Guide to MCP-Skills Features

Why did we create EchoAPI? We didn't want to make just another manual API tool like Postman. We wanted to use AI to make it the "best partner" for AI code editors like Cursor, Codex, Claude Code, and Trace.

Normally, making software needs "two hands". One hand uses the code editor (to write code and create APIs), and the other hand uses an API tool (to test those APIs). In the past, these two tools were completely separate and didn't talk to each other.

But now, thanks to AI-MCP-Skills technology, we can connect them automatically to work together. We can do two main things:

Auto-Scan Code to Create APIs: The AI looks at the code in your editor and makes an API list. This list is automatically saved to EchoAPI using MCP. You can then easily test and manage your APIs.
Auto-Write Code from APIs: We can also send your existing API list from EchoAPI back to your code editor using MCP. The AI then writes code based on your real APIs. This stops the AI from guessing or making mistakes when writing code.

I. How to Connect MCP-Skills

1.1 Make the EchoAPI mcp-json file

First, create your configuration file. Copy the JSON structure below:

mcp.json

{
  "mcpServers": {
    "echoapi-mcp": {
      "url": "https://open.echoapi.com/mcp",
      "headers": {
        "api-token": "Paste your EchoAPI Token"
      }
    }
  }
}

Note: You can find the api-token in EchoAPI by going to Advanced → OpenAPI → Create. Save and copy the token as shown in the picture below:

1.2 Setup the Connection (Using Cursor as an example)

Open [Tools & MCPs] in Cursor's settings, and click [Add custom MCP] to make a new connection.

Then, copy the mcp.json code from step 1.1 and paste it into Cursor.

II. Automatically Scan Code to Generate API Lists and Sync to EchoAPI

Transform the traditional "develop first, document later" workflow. Using natural language commands in mainstream AI programming tools, the large language model can automatically scan your current business code structure to precisely parse interface paths, request parameters, and response formats.

Seamless Synchronization: Automatically calls EchoAPI's write capabilities to transform your code structure into standard API assets.
Ready to Use: The generated interfaces come with request URLs and standardized naming, making them immediately visible and debuggable for team members.
Eliminate Lag: It makes sure your API documents always match your latest code 100%.

III. Get API Lists from EchoAPI to Generate Code

For older or ongoing company projects, the AI can read your current EchoAPI list and use it as a strict rulebook. This helps the AI write much better and more accurate code.

Accurate Code: Automatically generates frontend or backend calling layer code with complete parameter validation based on real interface specifications.
Comprehensive Testing: Rapidly and in bulk generates unit test cases covering various boundary conditions based on existing API definitions.
Full-Stack Adaptability: It supports popular coding languages like Java, Python, Node.js, PHP, and Go, allowing for smooth integration into existing projects.

Supported Languages

JavaPythonNode.jsPHPGoTypeScript