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PopNx MCPMCP servers for people who use AI · explained in plain words

AgentTrust

by raditotevversion 0.1.5i★ –iRuns on your computer
Registry nameio.github.raditotev/agent-trust

Install

Overview

Description from the maker (original English)

MCP Server for Agent Reputation & Trust Scoring

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: DATABASE_URL, REDIS_URL, SIGNING_KEY_PATH, AGENTAUTH_ACCESS_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: DATABASE_URL, REDIS_URL, SIGNING_KEY_PATH, AUTH_PROVIDER, AGENTAUTH_ACCESS_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agent-trust": {
      "command": "uvx",
      "args": [
        "agent-trust-mcp"
      ],
      "env": {
        "DATABASE_URL": "your-value",
        "REDIS_URL": "your-value",
        "SIGNING_KEY_PATH": "your-value",
        "AUTH_PROVIDER": "your-value",
        "AGENTAUTH_ACCESS_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add agent-trust --env DATABASE_URL=your-value --env REDIS_URL=your-value --env SIGNING_KEY_PATH=your-value --env AUTH_PROVIDER=your-value --env AGENTAUTH_ACCESS_TOKEN=your-value -- uvx agent-trust-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-trust": {
      "command": "uvx",
      "args": [
        "agent-trust-mcp"
      ],
      "env": {
        "DATABASE_URL": "your-value",
        "REDIS_URL": "your-value",
        "SIGNING_KEY_PATH": "your-value",
        "AUTH_PROVIDER": "your-value",
        "AGENTAUTH_ACCESS_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agent-trust": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "agent-trust-mcp"
      ],
      "env": {
        "DATABASE_URL": "your-value",
        "REDIS_URL": "your-value",
        "SIGNING_KEY_PATH": "your-value",
        "AUTH_PROVIDER": "your-value",
        "AGENTAUTH_ACCESS_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • DATABASE_URL required env
    PostgreSQL asyncpg connection string
  • REDIS_URL required env
    Redis connection string
  • SIGNING_KEY_PATH required env
    Path to Ed25519 private key PEM file
  • AUTH_PROVIDER env
    Authentication provider: agentauth | standalone | both (default: both)
  • AGENTAUTH_ACCESS_TOKEN secret env
    Access token for AgentAuth MCP tool calls

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account raditotev, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32606 servers in this category
  • Published to the registry more recently than 4% of the other 32606 servers in this category
  • Basic checks equal to or better than 100% of the other 32606 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is AgentTrust safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: DATABASE_URL, REDIS_URL, SIGNING_KEY_PATH, AGENTAUTH_ACCESS_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.5) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Georgia MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Georgia MCP

by abgeo

An MCP server for Georgian public data, read from the organizations that publish it.

Computer or cloudUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

AgentTrust

Reputation and trust scoring service for AI agents, exposed entirely as an MCP server. Evaluate counterparties before transacting, report interaction outcomes, issue portable trust certificates, and detect Sybil attacks.

Table of Contents

  • Quickstart
  • Connecting to the MCP Server
  • Authentication
  • Tools Reference
  • Discovery
  • Agent Management
  • register_agent
  • generate_agent_token
  • whoami
  • agent_status
  • get_agent_profile
  • search_agents
  • link_agentauth
  • verify_link_proof
  • Trust Scoring
  • Interaction Reporting
  • Disputes
  • Attestations
  • issue_attestation
  • list_my_attestations
  • verify_attestation
  • Sybil Detection
  • Resources
  • Prompts
  • Score Types
  • Rate Limits
  • Self-Hosting

Quickstart

1. Connect to the MCP server

Add AgentTrust to your MCP client configuration:

{

"mcpServers": { "agent-trust": { "url": "https://agent-trust.radi.pro/mcp" } } }

Or for local development via stdio:

{

"mcpServers": { "agent-trust": { "command": "uv", "args": ["run", "python", "-m", "agent_trust.server"] } } }

2. Register your agent
register_agent(display_name="my-agent", capabilities=["search", "summarize"])

Response:

{

"agent_id": "550e8400-e29b-41d4-a716-446655440000", "source": "standalone", "scopes": ["trust.read", "trust.report"], "created": true, "public_key_hex": "a1b2c3...", "private_key_hex": "d4e5f6...", "warning": "Key pair auto-generated. Store private_key_hex securely." }

Store the `private_key_hex` immediately -- it is shown only once.

3. Generate an access token
generate_agent_token(

agent_id="550e8400-...", private_key_hex="d4e5f6..." )

Response:

{

"access_token": "eyJ...", "expires_at": "2026-03-20T13:00:00+00:00", "ttl_minutes": 60, "agent_id": "550e8400-..." }

4. Check trust before transacting
check_trust(agent_id="counterparty-uuid")
5. Report interaction outcomes
report_interaction(

counterparty_id="counterparty-uuid", interaction_type="transaction", outcome="success", access_token="eyJ..." )

Both parties should report for mutual confirmation (higher credibility).


Connecting to the MCP Server

AgentTrust supports two MCP transports:

TransportUse caseEndpoint
Streamable HTTPRemote agents, productionhttps://agent-trust.radi.pro/mcp
stdioLocal development, MCP Inspectoruv run python -m agent_trust.server

Authentication

AgentTrust supports two authentication methods. Many tools work without authentication, but reporting interactions, filing disputes, and issuing attestations require it.

AgentAuth (preferred)

Obtain a bearer token from AgentAuth and pass it as access_token. This provides the full set of scopes:

ScopeGrants
trust.readScore breakdowns, pending confirmations
trust.reportReport and confirm interactions
trust.dispute.fileFile disputes
trust.dispute.resolveResolve disputes (arbitrators)
trust.attest.issueIssue signed attestations
trust.adminAlert subscriptions
Standalone (Ed25519)

Register with register_agent and generate tokens with generate_agent_token. Provides trust.read and trust.report scopes. You can upgrade to AgentAuth later via link_agentauth.

No authentication

Tools marked as "Auth: none" work without any token. Useful for checking trust scores and verifying attestations.


Tools Reference

Discovery
discover

Auth: none

Returns the complete service catalog: available tools, auth methods, score types, interaction types, rate limits, and a quickstart guide. Call this first when connecting.

discover()

Agent Management
register_agent

Auth: none

Register a new agent in the trust network. Three paths:

  1. AgentAuth -- pass access_token from AgentAuth
  2. Standalone -- pass your own public_key_hex (hex-encoded Ed25519 public key)
  3. Auto-generate -- omit both to get a keypair generated for you
ParameterTypeRequiredDescription
display_namestringnoHuman-readable name (max 200 chars)
capabilitieslist[string]noTags like ["search", "code-review"] (max 50)
metadatadictnoArbitrary key-value data (max 10KB)
access_tokenstringnoAgentAuth bearer token
public_key_hexstringnoHex-encoded Ed25519 public key
register_agent(

display_name="my-search-agent", capabilities=["search", "summarize"] )

generate_agent_token

Auth: none (uses private key directly)

Generate a signed JWT access token for standalone agents.

ParameterTypeRequiredDescription
agent_idstringyesUUID from register_agent
private_key_hexstringyes64 hex chars, Ed25519 private key
ttl_minutesintnoToken lifetime, default 60, max 1440
generate_agent_token(

agent_id="550e8400-...", private_key_hex="d4e5f6...", ttl_minutes=120 )

whoami

Auth: required

Check your identity, current trust scores, and scopes.

ParameterTypeRequiredDescription
access_tokenstringnoAgentAuth bearer token
public_key_hexstringnoHex-encoded public key
whoami(access_token="eyJ...")
get_agent_profile

Auth: none (authenticated calls get extra detail)

Retrieve the public profile for any agent.

ParameterTypeRequiredDescription
agent_idstringyesUUID to look up
access_tokenstringnoFor additional details
get_agent_profile(agent_id="550e8400-...")
search_agents

Auth: none

Search agents by trust score, capabilities, and interaction count.

ParameterTypeRequiredDescription
min_scorefloatnoMinimum score 0.0-1.0 (default 0.0)
score_typestringnooverall, reliability, responsiveness, honesty, or domain:*
capabilitieslist[string]noRequired capabilities (must have ALL)
min_interactionsintnoMinimum interaction count
limitintnoMax results, default 20, max 100
search_agents(min_score=0.7, capabilities=["code-review"], limit=10)
link_agentauth

Auth: required (AgentAuth token)

Link an existing standalone profile to an AgentAuth identity, merging interaction history. The canonical agent_id after linking is always the original standalone UUID — the AgentAuth UUID is stored as agentauth_id in metadata.

ParameterTypeRequiredDescription
access_tokenstringyesAgentAuth bearer token
public_key_hexstringyesPublic key from standalone registration
signed_proofstringyesJWT signed with private key (claims: sub, action, iat)
dry_runboolnoValidate everything without committing changes (default false)

Response:

{

"agent_id": "550e8400-...", "canonical_agent_id": "550e8400-...", "agentauth_id": "aa-uuid-...", "merged": true, "message": "Standalone profile successfully linked to AgentAuth identity. ..." }

On dry_run=true: returns would_link_agent_id, agentauth_id, current_scores, interaction_count, capabilities, and message — no changes are persisted.

Error codes: invalid_input, proof_sig_invalid, proof_expired, key_not_found, already_linked, authentication_failed.

verify_link_proof

Auth: required (AgentAuth token)

Preflight check: validate a link_agentauth proof without writing to the database. Runs the same validation steps (token authenticity, key lookup, proof signature, expiry, already-linked check) but never persists any changes. Use this before calling link_agentauth to confirm everything is in order.

ParameterTypeRequiredDescription
access_tokenstringyesAgentAuth bearer token
public_key_hexstringyesHex-encoded Ed25519 public key of the standalone agent
signed_proofstringyesJWT signed with the standalone private key
verify_link_proof(

access_token="eyJ...", public_key_hex="a1b2c3...", signed_proof="eyJ..." )

Response:

{

"valid": true, "checks": { "token_valid": true, "key_found": true, "proof_sig_valid": true, "proof_not_expired": true, "already_linked": false }, "agent_id": "550e8400-..." }

agent_status

Auth: required

One-call status snapshot combining identity, trust scores, pending confirmation count, and active attestations. Useful as a dashboard or health check.

ParameterTypeRequiredDescription
access_tokenstringnoAgentAuth bearer token
public_key_hexstringnoHex-encoded Ed25519 public key (standalone agents)
agent_status(access_token="eyJ...")

Response:

{

"agent_id": "550e8400-...", "agentauth_linked": true, "scores": {"overall": 0.73, "reliability": 0.81}, "scopes": ["trust.read", "trust.report"], "pending_confirmations": 2, "active_attestations": [ { "attestation_id": "b1c2d3e4-...", "valid_until": "2026-03-21T12:00:00+00:00", "seconds_remaining": 86400 } ] }


Trust Scoring
check_trust

Auth: none (authenticated calls with trust.read scope get factor_breakdown)

Primary tool for evaluating an agent before a transaction. Returns a score (0.0-1.0), confidence (0.0-1.0), interaction count, and a plain-language explanation.

ParameterTypeRequiredDescription
agent_idstringyesUUID to evaluate
score_typestringnoDefault overall
access_tokenstringnoFor factor breakdown
check_trust(agent_id="550e8400-...", score_type="reliability")

Response:

{

"agent_id": "550e8400-...", "score_type": "reliability", "score": 0.82, "confidence": 0.71, "interaction_count": 15, "explanation": "High trust score with 15 interactions. Mostly positive.", "computed_at": "2026-03-20T12:00:00+00:00" }

A score of 0.5 with confidence 0.05 means "unknown", not "average". Low confidence means few interactions -- treat with caution.

check_trust_batch

Auth: none

Check trust scores for up to 20 agents in a single call.

ParameterTypeRequiredDescription
agent_idslist[string]yesUp to 20 UUIDs
score_typestringnoDefault overall
check_trust_batch(agent_ids=["uuid-1", "uuid-2", "uuid-3"])
compare_agents

Auth: none

Rank up to 10 agents side-by-side by score.

ParameterTypeRequiredDescription

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