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genlayer-cli-mcp

Name: genlayer-cli-mcp
Author: ngh1105

by ngh1105

Overview Schema Related Servers Score Discussions

JavaScript

Local

GenLayer CLI MCP

Servidor MCP para agentes de IA que necesitan trabajar con proyectos de GenLayer.

Expone:

genlayer: acceso completo a la CLI de GenLayer
genvm_lint: acceso a genvm-lint
genlayer_deploy: despliega contratos con genlayer-js
check_tools: verifica la disponibilidad de herramientas locales y la configuración de la clave privada

El servidor utiliza transporte stdio y ejecuta comandos con spawn(command, args).

Requisitos

Node.js 18+
GenLayer CLI disponible en PATH
GenVM linter disponible en PATH

Instala las herramientas externas:

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

Compruébalas:

genlayer --version
genvm-lint --version

Related MCP server: MCP Plus

Configuración de MCP

Si este paquete se publica en npm:

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

Si se ejecuta desde este repositorio:

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

Nombres de variables de entorno aceptados para la clave privada:

GENLAYER_PRIVATE_KEY
GENLAYER_PRV_KEY
GENLAYER_PRIVKEY
PRIVATE_KEY

La clave privada puede ser 0x más 64 caracteres hexadecimales o 64 caracteres hexadecimales sin formato. Si la clave configurada falta o no es válida, genlayer_deploy genera una nueva clave privada y despliega con ella en la misma llamada de herramienta. Cuando se genera una nueva clave, la respuesta la incluye para que puedas guardarla.

Desarrollo local

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

Ejecuta el servidor:

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

Empaqueta localmente:

npm pack

Publica en npm:

npm login
npm publish --access public

Herramientas

`check_tools`

Comprueba node, genlayer, python, genvm-lint y la configuración de la clave privada.

Ejemplo de prompt para IA:

Use MCP tool check_tools from genlayer-cli.

`genlayer`

Ejecuta genlayer <args...> con acceso completo al comando.

Ejemplo:

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

Ejemplo de despliegue a través de la CLI sin procesar:

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

`genvm_lint`

Ejecuta genvm-lint <args...>.

Ejemplo:

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

`genlayer_deploy`

Despliega un Contrato Inteligente a través de genlayer-js.

Esta es la herramienta de despliegue recomendada para agentes de IA porque maneja el respaldo de la clave privada:

Usa privateKey de la entrada de la herramienta si es válida.
De lo contrario, usa la clave privada de la variable de entorno de configuración de MCP si es válida.
De lo contrario, genera una nueva clave privada.
Despliega con la clave privada seleccionada/generada inmediatamente.

Ejemplo:

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

Campos opcionales:

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

Cadenas (chains) soportadas:

localnet
studionet
testnetAsimov
testnetBradbury

Ejemplos de configuración de agentes

Utiliza la misma definición de servidor MCP para agentes de codificación que admitan MCP sobre stdio. Reemplaza la clave privada con tu propia clave de testnet/local, o déjala inválida si deseas que genlayer_deploy genere una clave nueva durante el despliegue.

Codex

Añade este servidor MCP a tu configuración de MCP de Codex:

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

Prompt sugerido para Codex:

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

Añade el servidor MCP en la configuración de MCP de Antigravity:

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

Prompt sugerido para Antigravity:

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

Añade el servidor con el comando de adición de MCP de Claude Code:

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

Si tu configuración de Claude Code admite variables de entorno en la configuración de MCP, añade:

{
  "GENLAYER_PRIVATE_KEY": "0x_your_private_key_here"
}

Comando alternativo de fuente local:

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

Prompt sugerido para Claude Code:

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"
}

Seguridad

Este servidor MCP expone intencionalmente el acceso completo a los comandos de GenLayer. Los agentes de IA pueden ejecutar comandos que cambian el estado, como deploy, write, up, stop e init.

No pongas una clave privada de mainnet en la configuración de MCP a menos que confíes en el cliente de IA y en todas las herramientas habilitadas.

Available Tools

4 tools

check_toolsA

Check whether node, genlayer, python, and genvm-lint are available to this MCP server.

ParametersJSON Schema

Name	Required	Description	Default
No parameters

TDQS

A4.2/5.0

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It accurately describes a read-only check operation with no side effects. Could mention output format but adequate for simple health check.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence, front-loaded with purpose, no extraneous words. Highly concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema, but the simple check tool's behavior is largely conveyed. Could clarify what 'available' means (e.g., installed, running), but sufficiently complete for low complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters exist, so schema coverage is 100%. Description need not add parameter info. Baseline score of 4 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it checks availability of specific tools (node, genlayer, python, genvm-lint). Verb 'Check' plus explicit list distinguishes it from sibling tools that perform actions like deploy or lint.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives. It is implied it should be used as a precondition check, but no direct advice or exclusion criteria are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

genlayerB

Run the GenLayer CLI with full command access. This can perform state-changing operations.

ParametersJSON Schema

Name	Required	Description
`args`	No	Arguments passed to the command.
`cwd`	No	Working directory for the command. Defaults to the MCP server cwd.
`timeoutMs`	No	Timeout in milliseconds. Defaults to 120000.
`env`	No	Extra environment variables merged over the MCP server environment.

TDQS

B3.2/5.0

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description notes that it 'can perform state-changing operations', which is a key behavioral trait. However, no annotations are provided, and the description lacks details on security, error handling, or resource impact.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise with two sentences, no fluff. While efficient, it could include a bit more context without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (4 parameters, no output schema, no annotations), the description is adequate but not fully complete. It does not describe return values or potential side effects beyond stating state-changing operations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with clear parameter descriptions. The description does not add significant meaning beyond the schema, meeting the baseline for this dimension.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Run the GenLayer CLI' with 'full command access', distinguishing it from sibling tools like genlayer_deploy and genvm_lint. However, it is somewhat broad without specifying typical commands.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus the sibling tools. There is no mention of scenarios or alternatives, leaving the agent to infer usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

genlayer_deployB

Deploy a GenLayer Intelligent Contract with genlayer-js. Accepts privateKey; generates one when missing or invalid.

ParametersJSON Schema

Name	Required	Description	Default
`contractPath`	Yes	Path to the Intelligent Contract source file.
`privateKey`	No	GenLayer private key. If missing or invalid, a new private key is generated with genlayer-js.
`args`	No	Constructor arguments passed to deployContract.
`kwargs`	No	Keyword constructor arguments passed to deployContract.
`rpcUrl`	No	Custom GenLayer RPC endpoint.
`chain`	No	GenLayer chain used when creating the SDK client.	localnet
`cwd`	No	Base directory for resolving contractPath. Defaults to MCP server cwd.
`leaderOnly`	No
`consensusMaxRotations`	No
`initializeConsensus`	No
`autoFundLocalnet`	No	Call localnet sim_fundAccount before deploy. Only works on localnet.
`fundAmount`	No
`waitForReceipt`	No
`receiptStatus`	No		ACCEPTED
`receiptRetries`	No
`receiptIntervalMs`	No
`timeoutMs`	No
`exposePrivateKey`	No	Return the generated/used private key in output. Defaults false to avoid leaking secrets.

TDQS

B3.2/5.0

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

In the absence of annotations, the description bears full responsibility for disclosing behavioral traits. It mentions the key generation fallback for privateKey but fails to disclose other significant behaviors such as error handling, side effects, or return value structure. This is insufficient for an 18-parameter tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: two short sentences that front-load the core purpose and immediately add an important behavioral note. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (18 optional parameters, one required), the description is far from complete. It lacks information about error handling, output structure, behavior of optional parameters, or any post-deployment steps. An output schema would help, but it is absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 50%, so the baseline is 3. The description adds value by explaining the privateKey fallback behavior beyond the schema. However, it does not compensate for the remaining 50% of parameters that lack schema descriptions, resulting in only marginal improvement.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it deploys a GenLayer Intelligent Contract using genlayer-js, which is a specific verb-resource combination. It distinguishes itself from sibling tools like check_tools, genlayer, and genvm_lint, which serve different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention prerequisites or context for usage. It only describes the action without any contextual usage advice.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

genvm_lintC

Run genvm-lint for GenVM contract linting, validation, schema extraction, typechecking, setup, or downloads.

ParametersJSON Schema

Name	Required	Description
`args`	No	Arguments passed to the command.
`cwd`	No	Working directory for the command. Defaults to the MCP server cwd.
`timeoutMs`	No	Timeout in milliseconds. Defaults to 120000.
`env`	No	Extra environment variables merged over the MCP server environment.

TDQS

C2.5/5.0

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It fails to disclose behavioral traits like side effects (e.g., file modifications, network requests), error handling, or required permissions. The description does not elaborate on what the tool does beyond running a command.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise but lacks structure and prioritization. It lists multiple functions without highlighting the primary use case. It could be more efficiently organized.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool that runs a command, it is critical to mention that it returns stdout/stderr or exit code. No output schema is provided, and the description does not explain what the tool returns. Important behavioral context is missing, making it incomplete for an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, so the schema already documents the parameters (args, cwd, timeoutMs, env). The description adds no extra meaning beyond what the schema provides. Baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states that the tool runs genvm-lint for various tasks like linting, validation, schema extraction, etc., but it lists multiple purposes without a clear single focus. The verb 'Run' is generic and does not distinguish this tool from sibling tools like 'genlayer' or 'genlayer_deploy'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives, such as 'check_tools' or 'genlayer'. There is no mention of prerequisites, limitations, or context in which this tool is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

4 tool updatesv0.1.0May 3, 2026
- First observedcheck_tools
- First observedgenlayer
- First observedgenlayer_deploy
- First observedgenvm_lint

Install Server

RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

TDQS

B3.3/5.0

Disambiguation5/5

Each tool targets a clearly distinct function: checking environment availability, running arbitrary CLI commands, deploying contracts, and linting. No overlap in purpose.

Naming Consistency3/5

Tool names are inconsistent: 'check_tools' uses verb_noun, 'genlayer' is a single word, 'genlayer_deploy' and 'genvm_lint' use prefix_verb pattern. Mixed conventions reduce predictability.

Tool Count4/5

Four tools is reasonable for a CLI wrapper server, covering core operations without being too few or excessive.

Completeness4/5

The set covers essential actions: environment check, CLI execution, deployment, and linting. Missing other possible genlayer commands, but core workflow is covered.

Maintenance

ActivityInactive

ResponsivenessSyncing

Resources

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GenLayer CLI MCP

Requisitos

Configuración de MCP

Desarrollo local

Herramientas

check_tools

genlayer

genvm_lint

genlayer_deploy

Ejemplos de configuración de agentes

Codex

Antigravity

Claude Code

Seguridad

Available Tools

Tool Schema Changelog

Maintenance

Resources

Looking for Admin?

Related MCP Connectors

Related MCP Servers

OpenZeppelin Contracts MCPofficial

Latest Blog Posts

MCP directory API

`check_tools`

`genlayer`

`genvm_lint`

`genlayer_deploy`