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jethroHuang

Fetch API MCP Server

by jethroHuang

request

Send HTTP requests with customizable methods, headers, and data formats to interact with web APIs and fetch resources.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
methodNoGET
headersNo
formDataNo
jsonDataNo
cookiesNo

Implementation Reference

  • The fetchApiHandler function implements the core logic of the 'request' tool, handling HTTP requests with support for methods, headers, formData, jsonData, cookies, response parsing (JSON/text/binary as base64), and error handling.
    export async function fetchApiHandler({ url, method, headers = {}, formData, jsonData, cookies }) {
      try {
        // 准备请求选项
        const options = {
          method,
          headers: { ...headers },
        };
    
        // 处理cookies
        if (cookies && Object.keys(cookies).length > 0) {
          const cookieString = Object.entries(cookies)
            .map(([key, value]) => `${key}=${value}`)
            .join('; ');
          options.headers.Cookie = cookieString;
        }
    
        // 处理请求体
        if (method !== 'GET' && method !== 'HEAD') {
          if (formData && Object.keys(formData).length > 0) {
            // 处理表单数据
            const form = new URLSearchParams();
            Object.entries(formData).forEach(([key, value]) => {
              form.append(key, value);
            });
            options.body = form.toString();
            options.headers['Content-Type'] = 'application/x-www-form-urlencoded';
          } else if (jsonData) {
            // 处理JSON数据
            options.body = JSON.stringify(jsonData);
            options.headers['Content-Type'] = 'application/json';
          }
        }
    
        // 发送请求
        const response = await fetch(url, options);
        
        // 获取响应头
        const responseHeaders = {};
        response.headers.forEach((value, key) => {
          responseHeaders[key] = value;
        });
    
        // 尝试解析响应体
        let data;
        const contentType = response.headers.get('content-type');
        
        if (contentType?.includes('application/json')) {
          data = await response.json();
        } else if (contentType?.includes('text/')) {
          data = await response.text();
        } else {
          // 对于二进制数据,转换为base64字符串
          const buffer = await response.arrayBuffer();
          data = Buffer.from(buffer).toString('base64');
        }
    
        // 返回结果
        return {
          status: response.status,
          statusText: response.statusText,
          headers: responseHeaders,
          data,
        };
      } catch (error) {
        // 处理错误
        return {
          status: 500,
          statusText: 'Internal Server Error',
          headers: {},
          data: {
            error: error.message,
            stack: error.stack,
          },
        };
      }
    } 
  • Zod input schema defining validation for 'request' tool parameters: url (required), method (default GET), optional headers, formData, jsonData, cookies.
    const inputSchema = {
      url: z.string().url(),
      method: z.enum(['GET', 'POST', 'PUT', 'DELETE', 'PATCH', 'HEAD', 'OPTIONS']).default('GET'),
      headers: z.record(z.string()).optional(),
      formData: z.record(z.string()).optional(),
      jsonData: z.any().optional(),
      cookies: z.record(z.string()).optional(),
    };
  • src/index.js:25-37 (registration)
    MCP server.tool registration for 'request' tool, providing schema, a thin wrapper handler calling fetchApiHandler and formatting MCP response, and a detailed description.
    server.tool(
      'request',
      inputSchema,
      async (params) => {
        const result = await fetchApiHandler(params);
        return {
          content: [{ type: "text", text: JSON.stringify(result, null, 2) }]
        };
      },
      {
        description: '发送API请求并返回结果。使用方法:传入url(必需)、method(可选,默认GET)、headers(可选)、formData(可选,用于表单数据)、jsonData(可选,用于JSON数据)和cookies(可选)参数。例如:{ "url": "https://example.com/api", "method": "POST", "headers": {"Content-Type": "application/json"}, "jsonData": {"key": "value"}, "cookies": {"key": "value"} }。GET请求示例:{ "url": "https://example.com/api" }。返回包含status、statusText、headers和data的响应对象。'
      }
    );
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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