MCP Starter Project
by sharmatriloknath
The MCP Starter Project provides a foundation for building AI applications that interact with external tools and APIs using the Model Context Protocol (MCP). It includes both a Python MCP server and a TypeScript/JavaScript MCP client.
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What is MCP Starter Project?
The MCP Starter Project is a template for building AI applications using the Model Context Protocol (MCP). It consists of an MCP server (Python) that exposes tools/functions and an MCP client (TypeScript/JavaScript) that connects to the server and manages interactions between AI models and tools.
How to use MCP Starter Project?
To use the MCP Starter Project, first set up the server by installing Python dependencies and configuring the Serper API key. Then, set up the client by installing Node.js dependencies and configuring the Hugging Face API key. Finally, start the server and client applications and use the provided API endpoints to interact with the system.
Key features of MCP Starter Project
Documentation Search Tool (LangChain, LlamaIndex, OpenAI)
Conversation Management
Tool Integration
Error Handling
Use cases of MCP Starter Project
Building AI-powered documentation search applications
Creating AI agents that can interact with external APIs
Developing conversational AI systems with tool integration
Prototyping MCP-based AI applications
FAQ from MCP Starter Project
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
MCP is a standard for building AI applications that can interact with external tools and APIs.
What are the main components of MCP?
What are the main components of MCP?
The two main components are the MCP Server (Python) and the MCP Client (TypeScript/JavaScript).
What API keys do I need?
What API keys do I need?
You need a Serper API key for the server and a Hugging Face API key for the client.
What are the client endpoints?
What are the client endpoints?
The client exposes two endpoints: /health and /chat.
What is the purpose of the documentation search tool?
What is the purpose of the documentation search tool?
The documentation search tool allows the AI model to search documentation for popular AI libraries such as LangChain, LlamaIndex, and OpenAI.