# agenti

> Use this tool when you need to integrate cryptocurrency transactions with LLM clients, enabling autonomous financial operations without requiring coding knowledge. It solves problems related to seamless cryptocurrency management, such as holding, spending, earning, and receiving digital assets. The agenti tool accepts MCP-compatible LLM clients as input and provides native MCP tools as output, ideal for use cases where codeless cryptocurrency integration is necessary.

Canonical page: https://skillsregistry.net/skills/nirholas-agenti  
JSON: https://api.skillsregistry.net/v1/skills/nirholas-agenti

## Description

Enables any MCP-compatible LLM client to autonomously hold, spend, earn, and receive cryptocurrency using native MCP tools, no code required.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b99pduy7g4)
- **Repository:** <https://github.com/nirholas/agenti>

## 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": "nirholas-agenti"
    }
  }
}
```

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