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keithah

Qwen3-Coder MCP Server

qwen3_code_review

Review code for quality and issues using AI analysis. Submit code with its programming language to receive feedback on improvements and potential problems.

Instructions

Review code using Qwen3-Coder

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesThe code to review
languageNoProgramming language of the code

Implementation Reference

  • The handler logic for the 'qwen3_code_review' tool. It constructs a prompt with the provided code and language, then calls the shared callQwen3Coder function to get the AI response.
          case "qwen3_code_review":
            prompt = `Please review the following ${args.language || 'code'} and provide feedback on code quality, potential bugs, best practices, and suggestions for improvement:
    
    \`\`\`${args.language || ''}
    ${args.code}
    \`\`\`
    
    Please provide a detailed code review with specific suggestions.`;
            result = await callQwen3Coder(prompt);
            break;
  • The input schema defining the parameters for the qwen3_code_review tool: requires 'code' string, optional 'language' string.
    inputSchema: {
      type: "object",
      properties: {
        code: {
          type: "string",
          description: "The code to review"
        },
        language: {
          type: "string",
          description: "Programming language of the code"
        }
      },
      required: ["code"]
    }
  • Registration of the qwen3_code_review tool in the ListTools response, including name, description, and schema.
    {
      name: "qwen3_code_review",
      description: "Review code using Qwen3-Coder",
      inputSchema: {
        type: "object",
        properties: {
          code: {
            type: "string",
            description: "The code to review"
          },
          language: {
            type: "string",
            description: "Programming language of the code"
          }
        },
        required: ["code"]
      }
    },
  • Shared helper function that spawns Ollama process to run qwen3-coder:30b model with the given prompt and returns the output.
    async function callQwen3Coder(prompt, options = {}) {
      return new Promise((resolve, reject) => {
        const ollamaProcess = spawn('ollama', ['run', 'qwen3-coder:30b', prompt], {
          stdio: ['pipe', 'pipe', 'pipe']
        });
    
        let output = '';
        let error = '';
    
        ollamaProcess.stdout.on('data', (data) => {
          output += data.toString();
        });
    
        ollamaProcess.stderr.on('data', (data) => {
          error += data.toString();
        });
    
        ollamaProcess.on('close', (code) => {
          if (code === 0) {
            resolve(output.trim());
          } else {
            reject(new Error(`Ollama process exited with code ${code}: ${error}`));
          }
        });
    
        // Set timeout for long-running requests
        setTimeout(() => {
          ollamaProcess.kill();
          reject(new Error('Request timeout'));
        }, options.timeout || 120000); // 2 minutes default timeout
      });
    }

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