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MCP Proxy Tool awakecoding

cli http-proxy json-rpc mcp model-context-protocol proxy
Use this command to install MCP Proxy Tool:
winget install --id=awakecoding.mcp-proxy-tool -e

A command-line proxy tool that forwards Model Context Protocol (MCP) requests to HTTP, STDIO, or named pipe-based MCP servers. Supports multiple transport modes and cross-platform operation. This Windows package provides the native Windows executable with proper permissions and path integration.

MCP Proxy Tool is a command-line utility designed to forward Model Context Protocol (MCP) requests to HTTP, STDIO, or named pipe-based MCP servers. It serves as a versatile bridge, enabling seamless communication between different MCP transport protocols and ensuring compatibility across platforms.

Key Features:

  • Triple Transport Support: Connects to HTTP-based, STDIO-based, and named pipe-based MCP servers.
  • JSON-RPC 2.0 Compatibility: Fully supports the MCP protocol specifications for robust communication.
  • High Performance: Built in Rust with async/await for optimal speed and efficiency.
  • Configurable Timeouts: Adjustable settings for HTTP requests to suit specific needs.
  • Verbose Logging: Detailed logging options for debugging and monitoring.
  • Cross-Platform Operation: Supports Windows, macOS, and Linux (x86_64 and ARM64).

Audience & Benefit: Ideal for developers and integrators working with MCP servers, this tool simplifies the process of connecting to different server types without rewriting client code. It enables seamless interaction between clients and diverse MCP implementations, enhancing flexibility and reducing integration complexity.

README

MCP Proxy Tool

A high-performance MCP (Model Context Protocol) proxy tool written in Rust that enables connections to HTTP-based, STDIO-based, and named pipe-based MCP servers. This tool acts as a bridge, converting between different MCP transport protocols and making MCP servers accessible through a unified interface.

Features

  • Triple Transport Support: Connect to HTTP, STDIO, and named pipe-based MCP servers
  • HTTP Transport: Proxy requests to remote HTTP-based MCP servers (like Microsoft Learn)
  • STDIO Transport: Launch and communicate with executable MCP servers over stdin/stdout
  • Named Pipe Transport: Connect to MCP servers over named pipes (Unix sockets + Windows named pipes)
  • JSON-RPC 2.0 Compatible: Full support for MCP protocol specifications
  • High Performance: Built in Rust with async/await for optimal performance
  • Configurable Timeouts: Adjustable timeout settings for HTTP requests
  • Verbose Logging: Optional detailed logging for debugging and monitoring
  • Cross-Platform: Supports Windows, macOS, and Linux (x86_64 and ARM64 architectures)

Installation

Package Managers (Recommended)

Cargo (Rust Package Manager)

cargo install mcp-proxy-tool

Windows

Chocolatey (under review - available soon)

choco install mcp-proxy-tool

Winget (coming soon)

winget install awakecoding.mcp-proxy-tool

macOS & Linux

Homebrew (coming soon)

brew tap awakecoding/tap
brew install mcp-proxy-tool

Pre-built Binaries

📥 Download from GitHub Releases

Download the latest release for your platform from the GitHub Releases page.

Windows

  1. Download mcp-proxy-tool-windows-x64.zip (Intel/AMD) or mcp-proxy-tool-windows-arm64.zip (ARM64)
  2. Extract the ZIP file
  3. Add the extracted directory to your PATH or run directly
Versions
0.1.0
Website
github.com
License
Last Updated
8/29/2025

Installable via winget on Windows, MCP Proxy Tool is a powerful solution for bridging communication gaps in MCP-based systems.

macOS

  1. Download mcp-proxy-tool-macos-x64.zip (Intel) or mcp-proxy-tool-macos-arm64.zip (Apple Silicon)
  2. Extract: unzip mcp-proxy-tool-*.zip
  3. Move to PATH: sudo mv mcp-proxy-tool /usr/local/bin/

Linux

  1. Download mcp-proxy-tool-linux-x64.zip (x86_64) or mcp-proxy-tool-linux-arm64.zip (ARM64)
  2. Extract: unzip mcp-proxy-tool-*.zip
  3. Move to PATH: sudo mv mcp-proxy-tool /usr/local/bin/

From Source

Prerequisites: Rust (latest stable version)

git clone https://github.com/awakecoding/mcp-proxy-tool.git
cd mcp-proxy-tool
cargo build --release

The compiled binary will be available at target/release/mcp-proxy-tool.

Usage

Command Line Options

Usage: mcp-proxy-tool [-u ] [-c ] [-a ] [-p ] [-t ] [-v]

Options:
  -u, --url         URL of the remote HTTP-based MCP server to proxy requests to
  -c, --command     command to execute for STDIO-based MCP server
  -a, --args        arguments for the STDIO-based MCP server command
  -p, --pipe        path to named pipe for named pipe-based MCP server
  -t, --timeout     timeout in seconds for HTTP requests (ignored for STDIO and named pipe)
  -v, --verbose     enable verbose logging
  --help, help      display usage information

HTTP Transport (Remote MCP Server)

Connect to a remote HTTP-based MCP server:

# Connect to Microsoft Learn MCP server
./target/release/mcp-proxy-tool -u https://learn.microsoft.com/api/mcp

# With verbose logging and custom timeout
./target/release/mcp-proxy-tool -u https://learn.microsoft.com/api/mcp -v -t 60

STDIO Transport (Local Executable)

Launch and connect to a local executable MCP server:

# Connect to a Python MCP server
./target/release/mcp-proxy-tool -c python3 -a mcp_server.py

# Connect to a Node.js MCP server with arguments
./target/release/mcp-proxy-tool -c node -a "server.js --config config.json"

# With verbose logging
./target/release/mcp-proxy-tool -c python3 -a mcp_server.py -v

Named Pipe Transport (Local Socket-based)

Connect to an MCP server over named pipes (cross-platform):

Unix/Linux/macOS:

# Connect to a Unix domain socket
./target/release/mcp-proxy-tool -p /tmp/mcp_server.sock

# Connect to a FIFO named pipe
./target/release/mcp-proxy-tool -p /var/run/mcp/server.pipe -v

Windows:

# Connect to a Windows named pipe (short form)
mcp-proxy-tool.exe -p mcp_server

# Connect to a Windows named pipe (full path)
mcp-proxy-tool.exe -p \\.\pipe\mcp_server -v

PowerShell Examples:

# List tools from Windows named pipe MCP server
'{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | .\mcp-proxy-tool.exe -p mcp_server

# Call tool with verbose logging
'{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"example","arguments":{"text":"Hello Windows!"}}}' | .\mcp-proxy-tool.exe -p \\.\pipe\mcp_server -v

Basic Usage

# Use default Microsoft Learn MCP server
echo '{"method": "tools/list", "params": {}}' | ./target/debug/mcp-proxy-tool

# Use custom MCP server with verbose logging
echo '{"method": "tools/list", "params": {}}' | ./target/debug/mcp-proxy-tool --url "https://your-server.com/mcp" --verbose

# Set custom timeout
./target/debug/mcp-proxy-tool --timeout 60 --verbose

# Search Microsoft Learn documentation
echo '{"method": "tools/call", "params": {"name": "microsoft_docs_search", "arguments": {"question": "Azure Functions"}}}' | ./target/debug/mcp-proxy-tool

MCP Protocol Communication Examples

HTTP Transport with Microsoft Learn

# Initialize connection
echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}' | ./target/release/mcp-proxy-tool -u https://learn.microsoft.com/api/mcp

# List available tools
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | ./target/release/mcp-proxy-tool -u https://learn.microsoft.com/api/mcp

# Call a tool
echo '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"microsoft_docs_search","arguments":{"question":"How to use Azure Functions?"}}}' | ./target/release/mcp-proxy-tool -u https://learn.microsoft.com/api/mcp

STDIO Transport with Custom Server

# List tools from Python MCP server
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | ./target/release/mcp-proxy-tool -c python3 -a echo_server.py

# Call tool via STDIO transport
echo '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"echo","arguments":{"text":"Hello STDIO!"}}}' | ./target/release/mcp-proxy-tool -c python3 -a echo_server.py

Named Pipe Transport with Socket Server

# List tools from named pipe MCP server
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | ./target/release/mcp-proxy-tool -p /tmp/mcp_server.sock

# Call tool via named pipe transport
echo '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"pipe_echo","arguments":{"message":"Hello Named Pipe!"}}}' | ./target/release/mcp-proxy-tool -p /tmp/mcp_server.sock -v

Windows Named Pipe Support

Windows Named Pipe Paths

Windows named pipes use a different path format than Unix:

  • Short form: pipename (automatically converted to \\.\pipe\pipename)
  • Full form: \\.\pipe\pipename (explicit Windows named pipe path)

Windows Command Examples

Command Prompt:

REM List tools from Windows named pipe MCP server
echo {"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}} | mcp-proxy-tool.exe -p mcp_server

REM Call tool with full pipe path
echo {"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"example","arguments":{"text":"Hello Windows!"}}} | mcp-proxy-tool.exe -p \\.\pipe\mcp_server -v

PowerShell:

# List tools from Windows named pipe MCP server
'{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | .\mcp-proxy-tool.exe -p mcp_server

# Call tool with verbose logging
'{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"example","arguments":{"text":"Hello Windows!"}}}' | .\mcp-proxy-tool.exe -p \\.\pipe\mcp_server -v

Creating a Windows Named Pipe MCP Server

Example Python server for Windows (requires pywin32):

import win32pipe
import win32file
import json
import threading

def handle_client(pipe):
    while True:
        try:
            # Read request
            result, data = win32file.ReadFile(pipe, 4096)
            request = json.loads(data.decode('utf-8').strip())
            
            # Process request (example)
            if request.get('method') == 'tools/list':
                response = {
                    "jsonrpc": "2.0",
                    "id": request.get('id'),
                    "result": {"tools": [{"name": "echo", "description": "Echo tool"}]}
                }
            else:
                response = {
                    "jsonrpc": "2.0", 
                    "id": request.get('id'), 
                    "error": {"code": -32601, "message": "Method not found"}
                }
            
            # Send response
            win32file.WriteFile(pipe, (json.dumps(response) + '\n').encode('utf-8'))
            
        except Exception as e:
            print(f"Error: {e}")
            break
    
    win32file.CloseHandle(pipe)

def main():
    pipe_name = r'\\.\pipe\mcp_server'
    
    while True:
        pipe = win32pipe.CreateNamedPipe(
            pipe_name,
            win32pipe.PIPE_ACCESS_DUPLEX,
            win32pipe.PIPE_TYPE_MESSAGE | win32pipe.PIPE_READMODE_MESSAGE | win32pipe.PIPE_WAIT,
            1, 65536, 65536, 0, None
        )
        
        win32pipe.ConnectNamedPipe(pipe, None)
        
        # Handle client in thread
        thread = threading.Thread(target=handle_client, args=(pipe,))
        thread.start()

if __name__ == "__main__":
    main()

Platform Differences

FeatureUnix/Linux/macOSWindows
Path Format/path/to/socketpipename or \\.\pipe\pipename
Connection TypeUnix Domain SocketWindows Named Pipe
PermissionsFile system permissionsWindows security descriptors
PerformanceVery high (kernel bypass)High (optimized IPC)
Auto-cleanupOS handles cleanupOS handles cleanup

Troubleshooting Windows Named Pipes

  1. Access Denied: Check Windows permissions for named pipe access
  2. Pipe Not Found: Ensure the MCP server is running and pipe name is correct
  3. Connection Failed: Verify the pipe name format (\\.\pipe\name)
  4. Timeout Issues: Windows named pipes have different timeout behavior than Unix sockets

Configuration Examples

VS Code MCP Configuration

You can configure multiple proxy instances in your .vscode/mcp.json:

{
  "servers": {
    "microsoft-learn-proxy": {
      "type": "stdio",
      "command": "/path/to/mcp-proxy-tool",
      "args": ["--url", "https://learn.microsoft.com/api/mcp", "--verbose"]
    },
    "custom-mcp-proxy": {
      "type": "stdio", 
      "command": "/path/to/mcp-proxy-tool",
      "args": ["--url", "https://your-custom-server.com/mcp", "--timeout", "60"]
    }
  }
}

MCP Inspector Usage

# Start MCP Inspector and connect to your proxy
mcp-inspector

# Then in the web interface, add a server:
# - Command: /path/to/mcp-proxy-tool
# - Args: --url https://your-server.com/mcp --verbose

Sample Input/Output

List Tools Request (Microsoft Learn Docs MCP Server)

Input:

{
  "method": "tools/list",
  "params": {}
}

Output:

{
  "request": {
    "method": "tools/list",
    "params": {}
  },
  "response": {
    "id": 1,
    "jsonrpc": "2.0",
    "result": {
      "tools": [
        {
          "description": "Search official Microsoft/Azure documentation to find the most relevant and trustworthy content for a user's query. This tool returns up to 10 high-quality content chunks (each max 500 tokens), extracted from Microsoft Learn and other official sources. Each result includes the article title, URL, and a self-contained content excerpt optimized for fast retrieval and reasoning. Always use this tool to quickly ground your answers in accurate, first-party Microsoft/Azure knowledge.",
          "inputSchema": {
            "description": "Search official Microsoft/Azure documentation to find the most relevant and trustworthy content for a user's query. This tool returns up to 10 high-quality content chunks (each max 500 tokens), extracted from Microsoft Learn and other official sources. Each result includes the article title, URL, and a self-contained content excerpt optimized for fast retrieval and reasoning. Always use this tool to quickly ground your answers in accurate, first-party Microsoft/Azure knowledge.",
            "properties": {
              "question": {
                "description": "a question or topic about Microsoft/Azure products, services, platforms, developer tools, frameworks, or APIs",
                "type": "string"
              }
            },
            "required": [
              "question"
            ],
            "title": "microsoft_docs_search",
            "type": "object"
          },
          "name": "microsoft_docs_search"
        }
      ]
    }
  }
}

Search Azure CLI Container App Creation

Input:

{
  "method": "tools/call",
  "params": {
    "name": "microsoft_docs_search",
    "arguments": {
      "question": "Azure CLI create container app"
    }
  }
}

Output (truncated for brevity):

{
  "request": {
    "method": "tools/call",
    "params": {
      "arguments": {
        "question": "Azure CLI create container app"
      },
      "name": "microsoft_docs_search"
    }
  },
  "response": {
    "id": 1,
    "jsonrpc": "2.0",
    "result": {
      "content": [
        {
          "text": "[{\"title\":\"az containerapp create\",\"content\":\"### Command\\naz containerapp create\\n\\n### Summary\\nCreate a container app.\\n\\n### Required Parameters\\n\\n--name -n\\nThe name of the Containerapp. A name must consist of lower case alphanumeric characters or '-', start with a letter, end with an alphanumeric character, cannot have '--', and must be less than 32 characters.\\n\\n--resource-group -g\\nName of resource group. You can configure the default group using `az configure --defaults group=`.\\n\\n### Optional Parameters\\n\\n--allow-insecure\\nAllow insecure connections for ingress traffic...\"},{\"title\":\"Use Azure Functions in Azure Container Apps (azure-cli)\",\"content\":\"# Use Azure Functions in Azure Container Apps (azure-cli)\\n## Create a Functions App\\nTo sign in to Azure from the CLI, run the following command and follow the prompts to complete the authentication process...\"},{\"title\":\"Tutorial: Deploy your first container app\",\"content\":\"# Tutorial: Deploy your first container app\\nThe Azure Container Apps service enables you to run microservices and containerized applications on a serverless platform...\"}]",
          "type": "text"
        }
      ],
      "isError": false
    }
  }
}

Using with Files

You can also pipe input from files:

cat request.json | ./mcp-proxy-tool > response.json

Integration with Scripts

#!/bin/bash

# Example script to interact with Microsoft Learn Docs
echo "Listing available tools..."
echo '{"method": "tools/list", "params": {}}' | ./target/debug/mcp-proxy-tool

echo "Searching Azure CLI documentation..."
echo '{"method": "tools/call", "params": {"name": "microsoft_docs_search", "arguments": {"question": "Azure CLI create container app"}}}' | ./target/debug/mcp-proxy-tool

echo "Searching .NET documentation..."
echo '{"method": "tools/call", "params": {"name": "microsoft_docs_search", "arguments": {"question": "C# async await best practices"}}}' | ./target/debug/mcp-proxy-tool

Common Use Cases

1. Azure Service Documentation

# Search for specific Azure service information
echo '{"method": "tools/call", "params": {"name": "microsoft_docs_search", "arguments": {"question": "Azure Container Apps environment"}}}' | ./target/debug/mcp-proxy-tool

2. CLI Command Reference

# Find Azure CLI command documentation
echo '{"method": "tools/call", "params": {"name": "microsoft_docs_search", "arguments": {"question": "az containerapp create command"}}}' | ./target/debug/mcp-proxy-tool

3. Development Best Practices

# Search for development guidance
echo '{"method": "tools/call", "params": {"name": "microsoft_docs_search", "arguments": {"question": "Azure Functions deployment best practices"}}}' | ./target/debug/mcp-proxy-tool

4. API Reference Search

# Find API documentation
echo '{"method": "tools/call", "params": {"name": "microsoft_docs_search", "arguments": {"question": "Azure REST API container apps"}}}' | ./target/debug/mcp-proxy-tool

Configuration

Currently, the MCP server URL is hardcoded to https://learn.microsoft.com/api/mcp. Future versions will support configurable endpoints via:

  • Command-line arguments
  • Environment variables
  • Configuration files

Error Handling

The tool provides detailed error messages for common issues:

  • Invalid JSON input
  • Network connectivity problems
  • MCP server errors
  • Empty responses

Error messages are written to stderr, while successful responses go to stdout.

Response Format

All responses follow this structure:

{
  "request": {
    "method": "string",
    "params": "object"
  },
  "response": {
    "jsonrpc": "2.0",
    "id": 1,
    "result": "object"
  }
}

Supported MCP Methods

When connecting to the Microsoft Learn Docs MCP server:

  • tools/list - List available documentation search tools
  • tools/call - Execute documentation searches with the microsoft_docs_search tool:
    • question (required) - Your question or topic about Microsoft/Azure products, services, platforms, developer tools, frameworks, or APIs
    • Returns up to 10 high-quality content chunks from Microsoft Learn and official sources
    • Each result includes article title, URL, and content excerpt (max 500 tokens each)
  • resources/list - List available documentation resources (if supported)
  • resources/read - Read specific documentation content (if supported)

Development

Running Tests

cargo test

Development Build

# Unix/Linux/macOS
cargo build

# Windows (Command Prompt)
cargo build

# Windows (PowerShell)
cargo build

Release Build

# Unix/Linux/macOS
cargo build --release

# Windows (Command Prompt)
cargo build --release

# Windows (PowerShell)
cargo build --release

Cross-Platform Builds

# Build for Windows (Intel/AMD and ARM64)
cargo build --release --target x86_64-pc-windows-msvc
cargo build --release --target aarch64-pc-windows-msvc

# Build for Linux (x86_64 and ARM64)
cargo build --release --target x86_64-unknown-linux-gnu
cargo build --release --target aarch64-unknown-linux-gnu

# Build for macOS (Intel and Apple Silicon)
cargo build --release --target x86_64-apple-darwin
cargo build --release --target aarch64-apple-darwin

Transport Modes

The MCP proxy tool supports three different transport mechanisms:

HTTP Transport (-u option)

  • Connects to remote HTTP-based MCP servers
  • Uses reqwest for efficient HTTP communication
  • Supports SSE (Server-Sent Events) responses
  • Configurable timeouts
  • Automatic JSON-RPC request/response handling
  • Best for: Public MCP services, cloud-based servers

STDIO Transport (-c and -a options)

  • Launches local executable MCP servers
  • Communicates over stdin/stdout
  • Supports any executable that implements MCP over STDIO
  • Automatic process lifecycle management
  • No timeout limitations (process-based communication)
  • Best for: Local development, packaged MCP servers

Named Pipe Transport (-p option)

  • Cross-platform support: Unix domain sockets (Unix/Linux/macOS) and Windows named pipes
  • Unix/Linux/macOS: Supports Unix domain sockets and FIFO pipes
  • Windows: Native Windows named pipe support (\\.\pipe\name)
  • Efficient IPC: Low latency for local inter-process communication
  • Automatic handling: Platform-specific connection management
  • Best for: High-performance local servers, system services, cross-platform applications

MCP Protocol Support

  • JSON-RPC 2.0: Full compliance with JSON-RPC specification
  • MCP Methods:
    • initialize - Handled locally by proxy
    • notifications/initialized - Handled locally
    • tools/list - Forwarded to target server
    • tools/call - Forwarded to target server
  • Error Handling: Proper error responses for unknown methods
  • Unicode Support: Automatic decoding of Unicode escapes in responses

Performance

  • Binary Size: ~6MB release build (using argh for lightweight CLI parsing)
  • Memory Efficient: Async/await patterns for minimal resource usage
  • Fast Startup: Near-instantaneous startup time
  • Concurrent: Handles multiple requests efficiently across all transport modes

Dependencies

  • tokio - Async runtime
  • reqwest - HTTP client (for HTTP transport)
  • serde_json - JSON serialization
  • anyhow - Error handling
  • argh - Lightweight CLI parsing

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

License

[Add your license information here]

Troubleshooting

Common Issues

  1. Empty response body: Check if the Microsoft Learn MCP server is accessible at https://learn.microsoft.com/api/mcp
  2. JSON parse errors: Ensure input is valid JSON format matching MCP request structure
  3. Network timeouts: Verify internet connectivity and Microsoft Learn server availability
  4. Search returns no results: Try rephrasing your question or making it more specific
  5. Tool not found errors: Verify the tool name is microsoft_docs_search (case-sensitive)
  6. Parameter errors: Ensure you're using question parameter, not query or other parameter names

Debug Mode

For verbose logging, you can modify the source to enable debug output or use environment variables like RUST_LOG=debug.

Related Projects

  • Model Context Protocol Specification
  • MCP TypeScript SDK
  • MCP Python SDK