MCP ChatBot

@arkCyber

Basic information

About MCP ChatBot

A powerful Rust-based chatbot MCP framework with multi-server support and tool integration capabilities.

MCP ChatBot config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "MCP-ChatBot": {
      "command": "docker",
      "args": [
        "run",
        "-d",
        "\\"
      ]
    }
  }
}

MCP ChatBot tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP-ChatBot?

MCP-ChatBot is a Rust-based chatbot framework implementing the Model Context Protocol (MCP) with multi-server support and tool integration. It enables switching between local (Ollama) and cloud (OpenAI) AI models, and includes built-in tools for memory, SQLite, file operations, RAG with Qdrant, and voice input via Whisper.

How to use MCP-ChatBot?

Clone the repository, build with cargo build --release, create a .env file with API keys, configure servers in src/servers_config.json and prompts in mcp_prompts.yaml, then run with cargo run. Use CLI commands such as /ai to switch AI providers, /rag-add to add documents, or /voice for voice input.

Key features of MCP-ChatBot

Multi-AI support: seamless switching between Ollama and OpenAI
Tool integration: memory, SQLite, and file operations
Multi-server architecture: run multiple specialized servers simultaneously
Interactive CLI with command history
Customizable server-specific prompts via YAML configuration
RAG support with Qdrant vector database
Voice input using Whisper speech-to-text

Use cases of MCP-ChatBot

Coordinate multiple AI models for complex tasks
Seamlessly integrate external tools and services
Maintain consistent context across different operations
Efficiently manage system resources and cleanup

Frequently asked questions

What AI providers are supported?

Ollama for local AI and OpenAI for cloud-based AI are supported. You can switch between them using the `/ai` command.

What are the prerequisites?

Rust 1.70 or higher is required. Ollama is needed for local AI, an OpenAI API key is optional, Qdrant is needed for RAG support, and Whisper is needed for voice input.

How do I switch between AI providers?

Use the `/ai` command in the CLI to toggle between Ollama and OpenAI.

What tools are available?

Memory operations (`memory_set`, `memory_get`), SQLite operations (`sqlite_create_table`, `sqlite_query`), and file operations (`file_write`, `file_read`) are built-in.

How does voice input work?

Type `/voice` to start recording, speak your message, then press Enter to stop. The transcribed text is processed as a normal message.

Comments

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