loading…
Search for a command to run...
loading…
MCP server for AI agents to work with GenLayer projects, providing tools to run GenLayer CLI, lint contracts, and deploy contracts with automatic private key ha
MCP server for AI agents to work with GenLayer projects, providing tools to run GenLayer CLI, lint contracts, and deploy contracts with automatic private key handling.
MCP server for AI agents that need to work with GenLayer projects.
It exposes:
genlayer: full access to the GenLayer CLIgenvm_lint: access to genvm-lintgenlayer_deploy: deploys contracts with genlayer-jscheck_tools: verifies local tool availability and private key configThe server uses stdio transport and executes commands with spawn(command, args).
PATHPATHInstall the external tools:
npm install -g genlayer
py -3.12 -m pip install genvm-linter
Check them:
genlayer --version
genvm-lint --version
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_KEYGENLAYER_PRV_KEYGENLAYER_PRIVKEYPRIVATE_KEYThe 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.
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
check_toolsChecks node, genlayer, python, genvm-lint, and private key config.
Example AI prompt:
Use MCP tool check_tools from genlayer-cli.
genlayerRuns 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_lintRuns genvm-lint <args...>.
Example:
{
"args": ["check", "E:\\path\\to\\contract.py"],
"timeoutMs": 120000
}
genlayer_deployDeploys an Intelligent Contract through genlayer-js.
This is the recommended deploy tool for AI agents because it handles private key fallback:
privateKey from the tool input if valid.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:
localnetstudionettestnetAsimovtestnetBradburyUse 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.
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"
}
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.
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"
}
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.
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"genlayer-cli-mcp": {
"command": "npx",
"args": []
}
}
}