MCP Simple Chatbot

Example Use Cases

• 1

  A CLI-based conversational interface connected to an Anthropic Claude model for natural language interaction.

• 2

  Invoke MCP-compatible external tools or servers (for example, running npx mcp-vscode-extension in stdio mode) to extend LLM capabilities.

• 3

  Built-in GitHub operations (searching or creating repositories) as part of an automated or assisted workflow.

Description

This repository provides a lightweight, modular chatbot interface that connects to Anthropic Claude 3.7 Sonnet via the Anthropic API and can execute external tools through the Machine Conversation Protocol (MCP). It includes built-in GitHub API tool integration, automatic retry for tool execution, error handling, and Docker support for easy deployment. Configuration is driven by a servers_config.json file so agents can be pointed at different MCP servers or tools. The project is intended as an extensible example for agents that need to combine LLM-driven conversation with external tool execution.