io.github.mnemom/mnemom
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Publisher-provided title
Mnemom — Trust Ratings for AI Agents
Publisher-provided description
Trust infrastructure for AI agents: read a verifiable Trust Rating, claim an identity, earn a badge.
Summary by lookupd
Look up and attest AI agent Trust Ratings, claim agent identities, scan websites for trust readiness, and manage alignment and protection…
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http mnemom 'https://api.mnemom.ai/mcp?profile=directory'
Codex, remote (streamable-http)
codex mcp add mnemom --url 'https://api.mnemom.ai/mcp?profile=directory'
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"mnemom": {
"url": "https://api.mnemom.ai/mcp?profile=directory"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (15 tools)
Publisher-provided text
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 proofget_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 recget_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 repulist_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. Nothinpreview_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. Nothinput_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 itsput_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), ereport_recipe_fn_fpSubmit a false-positive / false-negative correction for one of Mnemom's automated detection rules (a 'recipe') — technical feedback that improves detection accuscan_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 24hsearch_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 averify_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 checverify_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 {v
Details
- Version: 1.0.2
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 325 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/mnemom/mcp
- Website: https://www.mnemom.ai
Badge for your README
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