Model Context Protocol (MCP) Example
A reference implementation of the Model Context Protocol (MCP) enabling seamless tool calling between LLMs and applications. Features client/server architecture with HTTP APIs, local CLI execution, and AWS Bedrock integration in a production-ready, extensible framework.
What is Model Context Protocol (MCP) Example?
what is MCP Example? MCP Example is a reference implementation of the Model Context Protocol (MCP) that enables seamless tool calling between large language models (LLMs) and applications, featuring a client/server architecture with HTTP APIs and local CLI execution. how to use MCP Example? To use MCP Example, clone the repository, install dependencies, and run either the command-line interface or the FastAPI server to interact with the tools. key features of MCP Example? Local and remote tool calling via HTTP and stdio Integration with AWS Bedrock and Claude 3.7 Comprehensive documentation for AI-assisted development Example tools for calculations and text processing use cases of MCP Example? Integrating LLMs with various tools for enhanced functionality. Developing applications that require dynamic tool calling. Facilitating AI-assisted development processes. FAQ from MCP Example? What is the Model Context Protocol? The Model Context Protocol defines standard formats for function definitions, function calls, and responses to facilitate interaction between LLMs and tools. Is MCP Example free to use? Yes! MCP Example is open-source and available for anyone to use. What programming language is used? MCP Example is implemented in Python.
As an MCP (Model Context Protocol) server, Model Context Protocol (MCP) Example 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 Model Context Protocol (MCP) Example
To use MCP Example, clone the repository, install dependencies, and run either the command-line interface or the FastAPI server to interact with the tools. key features of MCP Example? Local and remote tool calling via HTTP and stdio Integration with AWS Bedrock and Claude 3.7 Comprehensive documentation for AI-assisted development Example tools for calculations and text processing use cases of MCP Example? Integrating LLMs with various tools for enhanced functionality. Developing applications that require dynamic tool calling. Facilitating AI-assisted development processes. FAQ from MCP Example? What is the Model Context Protocol? The Model Context Protocol defines standard formats for function definitions, function calls, and responses to facilitate interaction between LLMs and tools. Is MCP Example free to use? Yes! MCP Example is open-source and available for anyone to use. What programming language is used? MCP Example is implemented in Python.
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 Model Context Protocol (MCP) Example 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 Model Context Protocol (MCP) Example provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.