# signaldaemon-mcp

> Use this tool when you need to analyze convergence and divergence of cryptocurrency, artificial intelligence, and macroeconomic trends to inform AI agent decision-making. It provides narrative and signal intelligence to solve problems related to market forecasting, risk assessment, and strategic planning. The tool takes in market data and news feeds as inputs and outputs actionable insights and predictive signals.

Canonical page: https://skillsregistry.net/skills/bevanding-signaldaemon  
JSON: https://api.skillsregistry.net/v1/skills/bevanding-signaldaemon

## Description

Narrative & signal intelligence for AI agents: crypto/AI/macro convergence & divergence.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p992txetqu)
- **Repository:** <https://github.com/bevanding/signaldaemon>

## 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": "bevanding-signaldaemon"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bevanding-signaldaemon` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bevanding-signaldaemon/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