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MCP Complete Implementation Guide

by saksham0712

read_file

Access and retrieve the contents of files from the local file system using a specified path to enable data reading and processing operations.

Instructions

Read the contents of a file

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesThe path to the file to read

Implementation Reference

  • Primary MCP tool handler for 'read_file' in Python server. Reads file using pathlib.Path.read_text and returns MCP TextContent.
    async def read_file(self, file_path: str) -> list[types.TextContent]: """Read file contents""" try: path = Path(file_path) content = path.read_text(encoding="utf-8") return [types.TextContent(type="text", text=content)] except Exception as error: raise Exception(f"Failed to read file: {str(error)}")
  • Primary MCP tool handler for 'read_file' in JavaScript server. Uses Node.js fs.promises.readFile and returns structured content response.
    async readFile(filePath) { try { const content = await fs.readFile(filePath, 'utf-8'); return { content: [ { type: 'text', text: content, }, ], }; } catch (error) { throw new Error(`Failed to read file: ${error.message}`); }
  • Input schema definition and registration for 'read_file' tool in Python MCP server.
    types.Tool( name="read_file", description="Read the contents of a file", inputSchema={ "type": "object", "properties": { "path": { "type": "string", "description": "The path to the file to read", } }, "required": ["path"], }, ),
  • Input schema definition and registration for 'read_file' tool in JavaScript MCP server.
    { name: 'read_file', description: 'Read the contents of a file', inputSchema: { type: 'object', properties: { path: { type: 'string', description: 'The path to the file to read', }, }, required: ['path'], },
  • Inline handler for 'read_file' in ChatGPT-OpenAI proxy server.
    case 'read_file': const content = await fs.readFile(args.path, 'utf-8'); return { success: true, content };

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