.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"agentavow-trust","server_url":"https://agentavow.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"agentavow-trust","server_url":"https://agentavow.com/mcp"}
Tools
about_agentavow~72 tokens
What AgentAvow is, which tool to use for what, how to read a verdict, and example scans. Call this for an overview or when getting started. No input, read-only.check_interaction_safety~172 tokens
Check whether it is safe to interact with another agent by trust threshold. Thresholds: delegate 0.6, trade 0.5, collaborate 0.4, follow 0.1. Returns is_safe, risk_level, the score, and a recommendation. Read-only, no auth.get_trust_badge~119 tokens
Get an embeddable AgentAvow trust badge (SVG) for an entity, with ready-to-paste Markdown and HTML. The badge auto-updates as the score changes. Read-only, no auth.lookup_identity~122 tokens
Look up an AgentAvow entity by W3C DID or display name. Returns the entity's id, name, type, trust score and tier. Read-only, no auth. Use to resolve an identity before checking its trust.scan_mcp_server~202 tokens
Scan a live MCP server's tool definitions for tool-poisoning, prompt-injection, invisible-unicode, and manifest-execution risks before your agent connects to it. Returns one of three answers with its reason (Safe to connect, Review before you connect, or Do not connect), a 0-100 trust score, findingscan_package~416 tokens
Scan a published package (npm, PyPI, crates, Docker, or Hugging Face) with AgentAvow. Returns one of three answers with its reason (Safe to connect, Review before you connect, or Do not connect), a 0-100 trust score, an adoption score from real usage (downloads per week), findings with remediation,scan_repo~276 tokens
Scan a public GitHub repository with AgentAvow and return whether it is safe for an agent to connect to: one of three answers with its reason (Safe to connect, Review before you connect, or Do not connect), a 0-100 trust score, an adoption score from real usage (stars), the findings behind it (withverify_trust~166 tokens
Verify an AgentAvow entity's trust score. Returns trust_score (0-1), trust_score_pct (0-100), trust_tier, and whether it meets a minimum threshold. Read-only, no auth. Use before interacting with an unknown agent.
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