Mnemom — Trust Ratings for AI Agents

Connect it to your AI

Claude Code

claude mcp add --transport http mnemom https://api.mnemom.ai/mcp?profile=directory

Claude, ChatGPT, Cursor and other apps

Add it as a custom connector with this URL (Streamable HTTP):

https://api.mnemom.ai/mcp?profile=directory

Cursor, VS Code and other apps (mcp.json)

{
  "mcpServers": {
    "mnemom": {
      "url": "https://api.mnemom.ai/mcp?profile=directory"
    }
  }
}

Tools it offers

15 tools, as the server itself reported during our check on Oct 31, 2026.

• claim_agentClaim a verifiable identity — bind an agent to your organization so its trust and accountability record is provably yours. Requires the agent's possession proof (`hash_proof`). Re-claiming an agent you already own keeps
• get_agentLook up an agent's public identity and trust state by ID — the accountable record other agents and humans can rely on.
• get_reputationLook up an AI agent's published Trust Rating — Mnemom's portable reliability signal for autonomous software, computed from the agent's own verified activity record. Returns the rating plus the technical factors behind it
• get_reputation_badgeGet an embeddable Trust Rating badge for an agent — returns the badge image URL plus ready-to-paste Markdown and HTML snippets for a README or agent card.
• get_startedZero-auth, no-args orientation: who Mnemom is, the surface map, how to authenticate and what it unlocks, and the tools to try right now (scan_trust and the reputation lookups).
• list_agentsList the agents your account owns, with pagination (`limit`, `offset`). Read-only.
• preview_compose_alignment_by_agentDry-run an alignment card: shows the card that would result after merging with the platform, organization and team policies above it, plus any conflicts. Nothing is saved.
• preview_compose_protection_by_agentDry-run a protection card: shows the card that would result after merging with the platform, organization and team policies above it, plus any conflicts. Nothing is saved, and no publish grant is needed.
• put_alignment_by_agentPublish or replace an agent's alignment card: its governance modes, the principal it acts for, its declared values, the actions it may take on its own, and its audit policy. The server merges the card with the platform,
• put_protection_by_agentPublish or replace an agent's protection card (screening mode, thresholds, trusted sources, protected assets). When connected by OAuth sign-in (e.g. ChatGPT), each publish first needs a one-time grant from the same signe
• report_recipe_fn_fpSubmit a false-positive / false-negative correction for one of Mnemom's automated detection rules (a 'recipe') — technical feedback that improves detection accuracy, like filing a bug report against a spam filter.
• scan_trustScan a website's agent-trust-readiness and return a signed scorecard (Trust, plus an Access axis on newer rubrics). Zero-auth. Results are CACHED for up to 24h — check `cached` and `scannedAt` on the result; pass `fresh:
• search_reputation_directoryResolve an agent name or id-prefix to a real agent_id over the PUBLIC reputation directory (only agents whose reputation visibility is public). Zero-auth. The arriving-agent entry point: discover a concrete agent_id, the
• verify_reputationAttest an agent's Trust Rating — returns a Merkle-root + hash-chain attestation (hash_chain_valid) proving the rating derives from an unbroken, append-only checkpoint chain, plus a pointer to the signed integrity certifi
• verify_scanVerify a website scan scorecard's Ed25519 signature IN-BAND (verify, don't trust). Pass a `scan` (a scorecard from scan_trust) or a `url` to re-scan; returns {verified, key_id, canonicalization} checked against the publi

Questions