# EVM MCP Server

> Use this tool when you need to interact with EVM-compatible blockchain networks, such as Ethereum, Polygon, or Arbitrum, to query data, execute smart contracts, or analyze transactions. It provides access to JSON-RPC methods through a natural language interface, enabling users to check balances, estimate gas, and retrieve logs. Ideal for use cases requiring comprehensive blockchain data access and smart contract interaction, including development, analysis, and automation tasks.

Canonical page: https://skillsregistry.net/skills/jamesanz-evm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jamesanz-evm-mcp

## Description

Provides comprehensive access to Ethereum Virtual Machine (EVM) JSON-RPC methods for querying blockchain data, executing smart contract calls, and interacting with any EVM-compatible network including Ethereum, Polygon, Arbitrum, and more. Enables users to check balances, analyze transactions, estimate gas, retrieve logs, and perform blockchain operations through natural language.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **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/ghtzb6wkw0)
- **Repository:** <https://github.com/JamesANZ/evm-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": "jamesanz-evm-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jamesanz-evm-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jamesanz-evm-mcp/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