Shketokserver

Created By

bmwdroch9 months ago

Overview

What is Shketokserver?

Shketokserver is a Telegram MCP server designed for integrating AI agents with Telegram, allowing for synchronous messaging between users and AI agents.

How to use Shketokserver?

To use Shketokserver, create a Telegram bot via @BotFather to obtain a token, set up your chat ID, and run the server using Docker with the provided configurations.

Key features of Shketokserver?

Integration with AI agents via the MCP protocol
Sending messages to Telegram users
Waiting for user responses with customizable timeouts
Synchronous operation where the agent waits for user replies
Secure token storage through environment variables
Ready-to-use Docker container for easy deployment

Use cases of Shketokserver?

Integrating AI agents in services that support MCP (e.g., Cursor, WindSurf, Anthropic).
Sending and receiving messages in real-time between users and AI agents.
Building interactive applications that require user input through Telegram.

FAQ from Shketokserver?

Can I use Shketokserver with any AI agent?

Yes! Shketokserver is compatible with any AI agent that supports the MCP protocol.

Is there a limit on the number of messages I can send?

No, you can send as many messages as needed, but be mindful of Telegram's rate limits.

How do I deploy Shketokserver?

You can deploy it using Docker by following the quick start guide provided in the documentation.

Server Config

{
  "mcpServers": {
    "perplexity-ask": {
      "command": "npx",
      "args": [
        "-y",
        "server-perplexity-ask"
      ],
      "env": {
        "PERPLEXITY_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Recommend Servers

TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.

EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

CursorThe AI Code Editor

Baidu Map百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。

Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

RedisA Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

WindsurfThe new purpose-built IDE to harness magic

Tavily Mcp

Amap Maps高德地图官方 MCP Server

Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.