MCP Server Optimization: X-MCP

Example Code Implementation (Python)

Built on Twikit, Redis, and asyncio:

import asyncio

import aiohttp

import redis.asyncio as redis

import logging

import backoff

from twikit import Client

# Logging configuration

logging.basicConfig(

level=logging.INFO,

format="%(asctime)s [%(levelname)s] %(message)s",

handlers=[logging.FileHandler("x_mcp.log")]

)

logger = logging.getLogger(__name__)

# Config

CONFIG = {

"x_api": {

"username": "@your_username",

"email": "your_email",

"password": "your_password"

},

"redis": {"host": "localhost", "port": 6379},

"max_concurrent": 50

}

# Redis connection

redis_pool = redis.Redis(host=CONFIG["redis"]["host"], port=CONFIG["redis"]["port"], decode_responses=True)

class XMcpServer:

def __init__(self):

self.client = Client(**CONFIG["x_api"])

self.session = None

self.semaphore = asyncio.Semaphore(CONFIG["max_concurrent"])

async def init_session(self):

self.session = aiohttp.ClientSession()

await self.client.login()

logger.info("X-MCP server initialized")

@backoff.on_exception(backoff.expo, aiohttp.ClientError, max_tries=3)

async def fetch_tweets(self, query: str, count: int = 50) -> list:

cache_key = f"tweets:{query}"

cached = await redis_pool.get(cache_key)

if cached:

logger.info(f"Cache hit: {cache_key}")

return eval(cached)

async with self.semaphore:

tweets = await self.client.search_tweets(query, count=count)

tweet_data = [{"id": t.id, "text": t.text, "user": t.user.screen_name} for t in tweets]

await redis_pool.setex(cache_key, 3600, str(tweet_data))

logger.info(f"Fetched tweets: {query}, Count: {len(tweet_data)}")

return tweet_data

async def post_tweet(self, content: str) -> dict:

async with self.semaphore:

tweet = await self.client.create_tweet(content)

logger.info(f"Tweet posted: {tweet.id}")

return {"id": tweet.id, "text": tweet.text}

async def main():

server = XMcpServer()

await server.init_session()

tweets = await server.fetch_tweets("#AI")

await server.post_tweet("SmartSync AI empowers marketing! #AI")

print(f"Fetched tweet count: {len(tweets)}")

if __name__ == "__main__":

asyncio.run(main())