# Finance District

> Use this tool when you need to manage and optimize cryptocurrency portfolios across multiple blockchains, or to discover and execute DeFi yield strategies for passive income. It solves problems of complex blockchain management, portfolio tracking, and risk assessment through integrated swaps, transfers, and real-time price tracking. With automated payment authorizations and comprehensive guides, it provides a secure and streamlined interface for managing digital assets.

Canonical page: https://skillsregistry.net/skills/finance-district-agent-wallet  
JSON: https://api.skillsregistry.net/v1/skills/finance-district-agent-wallet

## Description

Manage cryptocurrency portfolios across multiple blockchains through integrated swaps, transfers, and real-time price tracking. Discover and execute DeFi yield strategies to earn passive income while monitoring risk scores and performance. Simplify complex blockchain tasks with automated payment authorizations and a comprehensive guide for secure asset management.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/finance-district/agent-wallet)

## 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": "finance-district-agent-wallet"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/finance-district-agent-wallet` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/finance-district-agent-wallet/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
