MCP Server Bot
M

MCP Server Bot

MCP Server Management Robot Project
2 points
6.2K

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

🚀 MCP-Server-Bot

MCP-Server-Bot is a highly customizable and feature-rich multi-platform chatbot framework that allows users to quickly build personalized chatbots according to their needs.

🚀 Quick Start

Prerequisites

  • Ensure that Python 3.8 or a higher version is installed.
  • Use pip to install the necessary third - party libraries (e.g., discord.py, telepot).

Configuration

Create and edit the configuration file config.json to fill in the API keys and relevant settings required by the bot.

{
    "platforms": {
        "Discord": {
            "bot_token": "your_discord_bot_token",
            "channel_id": "your_channel_id"
        },
        "Telegram": {
            "bot_token": "your_telegram_bot_token",
            "chat_id": "your_chat_id"
        }
    },
    "plugins": [
        "plugin1.py",
        "plugin2.py"
    ],
    "logging": {
        "level": "DEBUG",
        "log_file": "bot.log"
    }
}

Start the Bot

Run the script start_bot.py in the terminal or command line.

python start_bot.py

✨ Features

  1. Multi - platform Compatibility: The bot can run on multiple chat platforms (e.g., Discord, Telegram).
  2. Plugin System: Supports function expansion through plugins. Users can add or remove plugins as needed.
  3. Command Execution: Provides a rich command set. Users can interact with the bot through specific instructions.
  4. Data Storage: Can store and manage user preferences and chat history.
  5. Custom Configuration: Allows users to make personalized configurations according to their usage habits.

🔧 Technical Details

Core Modules

  • Message Processing Engine: Responsible for receiving, parsing, and distributing user messages.
  • Command Processor: Identifies user instructions and executes corresponding operations.
  • Plugin Manager: Loads and manages various functional plugins.

Data Storage

  • Local Database: Used to store temporary data required during the bot's runtime (e.g., chat records, user settings).
  • Persistent Storage: Uses files or cloud storage services to save key configuration information, ensuring that the bot can maintain its original functions after restarting.

Communication Modules

  • WebSocket: Establishes real - time connections to various chat platforms to receive and send messages.
  • API Calls: Implements message sending/receiving and command execution by calling the APIs provided by each platform.

User Interface (Optional)

  • Control Panel: Provides a user - friendly management interface for users to easily monitor the bot's running status and adjust configuration parameters.
  • Logging System: Records the bot's running logs for debugging and maintenance.

📦 Installation

Install Dependencies

  • Make sure Python 3.8 or higher is installed.
  • Install necessary third - party libraries using pip (e.g., discord.py, telepot).

Configure the Bot

Create and edit the config.json file with the required API keys and settings.

Start the Bot

Run python start_bot.py in the terminal.

💻 Usage Examples

Basic Usage

# echo_plugin.py
def on_message(message):
    return message.content

# plugin_info.json
{
    "name": "Echo Plugin",
    "version": "1.0.0",
    "description": "Repeats the user's message back to them.",
    "commands": ["echo"]
}

Users can trigger the function by specifying a prefix (e.g., ! or .) followed by the plugin command, for example: !echo Hello World.

Advanced Usage

The bot supports multi - threading/async processing using the asyncio library to improve response speed and performance. It also uses a modular design to split functions into independent modules or services for easy expansion and maintenance. Additionally, it can integrate with other third - party services (e.g., databases, cloud storage) to enhance its functionality.

📚 Documentation

Plugin Development

  • Plugin Structure: Each plugin should include a main file (e.g., plugin_name.py) and a description file (e.g., plugin_info.json).
  • Plugin Registration: Place the plugin files in the plugins/ directory and enable the plugin in the configuration file.

Logging and Debugging

  • Logging Output: The bot records running information in the bot.log file for tracking issues and understanding the running status.
  • Error Handling: Plugin developers should ensure good error - catching mechanisms in their code to avoid crashing the entire bot. The core module catches exceptions and records relevant information to help developers quickly locate problems.

Security Considerations

  • Key Management: Ensure that all API keys and sensitive information are not stored in plain text in the code or configuration files. It is recommended to use environment variables or encrypted storage.
  • Permission Control: Set appropriate permissions for the bot as needed to avoid unnecessary risks. For example, ensure that the bot has sufficient permissions to perform required operations on Discord.
  • Update and Maintenance: Regularly check and update the APIs of each platform to adapt to policy or interface changes. Keep the bot's code secure and fix known vulnerabilities in a timely manner.

📄 License

No license information provided in the original document.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
6.2K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.0K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
4.5K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
3.9K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.3K
4 points
P
Paperbanana
Python
7.5K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
7.2K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.6K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
34.6K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.5K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.7K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
31.5K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
64.8K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
48.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase