mcp-server-apidebug
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-server-apidebugDebug GET /api/users?page=1&limit=10"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-server-apidebug
English
MCP Server for API Debugging
A standalone MCP (Model Context Protocol) server for API debugging, login authentication, API configuration management, and indexed API execution.
Features
api_config: Manage API debugging configuration, Base URL, common Headers, and API list
api_debug: Execute API requests directly, supports GET/POST/PUT/DELETE/PATCH methods, query parameters, headers, body, automatic Content-Type detection
api_execute: Execute requests by index saved in api_config
api_login: Execute login requests based on environment variables
api_help: View API debugging tool documentation and examples
Installation
Global installation (Recommended):
npm install -g @liangshanli/mcp-server-apidebugLocal installation:
npm install @liangshanli/mcp-server-apidebugLocal Development
npm startOr start the server directly:
node src/server.jsQuick Self-Test
npm testThis will output the MCP tools/list result.
Environment Variables
Variable | Default | Description |
|
| Project directory; uses current directory when not set |
|
| Tool name prefix; default tools are |
| empty | Optional config directory override; generally not needed. When not set, uses |
| empty | API base URL; when configured, no need to set |
|
| Allowed HTTP methods, comma-separated |
|
| Login API URL |
|
| Login API method |
|
| Login request body, supports JSON string or plain string |
| empty | Login tool description |
|
| Header name for user ID (extracted from login response) |
MCP Configuration Example
{
"servers": {
"apidebug": {
"command": "npx",
"args": [
"@liangshanli/mcp-server-apidebug"
],
"env": {
"API_DEBUG_BASE_URL": "https://api.example.com",
"API_DEBUG_ALLOWED_METHODS": "GET,POST,PUT,DELETE,PATCH",
"API_DEBUG_LOGIN_URL": "/api/user/login",
"API_DEBUG_LOGIN_METHOD": "POST",
"API_DEBUG_LOGIN_BODY": "{\"username\":\"your_username\",\"password\":\"your_password\"}",
"API_DEBUG_LOGIN_USER_HEADER": "new-api-user",
"API_DEBUG_LOGIN_DESCRIPTION": "Execute login requests based on environment variables. Use api_config interface to handle login configuration after successful login."
}
}
}
}Configuration Storage
Default storage path:
{PROJECT_PATH}/.setting/{TOOL_PREFIX}/api.jsonIf PROJECT_PATH is not set, defaults to .; if TOOL_PREFIX is not set, defaults to default.
Usage Examples
Set Base URL:
{
"action": "updateBaseUrl",
"baseUrl": "https://api.example.com"
}Debug an API:
{
"url": "/api/users",
"method": "GET",
"query": {
"page": 1,
"limit": 10
}
}Add an API and execute by index:
{
"action": "addApi",
"api": {
"url": "/api/login",
"method": "POST",
"body": {
"username": "admin",
"password": "123456"
}
}
}{
"index": 0
}中文
API 调试 MCP 服务器
独立运行的 MCP (Model Context Protocol) 服务器,用于 API 调试、登录认证、API 配置管理和按索引执行 API 请求。
工具列表
api_config:管理 API 调试配置、Base URL、公共 Headers 和接口列表
api_debug:直接执行 API 请求,支持 GET/POST/PUT/DELETE/PATCH 方法、query 参数、headers、body,自动检测 Content-Type
api_execute:按
api_config中保存的接口索引执行请求api_login:根据环境变量执行登录请求
api_help:查看 API 调试工具说明和示例
安装依赖
全局安装(推荐):
npm install -g @liangshanli/mcp-server-apidebug本地安装:
npm install @liangshanli/mcp-server-apidebug本地运行
npm start或直接启动 server:
node src/server.js快速自检
npm test会输出 MCP tools/list 结果。
环境变量
变量 | 默认值 | 说明 |
|
| 项目目录;不设置时使用当前目录 |
|
| 工具名前缀;默认工具名为 |
| 空 | 可选覆盖配置目录;一般不需要设置。未设置时使用 |
| 空 | API 基础 URL;配置后无需再通过 |
|
| 允许执行的 HTTP 方法,逗号分隔 |
|
| 登录接口 URL |
|
| 登录接口方法 |
|
| 登录请求体,支持 JSON 字符串或普通字符串 |
| 空 | 登录工具说明 |
|
| 用户 ID 的 Header 名称(从登录响应中提取) |
MCP 配置示例
{
"servers": {
"apidebug": {
"command": "npx",
"args": [
"@liangshanli/mcp-server-apidebug"
],
"env": {
"API_DEBUG_BASE_URL": "https://api.example.com",
"API_DEBUG_ALLOWED_METHODS": "GET,POST,PUT,DELETE,PATCH",
"API_DEBUG_LOGIN_URL": "/api/user/login",
"API_DEBUG_LOGIN_METHOD": "POST",
"API_DEBUG_LOGIN_BODY": "{\"username\":\"your_username\",\"password\":\"your_password\"}",
"API_DEBUG_LOGIN_USER_HEADER": "new-api-user",
"API_DEBUG_LOGIN_DESCRIPTION": "根据环境变量执行登录请求。使用 api_config 接口处理登录成功后的配置。"
}
}
}
}配置保存路径
默认保存目录规则:
{PROJECT_PATH}/.setting/{TOOL_PREFIX}/api.json如果 PROJECT_PATH 不设置,则默认 .;如果 TOOL_PREFIX 不设置,则默认 default。
使用示例
设置 Base URL:
{
"action": "updateBaseUrl",
"baseUrl": "https://api.example.com"
}调试接口:
{
"url": "/api/users",
"method": "GET",
"query": {
"page": 1,
"limit": 10
}
}添加接口后按索引执行:
{
"action": "addApi",
"api": {
"url": "/api/login",
"method": "POST",
"body": {
"username": "admin",
"password": "123456"
}
}
}{
"index": 0
}Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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/liliangshan/mcp-server-apidebug'
If you have feedback or need assistance with the MCP directory API, please join our Discord server