# AgentCanary

> Use this tool when you need to inform autonomous AI agents with decision-grade intelligence, helping to solve complex problems related to regime shifts, risk assessment, and narrative analysis. AgentCanary provides scored signals as output, taking in various data inputs to generate actionable insights. Ideal for use cases requiring real-time, data-driven decision making in dynamic environments.

Canonical page: https://skillsregistry.net/skills/io-github-mrcerq-agentcanary  
JSON: https://api.skillsregistry.net/v1/skills/io-github-mrcerq-agentcanary

## Description

Decision-grade intelligence for autonomous AI agents. Regime, risk, narratives, scored signals.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.1.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.MrCerq%2Fagentcanary)
- **Repository:** <https://github.com/MrCerq/agentcanary-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-mrcerq-agentcanary"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-mrcerq-agentcanary` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-mrcerq-agentcanary/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt