adhikasp/mcp-twikit

Overview

A Model Context Protocol (MCP) server that lets AI agents read and post to Twitter. It uses the Twikit library to interact with Twitter's unofficial API, enabling agentic workflows without official API keys.

Best for

Best for
Developers building AI agents that need basic Twitter read/write access without official API approval

Use cases

• Automate tweet posting and timeline monitoring from an AI agent
• Search Twitter for relevant content and trends programmatically
• Integrate Twitter interactions into custom MCP-based tools and assistants

How to use

Install

npx -y @smithery/cli install mcp-twikit --client claude

Tools exposed

• search_twitter
• get_timeline

Tested with

Claude Desktop

Example client config

{\n    "mcpServer": {\n        "command": "uvx",\n        "args": ["--from", "git+https://github.com/adhikasp/mcp-twikit", "mcp-twikit"],\n        "env": {\n            "TWITTER_USERNAME": "@example",\n            "TWITTER_EMAIL": "me@example.com",\n            "TWITTER_PASSWORD": "secret"\n        }\n    }\n}

Notes

A Model Context Protocol (MCP) server that lets AI agents read and post to Twitter. It uses the Twikit library to interact with Twitter’s unofficial API, enabling agentic workflows without official API keys.

234 stars on GitHub. Last updated 2025-03-14. Licensed MIT.

Use cases

• Automate tweet posting and timeline monitoring from an AI agent
• Search Twitter for relevant content and trends programmatically
• Integrate Twitter interactions into custom MCP-based tools and assistants

Pros

• No official Twitter API key required, reducing onboarding friction
• Lightweight Python implementation with clear MCP protocol support
• Active open-source project with 234 stars and community contributions

Cons

• Relies on unofficial API which may break with Twitter changes
• Limited to features exposed by Twikit, not full Twitter API coverage
• Requires manual setup of Twitter credentials and MCP host configuration

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.