# Base Wallet

> Use this tool when you need to interact with the Base Sepolia testnet and manage wallet operations in a flexible and lightweight manner. It solves problems related to blockchain interaction, wallet management, and tool execution, providing a standard MCP server with tool listing and execution capabilities. The Base Wallet tool accepts inputs through a stdio transport mechanism and generates outputs related to blockchain actions, making it ideal for use cases that require seamless wallet interaction on the Base Sepolia testnet.

Canonical page: https://skillsregistry.net/skills/0xrag-base-wallet  
JSON: https://api.skillsregistry.net/v1/skills/0xrag-base-wallet

## Description

A lightweight MCP server built with TypeScript and Coinbase's AgentKit, designed to provide a flexible wallet interaction framework using Viem on the Base Sepolia testnet. The implementation sets up a standard MCP server with tool listing and execution capabilities, generating a random wallet client and exposing blockchain-related actions through a stdio transport mechanism.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/0xrag-base-wallet)
- **Repository:** <https://github.com/0xrag/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": "0xrag-base-wallet"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0xrag-base-wallet` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0xrag-base-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