Skip to main content
Glama
JDJR2024

Markdownify MCP Server - UTF-8 Enhanced

by JDJR2024

image-to-markdown

Transform images into markdown format by extracting metadata and descriptions, enabling efficient content conversion with Markdownify MCP Server's UTF-8 enhanced capabilities.

Instructions

Convert an image to markdown, including metadata and description

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filepathYesAbsolute path of the image file to convert

Implementation Reference

  • MCP server handler for the 'image-to-markdown' tool (grouped with other file converters): validates filepath argument and delegates conversion to Markdownify.toMarkdown
    case tools.PDFToMarkdownTool.name:
    case tools.ImageToMarkdownTool.name:
    case tools.AudioToMarkdownTool.name:
    case tools.DocxToMarkdownTool.name:
    case tools.XlsxToMarkdownTool.name:
    case tools.PptxToMarkdownTool.name:
      if (!validatedArgs.filepath) {
        throw new Error("File path is required for this tool");
      }
      result = await Markdownify.toMarkdown({
        filePath: validatedArgs.filepath,
        projectRoot: validatedArgs.projectRoot,
        uvPath: validatedArgs.uvPath || process.env.UV_PATH,
      });
      break;
  • Core conversion logic for file-based tools like 'image-to-markdown': processes filepath by executing markitdown CLI, handles temp files, returns markdown path and content
    static async toMarkdown({
      filePath,
      url,
      projectRoot = path.resolve(__dirname, ".."),
      uvPath = "~/.local/bin/uv",
    }: {
      filePath?: string;
      url?: string;
      projectRoot?: string;
      uvPath?: string;
    }): Promise<MarkdownResult> {
      try {
        let inputPath: string;
        let isTemporary = false;
    
        if (url) {
          const response = await fetch(url);
          const content = await response.text();
          inputPath = await this.saveToTempFile(content);
          isTemporary = true;
        } else if (filePath) {
          inputPath = filePath;
        } else {
          throw new Error("Either filePath or url must be provided");
        }
    
        const text = await this._markitdown(inputPath, projectRoot, uvPath);
        const outputPath = await this.saveToTempFile(text);
    
        if (isTemporary) {
          fs.unlinkSync(inputPath);
        }
    
        return { path: outputPath, text };
      } catch (e: unknown) {
        if (e instanceof Error) {
          throw new Error(`Error processing to Markdown: ${e.message}`);
        } else {
          throw new Error("Error processing to Markdown: Unknown error occurred");
        }
      }
    }
  • Input/output schema definition for the 'image-to-markdown' tool using MCP ToolSchema
    export const ImageToMarkdownTool = ToolSchema.parse({
      name: "image-to-markdown",
      description:
        "Convert an image to markdown, including metadata and description",
      inputSchema: {
        type: "object",
        properties: {
          filepath: {
            type: "string",
            description: "Absolute path of the image file to convert",
          },
        },
        required: ["filepath"],
      },
    });
  • src/server.ts:31-35 (registration)
    Registers 'image-to-markdown' tool schema (via Object.values(tools)) for MCP listTools request
    server.setRequestHandler(ListToolsRequestSchema, async () => {
      return {
        tools: Object.values(tools),
      };
    });
  • Helper function that executes the markitdown CLI tool on the image filepath within the project's .venv to generate markdown output
    private static async _markitdown(
      filePath: string,
      projectRoot: string,
      uvPath: string,
    ): Promise<string> {
      const venvPath = path.join(projectRoot, ".venv");
      const markitdownPath = path.join(venvPath, "Scripts", "markitdown.exe");
    
      if (!fs.existsSync(markitdownPath)) {
        throw new Error("markitdown executable not found");
      }
    
      const { stdout, stderr } = await execAsync(
        `${venvPath}\\Scripts\\activate.bat && ${markitdownPath} "${filePath}"`,
      );
    
      if (stderr) {
        throw new Error(`Error executing command: ${stderr}`);
      }
    
      return stdout;
    }

Tool Definition Quality

Score is being calculated. Check back soon.

Install Server

Other Tools

Related 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/JDJR2024/markdownify-mcp-utf8'

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