Skip to main content
Glama

Vertex AI MCP Server

get_file_info.ts1.7 kB
import { McpError, ErrorCode } from "@modelcontextprotocol/sdk/types.js"; import { ToolDefinition, modelIdPlaceholder } from "./tool_definition.js"; import { z } from "zod"; import { zodToJsonSchema } from "zod-to-json-schema"; // Schema definition (adapted from example.ts) - Exported export const GetFileInfoArgsSchema = z.object({ path: z.string().describe("The path of the file or directory to get info for (relative to the workspace directory)."), }); // Convert Zod schema to JSON schema const GetFileInfoJsonSchema = zodToJsonSchema(GetFileInfoArgsSchema); export const getFileInfoTool: ToolDefinition = { name: "get_filesystem_info", // Renamed slightly description: "Retrieve detailed metadata about a file or directory within the workspace filesystem. " + "Returns comprehensive information including size (bytes), creation time, last modified time, " + "last accessed time, type (file/directory), and permissions (octal string). " + "This tool is perfect for understanding file characteristics without reading the actual content.", inputSchema: GetFileInfoJsonSchema as any, // Cast as any if needed // Minimal buildPrompt as execution logic is separate buildPrompt: (args: any, modelId: string) => { const parsed = GetFileInfoArgsSchema.safeParse(args); if (!parsed.success) { throw new McpError(ErrorCode.InvalidParams, `Invalid arguments for get_filesystem_info: ${parsed.error}`); } return { systemInstructionText: "", userQueryText: "", useWebSearch: false, enableFunctionCalling: false }; }, // No 'execute' function here };

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/shariqriazz/vertex-ai-mcp-server'

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