# crewai-mcp-crypto-intel-agents

> crewai-mcp-crypto-intel-agents — vinkius-labs-crewai-mcp-crypto-intel-agents. Use this tool when you need to generate institutional-grade crypto market intelligence reports with real-time data from multiple sources. It solves problems related to cryptocurrency market analysis and research by providing accurate and up-to-date information. The tool takes in real-time data from sources like CoinGecko and Binance, and outputs comprehensive intelligence reports, making it ideal for use cases that require informed investment decisions or market research.

Canonical page: https://skillsregistry.net/skills/vinkius-labs-crewai-mcp-crypto-intel-agents  
JSON: https://api.skillsregistry.net/v1/skills/vinkius-labs-crewai-mcp-crypto-intel-agents

## Description

AI agent crew that generates institutional-grade crypto market intelligence reports with real-time data from CoinGecko, Binance, SEC EDGAR, FRED and more using CrewAI + 15 MCP servers + Google Gemini.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** finance
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/vinkius-labs/crewai-mcp-crypto-intel-agents)

## 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": "vinkius-labs-crewai-mcp-crypto-intel-agents"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vinkius-labs-crewai-mcp-crypto-intel-agents` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vinkius-labs-crewai-mcp-crypto-intel-agents/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