oatpp-mcp
Anthropic’s Model Context Protocol implementation for Oat++
What is oatpp-mcp?
What is oatpp-mcp? The oatpp-mcp is an implementation of Anthropic’s Model Context Protocol for the Oat++ framework, enabling the integration of large language models (LLMs) with API functionalities. How to use oatpp-mcp? To use oatpp-mcp, clone the repository, build the module using CMake, and follow the provided examples to set up a server with API querying features. Key features of oatpp-mcp? Autogenerated tools for API interaction with LLMs. Support for transport through STDIO and HTTP SSE. Server functionalities including prompts, resources, and tools. Use cases of oatpp-mcp? Creating an API that allows querying of LLMs. Implementing server-side logic for code review prompts. Enabling real-time data logging and resource interaction through LLM APIs. FAQ from oatpp-mcp? What do I need before installing oatpp-mcp? You must first install the main oatpp module. How do I serve this module? You can serve via STDIO or HTTP SSE by configuring the server accordingly in your application code. Where can I find examples? Examples are available in the tests folder, specifically in /test/oatpp-mcp/app/ServerTest.cpp.
As an MCP (Model Context Protocol) server, oatpp-mcp enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use oatpp-mcp
To use oatpp-mcp, clone the repository, build the module using CMake, and follow the provided examples to set up a server with API querying features. Key features of oatpp-mcp? Autogenerated tools for API interaction with LLMs. Support for transport through STDIO and HTTP SSE. Server functionalities including prompts, resources, and tools. Use cases of oatpp-mcp? Creating an API that allows querying of LLMs. Implementing server-side logic for code review prompts. Enabling real-time data logging and resource interaction through LLM APIs. FAQ from oatpp-mcp? What do I need before installing oatpp-mcp? You must first install the main oatpp module. How do I serve this module? You can serve via STDIO or HTTP SSE by configuring the server accordingly in your application code. Where can I find examples? Examples are available in the tests folder, specifically in /test/oatpp-mcp/app/ServerTest.cpp.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like oatpp-mcp can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like oatpp-mcp provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
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