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IRIS ObjectScript MCP Server

by sorodriguezz
call-schema.request.ts1.86 kB
import { fetchClassDoc } from "../loaders/docLoader.js"; import { fetchDocByKey } from "../loaders/htmlLoader.js"; import { searchInCache, smartSearch } from "../search/smartSearch.js"; export const callShema = async (request: any) => { const { name, arguments: args } = request.params; switch (name) { case "smart_search": { const query = args?.q as string; const suggestedKeys = args?.keys as string[] | undefined; if (!query) { throw new Error("Query is required"); } const result = await smartSearch(query, suggestedKeys); return { content: [ { type: "text", text: result.finalResults, }, ], }; } case "search_objectscript": { const query = args?.q as string; if (!query) { throw new Error("Query is required"); } const results = await searchInCache(query); return { content: [ { type: "text", text: `Resultados de búsqueda para "${query}":\n\n${results}`, }, ], }; } case "open_by_key": { const key = args?.key as string; if (!key) { throw new Error("Key is required"); } const content = await fetchDocByKey(key); return { content: [ { type: "text", text: content.text, }, ], }; } case "open_class": { const className = args?.class as string; if (!className) { throw new Error("Class name is required"); } const doc = await fetchClassDoc(className); return { content: [ { type: "text", text: doc.text, }, ], }; } default: throw new Error(`Unknown tool: ${name}`); } };

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