Meta API Server
FreeNot checkedA meta API Gateway server that works with the Model Context Protocol (MCP), enabling AI assistants to connect to any API and access real-world data sources thro
About
A meta API Gateway server that works with the Model Context Protocol (MCP), enabling AI assistants to connect to any API and access real-world data sources through standardized MCP tools.
README
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
Install Meta API Server in Claude Desktop, Claude Code & Cursor
unyly install meta-api-mcp-serverInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add meta-api-mcp-server -- npx -y meta-api-mcp-serverFAQ
Is Meta API Server MCP free?
Yes, Meta API Server MCP is free — one-click install via Unyly at no cost.
Does Meta API Server need an API key?
No, Meta API Server runs without API keys or environment variables.
Is Meta API Server hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install Meta API Server in Claude Desktop, Claude Code or Cursor?
Open Meta API Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
by modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
by xuzexin-hzCompare Meta API Server with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All ai MCPs
