Mnemom — Trust Ratings for AI Agents is an MCP server with 15 tools an agent can call, among them claim_agent, get_agent, get_reputation. It answers at https://api.mnemom.ai/mcp?profile=directory over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 22 October 2026, succeeded.
Trust infrastructure for AI agents: read a verifiable Trust Rating, claim an identity, earn a badge.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
claim_agent | Claim a verifiable identity — bind an agent to your organization so its trust and accountability record is provably yours. No human in the loop. Inputs: agent_id, hash_proof, org_id |
get_agent | Look up an agent's public identity and trust state by ID — the accountable record other agents and humans can rely on. Inputs: agent_id |
get_reputation | 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 Inputs: agent_id |
get_reputation_badge | 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. Inputs: agent_id |
get_started | Zero-auth, no-args orientation: who Mnemom is, the surface map, how to authenticate and what it unlocks, and the value tools to try right now (headlining scan_trust + the reputation reads). Inputs: token |
list_agents | List your agents — List all agents owned by the authenticated user. Supports pagination. Inputs: limit, offset |
preview_compose_alignment_by_agent | Preview composed alignment (dry run) — Composes the cascade against a hypothetical body at the agent layer and returns conflicts + the composed view. No DB writes. Used by the dashboard editor for live conflict markers. Inputs: agent_id, card_version, autonomy_mode, integrity_mode, principal, values |
preview_compose_protection_by_agent | Preview composed protection (dry run) — Composes the cascade against a hypothetical body at the agent layer and returns conflicts + the composed view. No DB writes. Used by the dashboard editor for live conflict markers. Inputs: agent_id, card_version, mode, thresholds, screen_surfaces, trusted_sources |
put_alignment_by_agent | Publish or replace the alignment manifest — Accepts YAML (`text/yaml`, `application/yaml`) or JSON. Body is the full `UnifiedAlignmentCard`; server-side composition merges it across the platform → org → team → agent cascade and writes the c Inputs: agent_id, card_version, autonomy_mode, integrity_mode, principal, values |
put_protection_by_agent | Publish or replace the protection manifest — Accepts YAML (`text/yaml`, `application/yaml`) or JSON. Body is the full `UnifiedProtectionCard`; server-side composition merges it across the platform → org → team → agent cascade and writes the Inputs: agent_id, card_version, mode, thresholds, screen_surfaces, trusted_sources |
report_recipe_fn_fp | 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. Inputs: recipeId, type, summary, agent_id, checkpoint_id |
scan_trust | 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 Inputs: url, fresh |
search_reputation_directory | 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_reputatio Inputs: q, grade, confidence, sort, page, per_page |
verify_reputation | 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 chai Inputs: agent_id |
verify_scan | 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://ii Inputs: scan, url |
Every block below points at https://api.mnemom.ai/mcp?profile=directory. Pick your client and copy.
claude mcp add --transport http mnemom-trust-ratings-for-ai-agen https://api.mnemom.ai/mcp?profile=directory
{
"mcpServers": {
"mnemom-trust-ratings-for-ai-agen": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://api.mnemom.ai/mcp?profile=directory"]
}
}
}{
"mcpServers": {
"mnemom-trust-ratings-for-ai-agen": {
"url": "https://api.mnemom.ai/mcp?profile=directory"
}
}
}{
"servers": {
"mnemom-trust-ratings-for-ai-agen": {
"type": "http",
"url": "https://api.mnemom.ai/mcp?profile=directory"
}
}
}{
"context_servers": {
"mnemom-trust-ratings-for-ai-agen": {
"url": "https://api.mnemom.ai/mcp?profile=directory"
}
}
}{
"mcpServers": {
"mnemom-trust-ratings-for-ai-agen": {
"serverUrl": "https://api.mnemom.ai/mcp?profile=directory"
}
}
}{
"mcpServers": {
"mnemom-trust-ratings-for-ai-agen": {
"url": "https://api.mnemom.ai/mcp?profile=directory"
}
}
}name: Mnemom — Trust Ratings for AI Agents
version: 0.0.1
schema: v1
mcpServers:
- name: Mnemom — Trust Ratings for AI Agents
type: streamable-http
url: https://api.mnemom.ai/mcp?profile=directory{
"mcpServers": {
"mnemom-trust-ratings-for-ai-agen": {
"httpUrl": "https://api.mnemom.ai/mcp?profile=directory"
}
}
}{
"mcpServers": {
"mnemom-trust-ratings-for-ai-agen": {
"type": "http",
"url": "https://api.mnemom.ai/mcp?profile=directory"
}
}
}{
"mcpServers": {
"mnemom-trust-ratings-for-ai-agen": {
"url": "https://api.mnemom.ai/mcp?profile=directory"
}
}
}goose://extension?url=https%3A%2F%2Fapi.mnemom.ai%2Fmcp%3Fprofile%3Ddirectory&type=streamable_http&id=mnemom-trust-ratings-for-ai-agen&name=Mnemom%20%E2%80%94%20Trust%20Ratings%20for%20AI%20Agents
It answered our last check on 22 October 2026 in 547 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
15, as returned by the server's own tools/list on 17 September 2026: claim_agent, get_agent, get_reputation, get_reputation_badge, get_started, list_agents, preview_compose_alignment_by_agent, preview_compose_protection_by_agent, and 7 more.
It answered our last check on 22 October 2026 in 547 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://api.mnemom.ai/mcp?profile=directory. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.mnemom. Endpoint host: api.mnemom.ai. ARD identifier: urn:air:io.github.mnemom:mcp:mnemom.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.