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MCP Server — Agent X (Powered by Gemini Flash + Twitter API)

@karmveershubham

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

karmveershubham

About MCP Server — Agent X

AI AGENT BUILT WITH MCP SERVER

#agent-x#twitter-bot#ai-agent

MCP Server — Agent X config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

MCP Server — Agent X tools

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Overview

What is 🤖 MCP Server — Agent X (Powered by Gemini Flash + Twitter API)?

Agent X is an autonomous AI agent built using Google Gemini Flash and integrated with the Twitter API, allowing it to post intelligent and contextual tweets on your behalf.

How to use 🤖 MCP Server — Agent X (Powered by Gemini Flash + Twitter API)?

Clone the repository, run npm install to install dependencies, configure the required environment variables (Twitter API keys and Google Gemini API key) in a .env file, then start the Node.js server.

Key features of 🤖 MCP Server — Agent X (Powered by Gemini Flash + Twitter API)

  • AI-powered tweet generation with Google Gemini Flash
  • Seamless Twitter posting via twitter-api-v2
  • Environment variable support for secure credentials
  • Extensible Node.js server architecture
  • Lightweight and secure for automation or content bots

Use cases of 🤖 MCP Server — Agent X (Powered by Gemini Flash + Twitter API)

  • Automate tweet posting with AI‑generated content
  • Run a content bot that posts contextual updates
  • Use as a base for autonomous social media agents
  • Deploy for brand or influencer engagement

Frequently asked questions

1

What LLM powers the tweet generation?

Google Gemini Flash is used for AI‑powered tweet generation.

2

Which Twitter API library is used?

The server leverages the `twitter-api-v2` npm package for seamless Twitter posting.

3

What are the runtime requirements?

Node.js and npm are required. All credentials are managed via a `.env` file.

4

Are the credentials stored securely?

Yes, credentials are stored in a `.env` file and not hardcoded, following best practices.

5

Can I extend the agent logic?

Yes, the agent logic is wrapped in an extensible Node.js server that can be customized.

Comments

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