cpp-mcp/IMPLEMENTATION_SUMMARY.md

7.1 KiB

MCP Framework Implementation Summary

Overview

This implementation provides a complete C++ framework for the Model Context Protocol (MCP), designed for easy extension to agent workflows. The framework follows a modular architecture with clear separation of concerns, making it straightforward to customize and extend.

Directory Structure

/MCP/
├── mcp_protocol.h/cpp      - Core protocol definitions
├── mcp_server.h/cpp        - Server implementation
├── mcp_client.h/cpp        - Client implementation
├── mcp_resource.h          - Resource definitions
├── mcp_tools.h/cpp         - Tool and workflow system implementation
├── mcp_workflow_resource.h/cpp - Workflow resource implementation
├── mcp_agent_resource.cpp  - Agent resource implementation
├── CMakeLists.txt          - Build system configuration
├── README.md               - Project documentation
└── examples/               - Example implementations
    ├── custom_agent.h/cpp  - Custom agent implementations
    ├── server_example.cpp  - Server example
    ├── client_example.cpp  - Client example
    └── host_example.cpp    - Host example

Key Components

1. Core Protocol (mcp_protocol.h/cpp)

Defines the fundamental structures of the MCP protocol:

  • request and response structures
  • Error handling with error_code and mcp_exception
  • Resource interface (resource base class)
  • Tool definition structure (tool)

2. Server (mcp_server.h/cpp)

Provides an HTTP server that exposes MCP resources and tools:

  • Register resources at specific paths
  • Register tools with handlers
  • Process incoming HTTP requests
  • Route requests to appropriate resources

3. Client (mcp_client.h/cpp)

Implements a client for connecting to MCP servers:

  • Connect to servers
  • Discover available resources and tools
  • Make requests to resources
  • Call tools with parameters

4. Resource System (mcp_resource.h)

Defines various resource types:

  • file_resource: Access to the file system
  • directory_resource: Directory operations
  • api_resource: Custom API endpoints
  • image_resource: Image handling

5. Tool System (mcp_tools.h/cpp) - New Implementation

Provides tool-related functionality:

  • tool_registry: Central registry for tools
  • tool_builder: Fluent API for tool creation
  • workflow_step: Single step in a workflow
  • workflow: Define and execute sequences of tool calls
  • agent: Base class for agents

6. Workflow Resources (mcp_workflow_resource.h/cpp, mcp_agent_resource.cpp) - New Implementation

Implements resources for workflow and agent management:

  • workflow_resource: Create, manage, and execute workflows
  • agent_resource: Register and manage agents

Usage Examples

1. Creating a Server

// Create and configure the server
mcp::server server("localhost", 8080);
server.set_name("Example Server");

// Register a tool
mcp::tool time_tool = mcp::tool_builder("get_time")
    .with_description("Get the current time")
    .build();

server.register_tool(time_tool, get_time_handler);

// Register a resource
auto file_resource = std::make_shared<mcp::file_resource>("./files");
server.register_resource("/files", file_resource);

// Start the server
server.start(true);

2. Connecting with a Client

// Create a client
mcp::client client("localhost", 8080);

// Call a tool
mcp::json result = client.call_tool("get_time");

// Make a request to a resource
mcp::response res = client.get("/files/example.txt");

3. Creating and Using Workflows

// Create a workflow
mcp::workflow workflow("data_processing", "Process data");

// Add steps
workflow.add_tool_call("get_data", {{"source", "database"}});
workflow.add_tool_call("process_data", {{"filter", "recent"}});

// Execute the workflow
mcp::json result = workflow.execute();

4. Implementing Custom Agents

// Create a custom agent
class custom_agent : public mcp::agent {
public:
    explicit custom_agent(const std::string& name) : mcp::agent(name) {}
    
    void initialize(const mcp::json& config) override {
        // Initialize from config
    }
    
    mcp::json process(const mcp::json& input) override {
        // Process the input
        mcp::json output = call_tool("some_tool", input);
        return output;
    }
};

Agent Workflow Extension

The framework is specifically designed to support agent workflows with:

  1. Workflow Engine: Define sequences of tool calls with data passing
  2. Agent Base Class: Easily create custom agents
  3. Tool Registry: Centralized tool management
  4. Resource APIs: RESTful interfaces for workflow and agent management

Custom Agent Examples

Three example agent implementations are provided:

  1. Echo Agent: Simple agent that echoes back input with optional processing
  2. Workflow Agent: Executes predefined workflows
  3. Chain Agent: Chains multiple tools together with data mapping

Host Integration

The host example demonstrates how to:

  1. Combine server and client functionality
  2. Manage connections to other MCP servers
  3. Create workflows that span multiple servers
  4. Register and manage agents

Building the Project

Use the provided CMakeLists.txt:

mkdir build && cd build
cmake ..
make

Extending the Framework

Adding New Tools

// Define a new tool
mcp::tool my_tool = mcp::tool_builder("my_tool")
    .with_description("My custom tool")
    .with_string_param("input", "Input string")
    .build();

// Implement the tool handler
mcp::json my_tool_handler(const mcp::json& params) {
    std::string input = params["input"];
    // Process the input
    return {{"output", "Processed: " + input}};
}

// Register with the server
server.register_tool(my_tool, my_tool_handler);

Creating New Resource Types

class custom_resource : public mcp::resource {
public:
    resource_type type() const override {
        return resource_type::custom;
    }
    
    json metadata() const override {
        return {{"name", "Custom Resource"}};
    }
    
    response handle_request(const request& req) override {
        // Handle the request
        response res;
        res.set_json_body({{"status", "success"}});
        return res;
    }
};

Implementing New Agent Types

class my_agent : public mcp::agent {
public:
    explicit my_agent(const std::string& name) : mcp::agent(name) {}
    
    void initialize(const mcp::json& config) override {
        // Initialize from config
    }
    
    mcp::json process(const mcp::json& input) override {
        // Custom processing logic
        return result;
    }
};

Conclusion

This MCP Protocol framework provides a robust foundation for building agent-based systems. It offers:

  • Standardized Communication: Common protocol for all components
  • Extensible Design: Easy to add new tools, resources, and agents
  • Workflow Support: Define and execute complex workflows
  • Agent Framework: Create specialized agents for different tasks

The implementation uses lower_line_naming_style as requested and provides comprehensive examples of customized host, client, and server configurations.