CPP MCP-SERVER
by peppemas
A C++ implementation of a Model Context Protocol Server with a pluggable module architecture. It allows for extending server functionality through dynamically loaded plugins.
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What is CPP MCP-SERVER?
The MCP Server is a C++ implementation of a Model Context Protocol server designed with a modular and extensible architecture. It enables developers to expand the server's capabilities without modifying the core logic through dynamically loaded plugins.
How to use CPP MCP-SERVER?
To use the MCP Server, clone the repository, compile it using CMake and Make, and then run the executable with command-line arguments to configure the server name, plugin directory, and logs directory. Plugins can be created as dynamically loaded libraries (.dll on Windows, .so or .dylib on Linux/MacOS) and placed in the specified plugin directory.
Key features of CPP MCP-SERVER
Pluggable module architecture
Dynamic plugin loading
Command-line configuration
Centralized logging
Support for Windows, Ubuntu Linux, and Mac OS
Use cases of CPP MCP-SERVER
Extending server functionality without modifying core code
Implementing custom services through plugins
Automated code reviews
Providing weather-related functionalities
Simulating response delays
FAQ from CPP MCP-SERVER
What is the purpose of the -n argument?
What is the purpose of the -n argument?
The -n argument specifies the name of the server to expose to clients.
How do I specify the plugin directory?
How do I specify the plugin directory?
Use the -p argument followed by the path to the directory containing the plugins.
Where are the server logs stored?
Where are the server logs stored?
Logs are stored in the directory specified by the -l argument.
What file extensions are used for plugins?
What file extensions are used for plugins?
On Windows, plugins are compiled as .dll files. On Linux/MacOS, plugins are compiled as .so or .dylib files.
What is the Code Review plugin?
What is the Code Review plugin?
The Code Review plugin is designed to assist developers in performing automated code reviews by analyzing code and providing feedback on potential bugs and optimization opportunities.