APIMatic Validator MCP Server

What does “APIMatic Validator” MCP Server do?

The APIMatic Validator MCP Server is a Model Context Protocol (MCP) server designed to validate OpenAPI 2.0 and 3.0 specification files using the APIMatic API. By acting as a bridge between AI assistants and the APIMatic validation service, it enables developers and tools to automate the process of verifying API specifications in both JSON and YAML formats. This integration streamlines workflows by providing LLMs and development platforms with the ability to submit OpenAPI files for validation and retrieve comprehensive summaries, helping ensure API documentation quality and compliance. The server is tailored for seamless MCP-based integrations, making it easy to incorporate into modern developer environments and AI-powered tools.

List of Prompts

No prompt templates are documented or mentioned in the repository.

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List of Resources

No explicit MCP resources are listed or described in the repository documentation.

List of Tools

• Validates OpenAPI files: The server exposes a tool to validate OpenAPI 2.0 and 3.0 files (in JSON and YAML formats) via the APIMatic API, providing validation summaries to the client.

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Use Cases of this MCP Server

• API Specification Validation
  Automatically validate OpenAPI 2.0 and 3.0 files in development pipelines to catch issues early and ensure adherence to standards.
• Continuous Integration (CI) Automation
  Integrate the validator into CI/CD workflows, allowing automated checks on API specs before deployment or publication.
• Documentation Quality Assurance
  Use the validator to regularly audit API documentation, ensuring it remains accurate and consistent.
• AI Assistant Integration
  Enable AI-powered code editors or chatbots to offer in-context API validation, assisting developers as they write or edit OpenAPI files.
• Client/Server Integration Testing
  Validate API contracts during integration testing to prevent mismatches between clients and server implementations.

How to set it up

Windsurf

1. Ensure Node.js v18+ is installed.
2. Add the server as a dependency using a generic package name:

   "@apimatic/apimatic-validator-mcp@latest"
   

3. Edit your mcpServers configuration to include:

   {
     "apimatic-validator": {
       "command": "npx",
       "args": ["@apimatic/apimatic-validator-mcp@latest"]
     }
   }
   

4. Save the configuration and restart Windsurf.
5. Verify that the server is running and accessible from your platform.

Securing API Keys

Use environment variables for the APIMatic API key:

{
  "apimatic-validator": {
    "inputs": {
      "apiKey": "${APIMATIC_API_KEY}"
    },
    "env": {
      "APIMATIC_API_KEY": "your-api-key-here"
    }
  }
}

Claude

1. Install Node.js v18+.
2. Add the server using:

   "@apimatic/apimatic-validator-mcp@latest"
   

3. Edit the Claude configuration file to include:

   {
     "mcpServers": {
       "apimatic-validator": {
         "command": "npx",
         "args": ["@apimatic/apimatic-validator-mcp@latest"]
       }
     }
   }
   

4. Save and restart Claude.
5. Confirm connection by submitting an OpenAPI file for validation.

Securing API Keys

Use environment variables:

{
  "mcpServers": {
    "apimatic-validator": {
      "env": {
        "APIMATIC_API_KEY": "your-api-key-here"
      }
    }
  }
}

Cursor

1. Ensure Node.js v18+ is available.
2. Add the MCP server:

   "@apimatic/apimatic-validator-mcp@latest"
   

3. Update the Cursor configuration:

   {
     "mcpServers": {
       "apimatic-validator": {
         "command": "npx",
         "args": ["@apimatic/apimatic-validator-mcp@latest"]
       }
     }
   }
   

4. Save, then restart Cursor.
5. Test the validation workflow with a sample OpenAPI file.

Securing API Keys

{
  "apimatic-validator": {
    "env": {
      "APIMATIC_API_KEY": "your-api-key-here"
    }
  }
}

Cline

1. Install Node.js v18+.
2. Add the MCP server to your project:

   "@apimatic/apimatic-validator-mcp@latest"
   

3. Update the Cline configuration:

   {
     "mcpServers": {
       "apimatic-validator": {
         "command": "npx",
         "args": ["@apimatic/apimatic-validator-mcp@latest"]
       }
     }
   }
   

4. Save configuration and restart Cline.
5. Validate by uploading an OpenAPI spec.

Securing API Keys

{
  "apimatic-validator": {
    "env": {
      "APIMATIC_API_KEY": "your-api-key-here"
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "apimatic-validator": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “apimatic-validator” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the above, the APIMatic Validator MCP Server offers basic but essential MCP integration for OpenAPI validation, with good setup instructions and strong security practices for API keys. However, it lacks documentation on prompt templates, resources, and sampling/roots support, which limits advanced MCP features. It is a solid, focused tool for its intended purpose.

MCP Score

My rating: 4/10.
The APIMatic Validator MCP Server is practical and clearly documented for setup and API validation, but lacks advanced MCP features and broader community adoption. It’s a focused utility for OpenAPI validation within MCP-enabled environments.