meta-api-mcp-server
You can connect any API to LLMs. This enables AI to interact directly with APIs
MCP 服务配置
复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用
{
"mcpServers": {
"meta-api-mcp-server": {
"args": [
"meta-api-mcp-server@1.0.4"
],
"command": "npx"
}
}
}
可用工具 (5 个)
该服务在 MCP 协议中暴露的工具,AI 可按需调用
tavily_search 14 个参数 需填 1 项
Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.
必填参数:query
tavily_extract 6 个参数 需填 1 项
Extract content from URLs. Returns raw page content in markdown or text format.
必填参数:urls
tavily_crawl 11 个参数 需填 1 项
Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
必填参数:url
tavily_map 8 个参数 需填 1 项
Map a website's structure. Returns a list of URLs found starting from the base URL.
必填参数:url
tavily_research 2 个参数 需填 1 项
Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.
必填参数:input
服务介绍
Meta API MCP Server
A meta API Gateway server that works with the Model Context Protocol (MCP). You can connect any API to LLMs (Claude, GPT, etc.) through MCP. This enables AI assistants to interact directly with APIs and access real-world data sources.
# Features
- 🔄 Multi-API support: Manage multiple APIs through a single server
- 🛠️ Easily add APIs with JSON configuration files
- 📋 Automatically convert Postman Collections to MCP tools
- 🔌 Comprehensive support for HTTP APIs (GET, POST, PUT, DELETE, PATCH)
- 🔒 Various authentication methods (API Key, Bearer Token)
- 📁 Load configurations from local files or remote URLs
- 📑 Support for configuration file lists
# API Editor Tool
A user-friendly editor tool has been developed to create or edit JSON configuration files:
# Installation
# # Global Installation with NPM (Recommended)
npm install -g meta-api-mcp-server
# # Installation from Source Code
git clone https://github.com/savhascelik/meta-api-mcp-server.git
cd meta-api-mcp-server
npm install
# Usage
# # As a Command Line Tool
# Load from default api-configs/ folder
meta-api-mcp-server
# Specify a configuration file (in the directory where you run the server, there should be a folder with this name and structured json in it)
meta-api-mcp-server path/to/config.json
# Load from a specific folder
meta-api-mcp-server path/to/configs/
# Load from a remote URL
meta-api-mcp-server https://example.com/api-config.json
# Load from a remote configuration list
meta-api-mcp-server https://example.com/config-list.json
# Load from a Postman Collection ( your filename must contain the word ‘postman’, I'll bind it to a variable when I have time )
meta-api-mcp-server path/to/My-API.postman_collection.json
# # Using with Cursor or Other MCP Clients
To connect to an MCP client like Cursor, configure your mcp.json file as follows:
{
"mcpServers": {
"myApiServer": {
"command": "meta-api-mcp-server",
"args": [
],
"env": {
"MCP_CONFIG_SOURCE":"api-configs/flexweather-endpoints.json",
"API_KEY": "your-api-key-here"
}
}
}
}
{
"mcpServers": {
"myApiServer": {
"command": "meta-api-mcp-server",
"args": [
"server.js",
"path/to/api-config.json"
],
"env": {
"EXAMPLE_API_KEY": "your-api-key-here"
}
}
}
}
{
"mcpServers": {
"flexweather": {
"command": "node",
"args": [
"server.js"
],
"env": {
"MCP_CONFIG_SOURCE":"api-configs/flexweather-endpoints.json"
}
}
}
}
{
"mcpServers": {
"lemonsqueezy": {
"command": "node",
"args": [
"server.js"
],
"env": {
"MCP_CONFIG_SOURCE":"api-configs/lemon-squeezy-api.json",
"LEMON_SQUEEZY_API_KEY": ""
}
}
}
}
# Postman Collection Conversion
Using your existing Postman collections with Meta API MCP Server is now very easy! You can use hundreds of ready-made APIs without writing a single line of code.
- Export your Postman collection (in v2.1.0 format)
- Start Meta API MCP Server with the collection file:
meta-mcp my-collection.postman_collection.json
-
The server will automatically:
- Analyze all endpoints
- Detect the authentication method
- Extract path/query parameters
- Analyze request body structure
- Create MCP tools
-
Add your API key to the
.envfile (the server will tell you which environment variable to use)
# # Supported Postman Collection Features
- ✅ Multi-level folder structure
- ✅ Bearer token authentication
- ✅ API Key authentication
- ✅ Path parameters
- ✅ Query parameters
- ✅ Headers
- ✅ JSON request body
- ✅ Postman variables (like {{api_url}})
# API Editor Tool
A user-friendly editor tool has been developed to create or edit JSON configuration files:
With this web tool, you can:
- Create API configurations through a visual interface
- Edit existing JSON configurations
- Convert Postman collections to MCP-compatible configuration files
- Validate configuration files
- Export your configurations as JSON
Postman Collections: You can upload your existing Postman collections to the editor tool and automatically convert them to MCP-compatible configurations. This allows you to quickly use your existing collections instead of configuring APIs from scratch.
The editor makes it easy to manage tool names, parameters, and all other configuration options.
# Project Structure
The codebase is organized in a modular way to facilitate maintenance and extension:
meta-api-mcp-server/
├── serve.js
├── api-configs/ # Default config directory
└── package.json
# API Configuration File Format
You can manually configure APIs using the following JSON format:
{
"apiId": "my-api",
"handlerType": "httpApi",
"baseUrl": "https://api.example.com",
"authentication": {
"type": "bearerToken",
"envVariable": "MY_API_TOKEN"
},
"endpoints": [
{
"mcpOperationId": "getUsers",
"description": "Get a list of users",
"targetPath": "/users",
"targetMethod": "GET",
"parameters": [
{
"name": "page",
"in": "query",
"required": false,
"type": "integer",
"description": "Page number"
}
]
}
]
}
# License
MIT