Mnemom, Trust Ratings for AI Agents MCP server

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

63/100?Number 2593 of 13,192 in Other

source repositorytool list publishedupdated recentlyhosted endpointactive entryno credentials

How this score is calculated

HostedCOMMUNITY Other

Details

Registry name
io.github.mnemom/mnemom
Publisher
mnemom
Version
1.0.2
Distribution
Hosted. the publisher runs this server and your client connects to their URL over HTTP. Nothing to install, but your requests go to a third party.
Transports
streamable-http
Source repository
mnemom/mcp
First published
Registry updated
Credentials required
-
Schema generation
2025-12-11

Hosted endpoints

Endpoint 1

URL
https://api.mnemom.ai/mcp?profile=directory
Transport
streamable-http
Authentication
not declared

Install Mnemom, Trust Ratings for AI Agents

Pick your client. The configuration below is generated from this server's published package and endpoint data.

Claude Code command line

Configuration file: .mcp.json or ~/.claude.json

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

Nothing to install. The client connects to the publisher's URL.

Check it worked: Run claude mcp list and check the server reports connected.

Official Claude Code MCP documentation

Cursor IDE

Configuration file: .cursor/mcp.json or ~/.cursor/mcp.json

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

Nothing to install. The client connects to the publisher's URL.

Check it worked: The server appears under Settings, then MCP with a green dot.

Official Cursor MCP documentation

Claude Desktop desktop app

Configuration file: ~/Library/Application Support/Claude/claude_desktop_config.json or %APPDATA%\Claude\claude_desktop_config.json

Hosted endpoint
{
  "mcpServers": {
    "mnemom": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://api.mnemom.ai/mcp?profile=directory"]
    }
  }
}

Nothing to install. The client connects to the publisher's URL.

Quit the app completely and reopen it.

Check it worked: Look for the tools icon in the message composer.

Official Claude Desktop MCP documentation

Visual Studio Code IDE

Configuration file: .vscode/mcp.json or user settings.json under mcp

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

Nothing to install. The client connects to the publisher's URL.

Check it worked: Open the Copilot chat tools picker and confirm the server is listed.

Official Visual Studio Code MCP documentation

Codex CLI command line

Configuration file: ~/.codex/config.toml

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

Nothing to install. The client connects to the publisher's URL.

Check it worked: Run codex mcp list and check the server is present.

Official Codex CLI MCP documentation

More clients (9), including automation platforms

Tools

15 tools, from the publisher's manifest. A parameter marked with an asterisk is required. By intent: 12 answer, 2 act and 1 not classified.

Intent says what a tool does with the world. Answer reads and returns information and changes nothing. Act changes state somewhere, by writing, creating, sending or deleting. Transact moves money, buys something or commits to a cost. A value marked declared is the publisher's own annotation on their own tool. A value marked inferred is this catalogue reading the tool name and description, and is not a claim by the publisher. Where neither settles it, the tool is left unclassified rather than guessed at.

ToolWhat it doesIntentParameters
claim_agentClaim a verifiable identity — bind an agent to your organization so its trust and accountability record is provably yours. No human in the loop. not classifiedorg_id, agent_id, hash_proof
get_agentLook up an agent's public identity and trust state by ID — the accountable record other agents and humans can rely on. answer inferredagent_id
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. Free, public, read-only: every registered agent's rating is published by standard (the `visibility` field is the reputation-publication axis, distinct from identity-record visibility). answer inferredagent_id
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. answer inferredagent_id
get_risk_historyRead an agent's risk-assessment history — the trail of prior safety assessments over time. Public, read-only signal. answer inferredlimit, offset, agent_id, include_playground
get_startedZero-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). answer inferrednone
list_agentsList your agents — List all agents owned by the authenticated user. Supports pagination. answer inferredlimit, offset
preview_compose_alignment_by_agentPreview 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. answer inferredbody, agent_id
put_alignment_by_agentPublish 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 canonical composed card. Requires `Idempotency-Key`. Honor... act inferredbody, agent_id
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. act inferredtype, summary, agent_id, evidence, recipeId, checkpoint_id
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: true` to force a re-scan (rate-limited). Proxies to the SSRF-locked isittrustready scanner; the Ed25519 signature + permalink are preserved verbatim. Rubric + docs: https://www.isittrustready.ai/rubric and https://docs.mnemom.ai/. answer inferredurl, 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, then call get_reputation / verify_reputation / get_risk_history on it. answer inferredq, page, sort, grade, per_page, confidence
verify_agent_bindingVerify that an API key is bound to this agent — confirms the holder is the accountable owner (anti-impersonation), hashing the key client-side. answer inferredagent_id, key_hash
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 certificate. This is a chain-integrity attestation, NOT an in-band Ed25519 signature check (that parity is verify_scan, for website scorecards). answer inferredagent_id
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 public key at mnemom://iitr/jwks. Zero-auth. Spec + rubric: https://www.isittrustready.ai/rubric and https://docs.mnemom.ai/. answer inferredurl, scan

Command line alternative

Could not determine. The available signals were not conclusive enough to say either way, so this is left open rather than guessed.

Repository signals

Not checked yet. Stars, licence, language and last commit date are read from the source host, and that pass has not run against this record.

Security, privacy and enterprise use

Read from the publisher's own website on 2026-08-13. Links only: nothing here is independently verified.

Policies

Certifications the publisher names

SOC 2GDPRHIPAA

Named on the publisher's own security page. This catalogue does not verify certifications, and a mention is not evidence of a current audit. Ask the publisher for the report before relying on it.

Enterprise use

Read from the publisher's enterprise page. Absence means that page does not mention it, not that it is unavailable.

SignalStatedWhat it means
Single sign onyesSAML, Okta or SCIM named on the enterprise page
Service level agreementyesAn uptime or support SLA is offered
Custom licencenot mentionedA commercial or enterprise licence is offered
Dedicated supportyesPriority support or a named contact
Self hostingyesOn premise or private cloud deployment is offered
Volume pricingyesCustom or volume pricing, usually via sales

Publisher

Website
mnemom.ai
Profiles
github x
Community
no subreddit linked from the publisher's site

Review platforms

CAPTERRA G2 OMR TRUSTPILOT

Ratings are not shown. G2, Trustpilot and Capterra all prohibit republishing their scores without a licence, and marking up a borrowed rating as our own would breach search engine policy. These are profile links only, and a profile may not exist for every publisher.

Frequently asked questions

What does the Mnemom, Trust Ratings for AI Agents MCP server do?
Trust infrastructure for AI agents: read a verifiable Trust Rating, claim an identity, earn a badge.
Do I need to install anything to use Mnemom, Trust Ratings for AI Agents?
No. Mnemom, Trust Ratings for AI Agents is published as a hosted endpoint, so a compatible client connects to it over the network.
How do I install Mnemom, Trust Ratings for AI Agents?
Point your client at the hosted endpoint https://api.mnemom.ai/mcp?profile=directory. No local install is needed.
Which transport does Mnemom, Trust Ratings for AI Agents use?
Streamable http. Your client has to support that transport to connect.
Where is the source code for Mnemom, Trust Ratings for AI Agents?
The publisher lists https://github.com/mnemom/mcp as the source repository.
Who publishes Mnemom, Trust Ratings for AI Agents?
It is published under io.github.mnemom, a community namespace tied to the GitHub account mnemom. Community servers are not reviewed before they appear in the registry.
Which version of Mnemom, Trust Ratings for AI Agents is listed here?
Version 1.0.2, taken from the latest registry entry.