MCP Http Client

MCP HTTP Client Server

A powerful Model Context Protocol (MCP) server for making HTTP requests, GraphQL queries, and TCP/Telnet connections from AI assistants. Inspired by Postman but designed for AI-native workflows with enhanced response formatting, intelligent caching, and multiple content type support.

Why Use This?

• Seamlessly integrates with AI assistants like Claude
• 13.7x faster with intelligent LRU caching
• Auto-formatted JSON, status emojis, performance metrics
• JSON, form-data, URL-encoded - all supported
• very request shows response time
• atural language commands, no complex setup

Installation

Choose your preferred installation method:

Option 1: npm (Recommended for easy setup)

npm install -g @mcp/http-client

Option 2: Homebrew (macOS/Linux)

brew tap ferPrieto/mcp-http-client
brew install mcp-http-client

Option 3: GitHub Packages (for Kotlin/JVM projects)

Add the repository and dependency to your build.gradle.kts:

repositories {
    maven {
        url = uri("https://maven.pkg.github.com/ferPrieto/MCP-Http-Client")
        credentials {
            username = project.findProperty("gpr.user") as String? ?: System.getenv("GITHUB_ACTOR")
            password = project.findProperty("gpr.key") as String? ?: System.getenv("GITHUB_TOKEN")
        }
    }
}

dependencies {
    implementation("ferprieto.mcp:httpclient:1.0.0")
}

Note: GitHub Packages requires authentication. Generate a Personal Access Token with read:packages scope.

Option 4: Build from Source

git clone https://github.com/ferPrieto/MCP-Http-Client.git
cd MCP-Http-Client
./gradlew clean build

This generates build/libs/mcp-http-client-all.jar.

Configuration

Add to your MCP client configuration file:

• Cursor: ~/.cursor/mcp.json
• Claude Desktop: ~/Library/Application Support/Claude/claude_desktop_config.json

If installed via npm:

{
  "mcpServers": {
    "http-client": {
      "command": "npx",
      "args": ["@mcp/http-client"]
    }
  }
}

If installed via Homebrew:

{
  "mcpServers": {
    "http-client": {
      "command": "mcp-http-client"
    }
  }
}

If using JAR directly:

{
  "mcpServers": {
    "http-client": {
      "command": "java",
      "args": ["-jar", "/path/to/mcp-http-client-all.jar"]
    }
  }
}

Comparison with Postman

| Feature | MCP HTTP Client | Postman | |---------|----------------|---------| | Interface | 🤖 Natural Language | 🖱️ GUI | | Setup Time | ⚡ 1 minute | ⏱️ 5+ minutes | | HTTP Methods | ✅ All | ✅ All | | GraphQL | ✅ Native | ✅ Yes | | TCP/Telnet | ✅ Yes | ❌ No | | Content Types | ✅ JSON, Form, URL-encoded | ✅ Many | | Response Formatting | ✅ Auto pretty-print | ✅ Yes | | Performance Cache | ✅ 13.7x faster | ❌ No | | Response Time | ✅ Auto-tracked | ✅ Yes | | Cost | 🆓 Free & Open Source | 💰 Free/Paid | | AI Integration | ✅ Native | ❌ Manual |

Advanced Features

Content-Type Auto-Detection

The server automatically:

• Detects JSON responses and pretty-prints them
• Sets appropriate Content-Type headers based on bodyType
• Handles form-data with proper multipart boundaries
• URL-encodes form parameters automatically

Performance Metrics

Every request automatically tracks:

• Total request duration
• Response size
• Status codes
• Timing information

Roadmap

Future features planned for upcoming releases:

• Collections: Save and organize API requests (like Postman collections)
• Environments: Manage variables across different environments (Dev, Staging, Production)
• Authentication Helpers: Built-in support for Basic Auth, Bearer Token, API Key, OAuth2
• Request Chaining: Use response values in subsequent requests with variable substitution
• Postman Import: Import existing Postman collections for easy migration

License

MIT License

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Made with ❤️ for the AI-native development workflow. Simpler than Postman, faster than manual curl commands, perfect for AI assistants!

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: ferPrieto
• Source: ferPrieto/MCP-Http-Client
• License: MIT

Install and usage instructions live in the source repository linked above.