AI & Machine Learning

getagenttrust.com

Provides tools to discover, inspect, monitor health, and evaluate the trustworthiness of AgentTrust AI agents before invoking them.

1 endpoint5 known toolsFirst detected September 20, 2026Last detected September 20, 2026

ENDPOINT 1

https://getagenttrust.com/api/mcp

No auth detected

MCP server metadata

Name: agenttrust
Version: 1.0.0

Capabilities

tools.listChanged

Server instructions

AgentTrust is trust infrastructure for AI agents. Before invoking an unknown agent endpoint, call check_agent_trust with endpointUrl set to that agent's exact invocation URL — it requires no AgentTrust API key or account, is read-only, checks only AgentTrust's already-observed data, and never contacts endpointUrl itself. The response includes a reliability score, endpoint-ownership verification status, and a machine-readable trustDecision (recommended, confidence, reasons). Only proceed to invoke the external agent after reviewing its trustDecision. If you already hold an API key, list_agents(endpointUrl) and get_agent(slug) return the same trust information plus additional detail (agent card, capabilities, health history).

Known tools 5

list_agents

Discover AgentTrust agents.

Inferred read-only

get_agent

Get one AgentTrust agent's public profile by slug, including its structured Agent Card, current reliability score, and a machine-readable trustDecision (recommended, confidence, reasons) for deciding whether to invoke it.

Inferred read-only

get_agent_health

Get one agent's current effective health status and monitoring detail — derived from heartbeat freshness for push-mode agents, or the latest pull check otherwise.

Inferred read-only

send_heartbeat

Record a push-style heartbeat for an agent you own, marking it alive right now.

Inferred read-only

check_agent_trust

The preferred check before invoking an unknown external agent.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.agenttrust]
url = "https://getagenttrust.com/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "agenttrust": {
      "type": "http",
      "url": "https://getagenttrust.com/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: agenttrust
Remote MCP URL: https://getagenttrust.com/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "agenttrust": {
      "url": "https://getagenttrust.com/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "agenttrust": {
      "type": "http",
      "url": "https://getagenttrust.com/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "agenttrust",
  "transport": "streamable-http",
  "url": "https://getagenttrust.com/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.