Skip to main content
Glama
topotal

Waroom MCP

by topotal

waroom_get_service_architecture_context

Retrieve architecture context for a specific service to understand its structure and dependencies within the Waroom MCP environment.

Instructions

特定のサービスのアーキテクチャコンテキストを取得します。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
service_nameYesサービス名

Implementation Reference

  • MCP tool handler that fetches the service architecture context using WaroomClient and returns it as JSON text content.
    async (params) => { try { const response = await waroomClient.getServiceArchitectureContext(params.service_name); return { content: [{ type: 'text', text: JSON.stringify(response, null, 2) }] }; } catch (error) { return { content: [{ type: 'text', text: `サービスアーキテクチャコンテキストの取得に失敗しました: ${error}` }] }; } }
  • Input schema for the tool, requiring a service_name string parameter.
    { service_name: z.string().min(1).max(100).describe('サービス名'), },
  • Registration of the MCP tool 'waroom_get_service_architecture_context' including schema and handler.
    server.tool( 'waroom_get_service_architecture_context', '特定のサービスのアーキテクチャコンテキストを取得します。', { service_name: z.string().min(1).max(100).describe('サービス名'), }, async (params) => { try { const response = await waroomClient.getServiceArchitectureContext(params.service_name); return { content: [{ type: 'text', text: JSON.stringify(response, null, 2) }] }; } catch (error) { return { content: [{ type: 'text', text: `サービスアーキテクチャコンテキストの取得に失敗しました: ${error}` }] }; } } );
  • Helper method in WaroomClient that performs the API call to retrieve service architecture context.
    async getServiceArchitectureContext(serviceName: string) { try { const response = await this.axiosInstance.get(`${this.baseUrl}/services/${serviceName}/service_architecture_context`); return response.data; } catch (error) { throw new Error(`Failed to get service architecture context: ${error}`); } }

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/topotal/waroom-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server