260 lines
7.1 KiB
Markdown
260 lines
7.1 KiB
Markdown
# MCP Framework Implementation Summary
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## Overview
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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.
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## Directory Structure
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```
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/MCP/
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├── mcp_protocol.h/cpp - Core protocol definitions
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├── mcp_server.h/cpp - Server implementation
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├── mcp_client.h/cpp - Client implementation
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├── mcp_resource.h - Resource definitions
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├── mcp_tools.h/cpp - Tool and workflow system implementation
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├── mcp_workflow_resource.h/cpp - Workflow resource implementation
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├── mcp_agent_resource.cpp - Agent resource implementation
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├── CMakeLists.txt - Build system configuration
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├── README.md - Project documentation
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└── examples/ - Example implementations
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├── custom_agent.h/cpp - Custom agent implementations
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├── server_example.cpp - Server example
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├── client_example.cpp - Client example
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└── host_example.cpp - Host example
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```
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## Key Components
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### 1. Core Protocol (mcp_protocol.h/cpp)
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Defines the fundamental structures of the MCP protocol:
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- `request` and `response` structures
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- Error handling with `error_code` and `mcp_exception`
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- Resource interface (`resource` base class)
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- Tool definition structure (`tool`)
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### 2. Server (mcp_server.h/cpp)
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Provides an HTTP server that exposes MCP resources and tools:
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- Register resources at specific paths
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- Register tools with handlers
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- Process incoming HTTP requests
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- Route requests to appropriate resources
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### 3. Client (mcp_client.h/cpp)
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Implements a client for connecting to MCP servers:
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- Connect to servers
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- Discover available resources and tools
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- Make requests to resources
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- Call tools with parameters
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### 4. Resource System (mcp_resource.h)
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Defines various resource types:
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- `file_resource`: Access to the file system
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- `directory_resource`: Directory operations
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- `api_resource`: Custom API endpoints
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- `image_resource`: Image handling
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### 5. Tool System (mcp_tools.h/cpp) - New Implementation
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Provides tool-related functionality:
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- `tool_registry`: Central registry for tools
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- `tool_builder`: Fluent API for tool creation
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- `workflow_step`: Single step in a workflow
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- `workflow`: Define and execute sequences of tool calls
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- `agent`: Base class for agents
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### 6. Workflow Resources (mcp_workflow_resource.h/cpp, mcp_agent_resource.cpp) - New Implementation
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Implements resources for workflow and agent management:
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- `workflow_resource`: Create, manage, and execute workflows
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- `agent_resource`: Register and manage agents
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## Usage Examples
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### 1. Creating a Server
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```cpp
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// Create and configure the server
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mcp::server server("localhost", 8080);
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server.set_name("Example Server");
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// Register a tool
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mcp::tool time_tool = mcp::tool_builder("get_time")
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.with_description("Get the current time")
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.build();
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server.register_tool(time_tool, get_time_handler);
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// Register a resource
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auto file_resource = std::make_shared<mcp::file_resource>("./files");
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server.register_resource("/files", file_resource);
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// Start the server
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server.start(true);
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```
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### 2. Connecting with a Client
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```cpp
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// Create a client
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mcp::client client("localhost", 8080);
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// Call a tool
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mcp::json result = client.call_tool("get_time");
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// Make a request to a resource
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mcp::response res = client.get("/files/example.txt");
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```
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### 3. Creating and Using Workflows
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```cpp
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// Create a workflow
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mcp::workflow workflow("data_processing", "Process data");
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// Add steps
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workflow.add_tool_call("get_data", {{"source", "database"}});
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workflow.add_tool_call("process_data", {{"filter", "recent"}});
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// Execute the workflow
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mcp::json result = workflow.execute();
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```
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### 4. Implementing Custom Agents
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```cpp
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// Create a custom agent
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class custom_agent : public mcp::agent {
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public:
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explicit custom_agent(const std::string& name) : mcp::agent(name) {}
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void initialize(const mcp::json& config) override {
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// Initialize from config
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}
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mcp::json process(const mcp::json& input) override {
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// Process the input
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mcp::json output = call_tool("some_tool", input);
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return output;
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}
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};
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```
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## Agent Workflow Extension
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The framework is specifically designed to support agent workflows with:
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1. **Workflow Engine**: Define sequences of tool calls with data passing
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2. **Agent Base Class**: Easily create custom agents
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3. **Tool Registry**: Centralized tool management
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4. **Resource APIs**: RESTful interfaces for workflow and agent management
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## Custom Agent Examples
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Three example agent implementations are provided:
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1. **Echo Agent**: Simple agent that echoes back input with optional processing
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2. **Workflow Agent**: Executes predefined workflows
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3. **Chain Agent**: Chains multiple tools together with data mapping
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## Host Integration
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The host example demonstrates how to:
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1. Combine server and client functionality
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2. Manage connections to other MCP servers
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3. Create workflows that span multiple servers
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4. Register and manage agents
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## Building the Project
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Use the provided CMakeLists.txt:
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```bash
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mkdir build && cd build
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cmake ..
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make
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```
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## Extending the Framework
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### Adding New Tools
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```cpp
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// Define a new tool
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mcp::tool my_tool = mcp::tool_builder("my_tool")
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.with_description("My custom tool")
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.with_string_param("input", "Input string")
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.build();
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// Implement the tool handler
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mcp::json my_tool_handler(const mcp::json& params) {
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std::string input = params["input"];
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// Process the input
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return {{"output", "Processed: " + input}};
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}
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// Register with the server
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server.register_tool(my_tool, my_tool_handler);
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```
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### Creating New Resource Types
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```cpp
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class custom_resource : public mcp::resource {
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public:
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resource_type type() const override {
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return resource_type::custom;
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}
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json metadata() const override {
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return {{"name", "Custom Resource"}};
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}
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response handle_request(const request& req) override {
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// Handle the request
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response res;
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res.set_json_body({{"status", "success"}});
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return res;
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}
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};
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```
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### Implementing New Agent Types
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```cpp
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class my_agent : public mcp::agent {
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public:
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explicit my_agent(const std::string& name) : mcp::agent(name) {}
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void initialize(const mcp::json& config) override {
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// Initialize from config
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}
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mcp::json process(const mcp::json& input) override {
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// Custom processing logic
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return result;
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}
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};
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```
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## Conclusion
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This MCP Protocol framework provides a robust foundation for building agent-based systems. It offers:
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- **Standardized Communication**: Common protocol for all components
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- **Extensible Design**: Easy to add new tools, resources, and agents
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- **Workflow Support**: Define and execute complex workflows
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- **Agent Framework**: Create specialized agents for different tasks
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The implementation uses lower_line_naming_style as requested and provides comprehensive examples of customized host, client, and server configurations. |