Tinymcp
What is Tinymcp
TinyMCP is a lightweight C++ SDK designed for implementing the MCP Server, facilitating standardized communication between AI applications and various data sources.
Use cases
Use cases for TinyMCP include developing AI applications that require real-time data processing, creating middleware for connecting AI models to various data sources, and implementing client-server architectures for AI services.
How to use
To use TinyMCP, integrate the SDK into your C++ project, follow the provided documentation for setup, and utilize the defined classes and methods to establish connections and manage data exchanges according to the MCP protocol.
Key features
Key features of TinyMCP include support for multiple platforms (Windows, Linux, MacOS, Android), a structured codebase for easy navigation, and implementation of essential MCP protocol functionalities such as session management and data transmission.
Where to use
TinyMCP can be used in fields such as AI development, data integration, and any application requiring standardized communication with large language models (LLMs) and other AI tools.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Tinymcp
TinyMCP is a lightweight C++ SDK designed for implementing the MCP Server, facilitating standardized communication between AI applications and various data sources.
Use cases
Use cases for TinyMCP include developing AI applications that require real-time data processing, creating middleware for connecting AI models to various data sources, and implementing client-server architectures for AI services.
How to use
To use TinyMCP, integrate the SDK into your C++ project, follow the provided documentation for setup, and utilize the defined classes and methods to establish connections and manage data exchanges according to the MCP protocol.
Key features
Key features of TinyMCP include support for multiple platforms (Windows, Linux, MacOS, Android), a structured codebase for easy navigation, and implementation of essential MCP protocol functionalities such as session management and data transmission.
Where to use
TinyMCP can be used in fields such as AI development, data integration, and any application requiring standardized communication with large language models (LLMs) and other AI tools.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
TinyMCP
What is TinyMCP?
TinyMCP is a lightweight C++ SDK for implementing the MCP Server.
What is MCP?
MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.
TinyMCP supported system platforms
- Windows
- Linux
- MacOS
- Android
- Other platforms that support standart c++…
Usage Guide
Please check the wiki for more information.
Dependencies
MCP protocol version
Code structure brief
| directory | brief |
|---|---|
| Public | SDK public directory, used to store global type definitions, global constant resources, helper classes, etc. |
| Message | Definition and implementation of the basic data structures of the MCP protocol, mainly including the implementation of protocol data such as standard requests, responses, and notifications that follow the JSON-RPC 2.0 protocol. |
| Session | Definition and implementation of MCP protocol interaction sessions, mainly including the implementation of stateful sessions based on the C/S architecture and the maintenance of the complete MCP session lifecycle (initialization phase, running phase, and closing phase). |
| Transport | Definition of data transmission channels between various endpoints based on the C/S architecture, which also includes an implementation of a default stdio transmission channel. |
| Task | Definition and implementation of various MCP tasks, such as the three - way handshake and capability negotiation task during the initialization phase, and the processing tasks for major requests like Prompts (not yet implemented), Resources (not yet implemented), Tools (already implemented), etc. Time - consuming tasks are executed asynchronously, while ordinary tasks are executed synchronously. |
| Entity | Definition of various protocol entity classes for MCP, mainly including the base class of the Server following the Singleton pattern. |
Feature support brief
Although not all MCP features have been implemented yet, it is already sufficient for the Tools-type MCP Server.
| Feature | Remarks | Supported or not |
|---|---|---|
| Base Protocol | Core JSON-RPC message types | Yes |
| Lifecycle Management | Connection initialization, capability negotiation, and session control | Yes |
| Transports | stdio | Yes |
| Cancellation | Cancellation of in-progress requests through notification messages. | Yes |
| Progress | Progress tracking for long-running operations through notification messages. | Yes |
| Tools | Tools enable models to interact with external systems, such as querying databases, calling APIs, or performing computations. | Yes |
| Pagination | Pagination allows servers to yield results in smaller chunks rather than all at once. | Yes |
| Transports | HTTP with Server-Sent Events (SSE) | Not yet |
| Ping | Ping mechanism that allows either party to verify that their counterpart is still responsive and the connection is alive. | Not yet |
| Resources | Resources allow servers to share data that provides context to language models, such as files, database schemas, or application-specific information. | Not yet |
| Prompts | Prompts allow servers to provide structured messages and instructions for interacting with language models. | Not yet |
| Completion | A standardized way for servers to offer argument autocompletion suggestions for prompts and resource URIs. | Not yet |
| Logging | A standardized way for servers to send structured log messages to clients. | Not yet |
LICENSE
TinyMCP is licensed under the MIT License - see the LICENSE file for details.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
