Skip to main content
Glama
masseater
by masseater

upload_file

Upload files to process and index them for searchable knowledge retrieval using RAG (Retrieval-Augmented Generation) technology.

Instructions

Upload a file to the FileSearchStore for RAG indexing. The file will be processed and made searchable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filePathYesAbsolute path to the file to upload (e.g., /path/to/document.pdf)
mimeTypeNoMIME type of the file (e.g., application/pdf, text/markdown). Auto-detected if not provided.
displayNameNoDisplay name for the file in the store. Uses filename if not provided.
metadataNoCustom metadata as key-value pairs. Values can be strings or numbers. Maximum 20 entries per document. Example: {"category": "guide", "year": 2025}

Implementation Reference

  • The execute method contains the core handler logic for the 'upload_file' tool: ensures the store exists, determines display name and MIME type, prepares upload arguments including metadata conversion, calls geminiClient.uploadFile, and returns the result.
    async execute(args: UploadFileArgs): Promise<MCPToolResponse<UploadFileResult>> {
      const { geminiClient, storeDisplayName } = this.context;
    
      // Ensure store exists
      const store = await geminiClient.ensureStore(storeDisplayName);
    
      // Determine display name
      const displayName = args.displayName ?? basename(args.filePath);
    
      // Auto-detect MIME type if not provided
      let mimeType = args.mimeType;
      if (!mimeType) {
        const ext = args.filePath.split(".").pop()?.toLowerCase();
        mimeType = this.getMimeTypeFromExtension(ext ?? "");
      }
    
      // Upload file
      const uploadArgs: {
        storeName: string;
        filePath: string;
        mimeType: string;
        displayName: string;
        metadata?: CustomMetadata[];
      } = {
        storeName: store.name,
        filePath: args.filePath,
        mimeType,
        displayName,
      };
    
      if (args.metadata) {
        uploadArgs.metadata = convertMetadataInput(args.metadata);
      }
    
      const result = await geminiClient.uploadFile(uploadArgs);
    
      return {
        success: true,
        message: `File uploaded successfully: ${displayName}`,
        data: {
          documentName: result.documentName,
          filePath: args.filePath,
          displayName,
          storeName: store.name,
        },
      };
    }
  • Defines the UploadFileArgs and UploadFileResult types, the tool name and description, and the Zod input schema via getInputSchema() for the 'upload_file' tool.
    type UploadFileArgs = {
      filePath: string;
      mimeType?: string;
      displayName?: string;
      metadata?: MetadataInput;
    };
    
    type UploadFileResult = {
      documentName: string;
      filePath: string;
      displayName: string;
      storeName: string;
    };
    
    export class UploadFileTool extends BaseTool<UploadFileArgs> {
      readonly name = "upload_file";
      readonly description =
        "Upload a file to the FileSearchStore for RAG indexing. The file will be processed and made searchable.";
    
      getInputSchema() {
        return z.object({
          filePath: z
            .string()
            .describe(
              "Absolute path to the file to upload (e.g., /path/to/document.pdf)",
            ),
          mimeType: z
            .string()
            .optional()
            .describe(
              "MIME type of the file (e.g., application/pdf, text/markdown). Auto-detected if not provided.",
            ),
          displayName: z
            .string()
            .optional()
            .describe(
              "Display name for the file in the store. Uses filename if not provided.",
            ),
          metadata: z
            .record(z.union([z.string(), z.number()]))
            .optional()
            .describe(
              "Custom metadata as key-value pairs. Values can be strings or numbers. Maximum 20 entries per document. Example: {\"category\": \"guide\", \"year\": 2025}",
            ),
        });
      }
  • Instantiates the UploadFileTool with context and stores it in the tool instances map during registry initialization.
    initialize(context: ToolContext): void {
      // Manual tool registration for safety and explicit review
      const tools: Tool[] = [
        new UploadFileTool(context),
        new UploadContentTool(context),
        new QueryTool(context),
      ];
    
      for (const tool of tools) {
        this.toolInstances.set(tool.name, tool);
      }
    
      console.log(`✅ ToolRegistry initialized with ${String(this.toolInstances.size)} tools`);
    }
  • Registers all tools, including 'upload_file', with the MCP server using the tool's name, description, input schema, and bound handler method.
    setupToolHandlers(): void {
      for (const tool of this.toolInstances.values()) {
        // Pass Zod schema directly to MCP SDK
        // SDK handles JSON Schema conversion internally for both stdio and HTTP transports
        this.server.registerTool(
          tool.name,
          {
            description: tool.description,
            inputSchema: tool.getInputSchema().shape,
          },
          tool.handler.bind(tool) as never,
        );
        this.registeredTools.push(tool.name);
      }
    }

Tool Definition Quality

Score is being calculated. Check back soon.

Install Server

Other Tools

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/masseater/gemini-rag-mcp'

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