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MCP 服务器 - 用于构建 MCP 服务器的 Node In Layers 包

该库增加了使用 Node In Layers 轻松创建 MCP 服务器的功能。

它有一个名为“@node-in-layers/mcp-client”的配套库,用于创建 MCP 客户端。这两个库在定义模型和工具方面共享相同的功能。

新建图层

此库为系统添加了一个新层mcp 。它应放置在express层之后。

Related MCP server: MCP Server

用法

为了使用这个库,您必须对您的配置进行添加,以及从您的应用程序/域中创建和导出“mcp”层。

配置

将此应用/域名添加到您的配置文件中。您应该在将工具添加到 MCP 服务器的应用程序之前执行此操作。

然后使用以下内容配置mcp app/domain:

const mcpConfig = {
  // (optional) The name of your MCP server.
  name: 'mcp',
  // (optional) The version of your MCP server.
  version: '1.0.0',
  // The server config from @l4t/mcp-ai/simple-server/types.js
  server: {
    connection: {
      type: 'http',
      host: 'localhost',
      port: 3000,
    },
  },
  logging: {
    // optional
    // If you want to change the default. Its 'info' by default.
    requestLogLevel: 'info',
    // If you want to change the default. Its 'info' by default.
    responseLogLevel: 'info',
  },
}

const config = {
  ['@node-in-layers/mcp-server']: mcpConfig,
}

创建 MCP 层

您可以通过从应用程序/域导出返回层的函数来创建 MCP 层。

// /src/yourDomain/mcp.ts
import { McpContext, McpNamespace } from '@node-in-layers/mcp-server'
import { Config } from '@node-in-layers/core'
import { YourFeaturesLayer } from './features.js'

const create = (context: McpContext<Config, YourFeaturesLayer>) => {
  // Adds your tool.
  context.mcp[McpNamespace].addTool({
    name: 'my-hello-world-tool',
    description: 'My Tool',
    execute: async (input: any) => {
      return 'Hello, world!'
    },
  })

  // Create a tool from your feature
  context.mcp[McpNamespace].addTool({
    name: 'my-hello-world-tool',
    description: 'My Tool',
    inputSchema: {
      type: 'object',
      properties: {
        name: {
          type: 'string',
        },
      },
      required: ['name'],
    },
    execute: (input: any) => {
      // You get an object, pass it back to your feature. Handles async for you.
      return context.features.yourDomain.yourFeature(input)
    },
  })

  return {}
}

export { create }

添加模型

您可以使用 CRUDS 函数包装您的模型,并通过 mcp 层将它们添加到 MCP 服务器。注意:为了实现此功能,您的层必须同时包含服务层和功能层。(除了您的模型之外。)层中的节点会自动为您的模型创建一个 cruds 属性,您可以添加它们。

下面是一个逐个执行的示例。(通常不推荐,但可行)。

// /src/yourDomain/mcp.ts
import { McpContext, McpNamespace } from '@node-in-layers/mcp-server'
import { Config } from '@node-in-layers/core'
import { YourFeaturesLayer } from './features.js'

const create = (context: McpContext<Config, YourFeaturesLayer>) => {
  // Adds your models cruds through features.
  context.mcp[McpNamespace].addModelCruds(
    context.features.yourFeature.cruds.Cars
  )

  return {}
}

这里有一种方法,让你真正用煤气做饭。(强烈推荐)

// /src/yourDomain/mcp.ts
import { McpContext, McpNamespace, mcpModels } from '@node-in-layers/mcp-server'
import { Config } from '@node-in-layers/core'
import { YourFeaturesLayer } from './features.js'

const create = (context: McpContext<Config, YourFeaturesLayer>) => {
  // This automatically adds ALL of your models from features.
  mcpModels('yourDomain')(context)

  return {}
}

另一种组织添加模型的方式是使用集中式 mcp 域。在所有其他域都加载完成后,将其作为最后一个域。

// /src/mcp/mcp.ts
import { McpContext, McpNamespace, mcpModels } from '@node-in-layers/mcp-server'
import { Config } from '@node-in-layers/core'

const create = (context: McpContext<Config>) => {
  // Add all your models for your whole system in one go.
  mcpModels('yourDomain')(context)
  mcpModels('yourDomain2')(context)
  mcpModels('yourDomain3')(context)
  mcpModels('yourDomain4')(context)

  return {}
}

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