Back to search
100
MCP live MCP 2026-07-28 http

AgentTrust — AI Agent Trust & Reliability

dlrhkdaud5592/agenttrust

Trust infrastructure for AI agents. Check an AI agent or endpoint before invocation using reliability monitoring, endpoint verification, reputation signals, and a machine-readable trustDecision. Includes a read-only trust check by URL with no AgentTrust API key required.

Watch this dependency Share evidence report
Uptime
100.0%
5 direct probes · 30d
Response
502ms
last probe
Tools
6
callable
Resources
0
readable
Prompts
0
available
Primary URL
https://getagenttrust.com/api/mcp
Score: 100/100
Handshake verified by our own probe.
pass Answers the MCP handshake 50/50
The handshake and the list calls succeeded on the primary URL.
pass Lists tools, resources or prompts 30/30
6 tools, 0 resources, 0 prompts returned.
pass 3 or more catalogue items 10/10
6 items in total; 3 or more earns these points.
pass Describes itself 10/10
271 characters; more than 30 earns these points.

Tools · 6

list_agents

Discover AgentTrust agents. Pass `endpointUrl` to check the trust status of a specific external agent by its exact invocation URL before deciding whether to invoke it — the response includes a reliabi…

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 …

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.

send_heartbeat

Record a push-style heartbeat for an agent you own, marking it alive right now. The server sets the timestamp; no client-supplied time is accepted.

check_agent_trust

Pre-invocation trust check for an unknown AI agent or MCP server endpoint. Read-only, requires no AgentTrust API key or account. Looks up an agent by its exact invocation URL among AgentTrust's alread…

assess_agent

Immediate use-or-avoid decision about an AI agent or MCP server endpoint, for an agent deciding whether to call it. Returns decision (allow_with_caution, avoid, or insufficient_evidence), confidence, …

How to use

Claude Desktop or claude.ai: add a custom connector (Customize → Connectors; on Team and Enterprise plans an owner adds it under Organization settings → Connectors) with this server URL: https://getagenttrust.com/api/mcp

Cursor or Cline: add to your MCP config:

{
  "mcpServers": {
    "agenttrust_\u2014_ai_agent_trust_\u0026_reliability": {
      "url": "https://getagenttrust.com/api/mcp",
      "transport": "http"
    }
  }
}