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genlayer-cli-mcp

v0.1.0

Published

MCP server exposing GenLayer CLI and GenVM linter commands.

Downloads

125

Readme

GenLayer CLI MCP

MCP server for AI agents that need to work with GenLayer projects.

It exposes:

  • genlayer: full access to the GenLayer CLI
  • genvm_lint: access to genvm-lint
  • genlayer_deploy: deploys contracts with genlayer-js
  • check_tools: verifies local tool availability and private key config

The server uses stdio transport and executes commands with spawn(command, args).

Requirements

  • Node.js 18+
  • GenLayer CLI available on PATH
  • GenVM linter available on PATH

Install the external tools:

npm install -g genlayer
py -3.12 -m pip install genvm-linter

Check them:

genlayer --version
genvm-lint --version

MCP Config

If this package is published to npm:

{
  "mcpServers": {
    "genlayer-cli": {
      "command": "npx",
      "args": ["-y", "genlayer-cli-mcp"],
      "env": {
        "GENLAYER_PRIVATE_KEY": "0x_your_private_key_here"
      }
    }
  }
}

If running from this repository:

{
  "mcpServers": {
    "genlayer-cli": {
      "command": "node",
      "args": ["E:\\genlayer-cli-mcp\\dist\\index.js"],
      "env": {
        "GENLAYER_PRIVATE_KEY": "0x_your_private_key_here"
      }
    }
  }
}

Accepted private key env names:

  • GENLAYER_PRIVATE_KEY
  • GENLAYER_PRV_KEY
  • GENLAYER_PRIVKEY
  • PRIVATE_KEY

The private key may be either 0x plus 64 hex characters or raw 64 hex characters. If the configured key is missing or invalid, genlayer_deploy generates a new private key and deploys with it in the same tool call. When a new key is generated, the response includes it so you can save it.

Local Development

cd E:\genlayer-cli-mcp
npm install
npm run build
npm run smoke

Run the server:

node E:\genlayer-cli-mcp\dist\index.js

Package locally:

npm pack

Publish to npm:

npm login
npm publish --access public

Tools

check_tools

Checks node, genlayer, python, genvm-lint, and private key config.

Example AI prompt:

Use MCP tool check_tools from genlayer-cli.

genlayer

Runs genlayer <args...> with full command access.

Example:

{
  "args": ["--version"]
}

Example deploy through the raw CLI:

{
  "args": [
    "deploy",
    "--contract",
    "E:\\path\\to\\contract.py",
    "--rpc",
    "http://localhost:4000/api"
  ],
  "timeoutMs": 120000
}

genvm_lint

Runs genvm-lint <args...>.

Example:

{
  "args": ["check", "E:\\path\\to\\contract.py"],
  "timeoutMs": 120000
}

genlayer_deploy

Deploys an Intelligent Contract through genlayer-js.

This is the recommended deploy tool for AI agents because it handles private key fallback:

  1. Use privateKey from the tool input if valid.
  2. Otherwise use private key from MCP config env if valid.
  3. Otherwise generate a new private key.
  4. Deploy with the selected/generated private key immediately.

Example:

{
  "contractPath": "E:\\path\\to\\contract.py",
  "chain": "localnet",
  "rpcUrl": "http://localhost:4000/api",
  "autoFundLocalnet": true,
  "waitForReceipt": true,
  "receiptStatus": "ACCEPTED",
  "timeoutMs": 120000
}

Optional fields:

{
  "privateKey": "0x...",
  "args": [],
  "kwargs": {},
  "cwd": "E:\\project",
  "leaderOnly": false,
  "consensusMaxRotations": 5,
  "initializeConsensus": true,
  "fundAmount": 10,
  "receiptRetries": 50,
  "receiptIntervalMs": 5000,
  "exposePrivateKey": false
}

Supported chains:

  • localnet
  • studionet
  • testnetAsimov
  • testnetBradbury

Agent Setup Examples

Use the same MCP server definition for coding agents that support MCP over stdio. Replace the private key with your own testnet/local key, or leave it invalid if you want genlayer_deploy to generate a fresh key during deploy.

Codex

Add this MCP server to your Codex MCP configuration:

{
  "mcpServers": {
    "genlayer-cli": {
      "command": "npx",
      "args": ["-y", "genlayer-cli-mcp"],
      "env": {
        "GENLAYER_PRIVATE_KEY": "0x_your_private_key_here"
      }
    }
  }
}

Suggested Codex prompt:

Use MCP tool check_tools from genlayer-cli and tell me whether deploy can use the configured private key.

Then lint my GenLayer contract with genvm_lint.

If lint passes, deploy it with genlayer_deploy using:
{
  "contractPath": "E:\\path\\to\\contract.py",
  "chain": "localnet",
  "rpcUrl": "http://localhost:4000/api",
  "autoFundLocalnet": true,
  "waitForReceipt": true,
  "receiptStatus": "ACCEPTED"
}

Antigravity

Add the MCP server in Antigravity's MCP settings:

{
  "mcpServers": {
    "genlayer-cli": {
      "command": "npx",
      "args": ["-y", "genlayer-cli-mcp"],
      "env": {
        "GENLAYER_PRIVATE_KEY": "0x_your_private_key_here"
      }
    }
  }
}

Suggested Antigravity prompt:

Use the genlayer-cli MCP server.

First call check_tools.
Then run genvm_lint on:
{
  "args": ["check", "E:\\path\\to\\contract.py"]
}

If the contract is valid, call genlayer_deploy. If the configured MCP private key is invalid, let the MCP tool generate a new private key and deploy with it automatically.

Claude Code

Add the server with Claude Code's MCP add command:

claude mcp add genlayer-cli -- npx -y genlayer-cli-mcp

If your Claude Code setup supports environment variables in MCP config, add:

{
  "GENLAYER_PRIVATE_KEY": "0x_your_private_key_here"
}

Alternative local-source command:

claude mcp add genlayer-cli -- node E:\genlayer-cli-mcp\dist\index.js

Suggested Claude Code prompt:

Use the genlayer-cli MCP server.

1. Call check_tools.
2. Run genvm_lint for E:\path\to\contract.py.
3. If lint succeeds, deploy with genlayer_deploy.
4. If the private key in MCP config is missing or invalid, generate a new private key and deploy with that generated key in the same tool call.

Arguments:
{
  "contractPath": "E:\\path\\to\\contract.py",
  "chain": "localnet",
  "rpcUrl": "http://localhost:4000/api",
  "autoFundLocalnet": true,
  "waitForReceipt": true,
  "receiptStatus": "ACCEPTED"
}

Security

This MCP server intentionally exposes full GenLayer command access. AI agents can run state-changing commands such as deploy, write, up, stop, and init.

Do not put a mainnet private key in MCP config unless you trust the AI client and all enabled tools.