MCP.so
ログイン

MCP-ChatBot

@arkCyber

リポジトリ

MCP-ChatBot について

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

基本情報

カテゴリ

AI とエージェント

ランタイム

rust

トランスポート

stdio

公開者

arkCyber

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from MCP-ChatBot

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.

コメント

「AI とエージェント」の他のコンテンツ

Hass-MCP

voska

Control and query Home Assistant from Claude and other LLMs — a Model Context Protocol (MCP) server.

307

Web Agent Protocol

OTA-Tech-AI

🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support

500

Intervals.icu MCP Server

mvilanova

Model Context Protocol (MCP) server for connecting Claude and ChatGPT with the Intervals.icu API.

311

Perplexity Ask MCP Server

ppl-ai

The official MCP server implementation for the Perplexity API Platform

2.4K

Model Context Protocol for Unreal Engine

chongdashu

Enable AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP).

2.0K