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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

为需要处理 GenLayer 项目的 AI 代理提供的 MCP 服务器。

它公开了以下功能：

genlayer：完全访问 GenLayer CLI
genvm_lint：访问 genvm-lint
genlayer_deploy：使用 genlayer-js 部署合约
check_tools：验证本地工具可用性和私钥配置

该服务器使用 stdio 传输，并使用 spawn(command, args) 执行命令。

要求

Node.js 18+
PATH 中需包含 GenLayer CLI
PATH 中需包含 GenVM linter

安装外部工具：

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

检查它们：

genlayer --version
genvm-lint --version

Related MCP server: MCP Plus

MCP 配置

如果此包已发布到 npm：

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

如果从本仓库运行：

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

接受的私钥环境变量名称：

GENLAYER_PRIVATE_KEY
GENLAYER_PRV_KEY
GENLAYER_PRIVKEY
PRIVATE_KEY

私钥可以是 0x 开头加 64 位十六进制字符，也可以是原始的 64 位十六进制字符。如果配置的密钥缺失或无效，genlayer_deploy 会生成一个新的私钥，并在同一次工具调用中进行部署。当生成新密钥时，响应中会包含该密钥，以便您保存。

本地开发

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

运行服务器：

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

本地打包：

npm pack

发布到 npm：

npm login
npm publish --access public

工具

`check_tools`

检查 node、genlayer、python、genvm-lint 以及私钥配置。

AI 提示词示例：

Use MCP tool check_tools from genlayer-cli.

`genlayer`

运行 genlayer <args...>，拥有完全的命令访问权限。

示例：

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

通过原始 CLI 部署的示例：

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

`genvm_lint`

运行 genvm-lint <args...>。

示例：

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

`genlayer_deploy`

通过 genlayer-js 部署智能合约（Intelligent Contract）。

这是推荐给 AI 代理使用的部署工具，因为它处理了私钥回退机制：

如果有效，使用工具输入中的 privateKey。
否则，如果有效，使用 MCP 配置环境变量中的私钥。
否则，生成一个新的私钥。
立即使用选定/生成的私钥进行部署。

示例：

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

可选字段：

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

支持的链：

localnet
studionet
testnetAsimov
testnetBradbury

代理设置示例

对于支持通过 stdio 使用 MCP 的编码代理，请使用相同的 MCP 服务器定义。将私钥替换为您自己的测试网/本地密钥，或者如果希望 genlayer_deploy 在部署期间生成新密钥，则将其留空或设为无效。

Codex

将此 MCP 服务器添加到您的 Codex MCP 配置中：

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

建议的 Codex 提示词：

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

在 Antigravity 的 MCP 设置中添加该 MCP 服务器：

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

建议的 Antigravity 提示词：

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

使用 Claude Code 的 MCP 添加命令添加服务器：

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

如果您的 Claude Code 设置支持 MCP 配置中的环境变量，请添加：

{
  "GENLAYER_PRIVATE_KEY": "0x_your_private_key_here"
}

替代的本地源命令：

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

建议的 Claude Code 提示词：

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"
}

安全性

此 MCP 服务器有意公开了完整的 GenLayer 命令访问权限。AI 代理可以运行诸如 deploy、write、up、stop 和 init 等会改变状态的命令。

除非您信任 AI 客户端及所有启用的工具，否则请勿在 MCP 配置中放入主网私钥。

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

要求

MCP 配置

本地开发

工具

check_tools

genlayer

genvm_lint

genlayer_deploy

代理设置示例

Codex

Antigravity

Claude Code

安全性

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`