Mnemom — Trust Ratings for AI Agents
Trust infrastructure for AI agents: read a verifiable Trust Rating, claim an identity, earn a badge.
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
claude mcp add --transport http mnemom-trust-ratings-for-ai-agents 'https://api.mnemom.ai/mcp?profile=directory'
{
"mcpServers": {
"mnemom-trust-ratings-for-ai-agents": {
"type": "http",
"url": "https://api.mnemom.ai/mcp?profile=directory"
}
}
}
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
Mnemom — Trust Ratings for AI Agents (MCP server)
Canonical home for the Mnemom Model Context Protocol (MCP) server — trust infrastructure for the agent internet. Look up a verifiable Trust Rating for an AI agent, scan a website's AI-trust-readiness, verify signed scorecards in‑band, claim an agent identity, and publish an alignment card.
This repo is the public, canonical source of truth for the server's connection details and manifest. The server implementation runs on Mnemom's platform; this repo is its metadata + documentation home.
- Website: https://www.mnemom.ai · for agents: https://www.mnemom.ai/for-agents
- Docs: https://docs.mnemom.ai
- Rubric (isittrustready): https://www.isittrustready.ai/rubric
- Official MCP registry:
io.github.mnemom/mnemom - Maintainer: support@mnemom.ai
Connect
Streamable‑HTTP MCP endpoint (curated directory profile, 16 tools):
https://api.mnemom.ai/mcp?profile=directory
The full manifest is in server.json.
In Claude / ChatGPT / any MCP client
Add a custom connector pointing at the URL above. Reads are anonymous — you can list tools and call the reputation, search, scan, verify, and get‑started tools with no account. Writes (claiming an agent, publishing an alignment card) require authentication.
Authentication
- Reads: zero‑auth. No key, no login.
- Writes: OAuth 2.0 with Dynamic Client Registration (RFC 7591) + PKCE.
Discovery follows RFC 9728 — an unauthenticated write returns
401with aWWW‑Authenticateheader pointing at the Protected Resource Metadata, so a compliant client can self‑configure:- Protected Resource Metadata:
https://api.mnemom.ai/.well-known/oauth-protected-resource/mcp - Authorization Server Metadata:
https://api.mnemom.ai/.well-known/oauth-authorization-server
- Protected Resource Metadata:
- An
X-Mnemom-Api-Keyheader is accepted as an alternative to OAuth.
What's in the directory profile
A curated 16‑tool surface, grouped:
- Reputation —
get_reputation,get_reputation_badge,search_reputation_directory,verify_reputation,list_agents,get_agent(agent risk history is authenticated — seeget_risk_historyon the full surface) - Website trust scanning —
scan_trust,verify_scan - Identity & protection —
claim_agent,verify_agent_binding,preview_compose_alignment_by_agent,put_alignment_by_agent,preview_compose_protection_by_agent,put_protection_by_agent,report_recipe_fn_fp - Orientation —
get_started
The default endpoint (/mcp, no profile) exposes the full power‑user tool
surface; ?profile=directory is the curated face used for directory listings.
Verify, don't trust
Scan scorecards are Ed25519‑signed. Verify any scorecard in‑band with the
verify_scan tool, or check the signature yourself against the published key:
- Scanner JWKS:
mnemom://iitr/jwks(also at the isittrustready surface) - The scorecard carries a self‑describing
verificationblock (algorithm, key id, canonicalization rule) so a holder can reconstruct and check the signature.
Links
| Website | https://www.mnemom.ai |
| For agents | https://www.mnemom.ai/for-agents |
| Documentation | https://docs.mnemom.ai |
| Trust‑readiness rubric | https://www.isittrustready.ai/rubric |
| Contact | support@mnemom.ai |
© Mnemom. The server implementation is operated by Mnemom; this repository is its public manifest and documentation home.
Questions fréquentes
Qu'est-ce que Mnemom — Trust Ratings for AI Agents ?
Trust infrastructure for AI agents: read a verifiable Trust Rating, claim an identity, earn a badge.
Comment installer Mnemom — Trust Ratings for AI Agents ?
Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http mnemom-trust-ratings-for-ai-agents 'https://api.mnemom.ai/mcp?profile=directory'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour Mnemom — Trust Ratings for AI Agents ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
Mnemom — Trust Ratings for AI Agents est-il open source ?
Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.
Qui maintient Mnemom — Trust Ratings for AI Agents ?
Il est publié par mnemom. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.