MCP server

Mnemom — Trust Ratings for AI Agents Official

io.github.mnemom/mnemom

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Trust infrastructure for AI agents: read a verifiable Trust Rating, claim an identity, earn a badge.

Website Source

At a glance

Type

MCP server

Publisher

mnemom.ai (verified by the MCP Registry)

Status

Working at last check

Tools

15

Token cost

About 11,029 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.mnemom]
url = "https://api.mnemom.ai/mcp?profile=directory"

Gemini CLI

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

Cursor

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

VS Code

{"servers":{"mnemom":{"type":"http","url":"https://api.mnemom.ai/mcp?profile=directory"}}}

Antigravity

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

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":"mnemom","server_url":"https://api.mnemom.ai/mcp?profile=directory","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"mnemom","server_url":"https://api.mnemom.ai/mcp?profile=directory"}

Tools

• claim_agent ~331 tokens
  Claim 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 its original claim date but files it under the organization you pass (`org_id`;
• get_agent ~97 tokens
  Look up an agent's public identity and trust state by ID — the accountable record other agents and humans can rely on.
• get_reputation ~155 tokens
  Look 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. Free, public, read-only: ratings are public by default, unless the agent's own
• get_reputation_badge ~110 tokens
  Get 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_started ~149 tokens
  Zero-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_agents ~126 tokens
  List the agents your account owns, with pagination (`limit`, `offset`). Read-only.
• preview_compose_alignment_by_agent ~1882 tokens
  Dry-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_agent ~1930 tokens
  Dry-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_agent ~1927 tokens
  Publish 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, organization and team policies above it and stores the result. Use preview_compo
• put_protection_by_agent ~2046 tokens
  Publish 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 signed-in account: open https://www.mnemom.ai/authorize-protection?agent_id=<agent_id
• report_recipe_fn_fp ~511 tokens
  Submit 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_trust ~257 tokens
  Scan 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: true` to force a re-scan (rate-limited). Proxies to the SSRF-locked isittrustre
• search_reputation_directory ~336 tokens
  Resolve 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, then call get_reputation / verify_reputation on it.
• verify_reputation ~168 tokens
  Attest 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 certificate. This is a chain-integrity attestation, NOT an in-band Ed25519 signature ch
• verify_scan ~1004 tokens
  Verify 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 public key at mnemom://iitr/jwks. Zero-auth. Spec + rubric: https://www.isittrustread

Browse

• GitHub tools
• Converting to Markdown
• GitHub and code hosting
• Food and recipes

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