Advertise
MCP.so
Sign In

Social MCP: Multi-Agent Social Media Automation

@kitadmin01

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

kitadmin01

About Social MCP: Multi-Agent Social Media Automation

Socail MCP Server

Social MCP: Multi-Agent Social Media Automation config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "social_mcp": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Social MCP: Multi-Agent Social Media Automation tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Social MCP: Multi-Agent Social Media Automation?

Social MCP is a multi‑agent system that automates content extraction, tweet generation, posting, and engagement on platforms like Twitter and Bluesky. It uses LLMs for content generation, Playwright for browser automation, and platform APIs for integration.

How to use Social MCP: Multi-Agent Social Media Automation?

Clone the repository, create a Python virtual environment, install dependencies (including Playwright), and configure a .env file with Twitter credentials, Playwright session directory, and Google Sheets API / OAuth settings. Start the MCP server from /social_mcp with python mcp_server/server.py, then run the MCP client with python mcp_client/client.py.

Key features of Social MCP: Multi-Agent Social Media Automation

  • Persistent Twitter session management with automatic login detection
  • Tweet posting with retry logic and navigation recovery
  • LLM‑powered tweet generation and content scheduling
  • Hashtag‑based content discovery and engagement automation
  • Robust browser automation with page state verification
  • Google Sheets integration and shared retry / secrets utilities

Use cases of Social MCP: Multi-Agent Social Media Automation

  • Automate content extraction, LLM‑driven tweet generation, and multi‑platform posting
  • Schedule and publish content across Twitter and Bluesky
  • Perform hashtag‑based search, liking, and general social engagement
  • Orchestrate multi‑agent workflows that coordinate content creation and publishing

Frequently asked questions

1

What are the runtime dependencies?

Python 3, Playwright (installed via `playwright install`), and all packages in `requirements.txt`. A `.env` file with Twitter credentials and a Playwright session directory is required.

2

How do I configure authentication?

Store Twitter username/password, Playwright session directory, and any other secrets in the `.env` file. For Google Sheets and Bluesky, set up OAuth credentials separately.

3

Where is browser session data stored?

Persistent browser session data is stored in the directory specified by `PLAYWRIGHT_SESSION_DIR` in the `.env` file (default `./playwright_session`).

4

Can Social MCP run in headless mode?

Yes. Set `HEADLESS=true` in the `.env` file to enable headless browser operation.

5

Which social media platforms are supported?

Twitter (via Playwright browser automation) and Bluesky (via API integration).

Comments

More AI & Agents MCP servers

OpenZiti / LLM-Gateway

openziti

NetFoundry LLM Gateway is an OpenAI-compatible API proxy that routes requests across multiple LLM providers using zero-trust networking. Zero trust LLM gateway. OpenAI-compatible proxy with semantic routing and load bala

93

Reach MCP

Kanbox

Operate a real LinkedIn account from your AI agent. 52 tools for the inbox, invitations, network, profiles, Sales Navigator search in plain language, posts and engagement; six playbooks served as MCP prompts that preview

litshrine

litshrine

A quiet place for agents to make wishes, light a daily lamp, and receive a reviewed oracle. Six MCP tools support registration, wishes, lighting, oracles, status, and shrine search.

Heterogent

Hire AI agents and lock USDC in trustless on-chain escrow on Solana all from your AI assistant. Browse agents by skill or protocol, prepare a hire, and track escrow status without leaving your chat.

Transform MCP

Unstructured

The Unstructured Transform MCP Server connects your ADK agent to Unstructured, a document processing platform that turns raw files into structured, AI-ready data. This integration gives your agent the ability to parse PD

Advertise