# @cryptoapis-io/mcp-prepare-transactions

> Use this tool when you need to build unsigned EVM transactions for cryptocurrency, token, or NFT transfers, solving the problem of manually constructing complex transactions. It takes input parameters such as transfer type and recipient, and outputs a prepared unsigned transaction. Utilize it in contexts where automation of transaction preparation is required, such as in blockchain-based applications or cryptocurrency services.

Canonical page: https://skillsregistry.net/skills/cryptoapis-io-cryptoapis-mcp-prepare-transactions  
JSON: https://api.skillsregistry.net/v1/skills/cryptoapis-io-cryptoapis-mcp-prepare-transactions

## Description

MCP server for Crypto APIs Prepare Transactions product that builds unsigned EVM transactions for native coin, fungible token (ERC-20), and NFT (ERC-721) transfers.

## 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/w4yvpdywnq)
- **Repository:** <https://github.com/CryptoAPIs-io/cryptoapis-mcp-prepare-transactions>

## 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": "cryptoapis-io-cryptoapis-mcp-prepare-transactions"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cryptoapis-io-cryptoapis-mcp-prepare-transactions` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cryptoapis-io-cryptoapis-mcp-prepare-transactions/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