by enescinr
Interact with X (formerly Twitter) using the Twitter API to post tweets, search content, and explore Twitter API pricing
Integrates with X (Twitter) API v2 to post tweets, search content, and reply to messages. Includes enhanced research tools that bypass some API restrictions.
X (Twitter) is a community-built MCP server published by enescinr that provides AI assistants with tools and capabilities via the Model Context Protocol. Interact with X (formerly Twitter) using the Twitter API to post tweets, search content, and explore Twitter API pricing It is categorized under communication.
You can install X (Twitter) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
X (Twitter) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
README content is unavailable from source data for this server.
Open GitHub repository →Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
According to our notes, X (Twitter) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
X (Twitter) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We wired X (Twitter) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated X (Twitter) against two servers with overlapping tools; this profile had the clearer scope statement.
X (Twitter) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated X (Twitter) against two servers with overlapping tools; this profile had the clearer scope statement.
We evaluated X (Twitter) against two servers with overlapping tools; this profile had the clearer scope statement.
X (Twitter) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated X (Twitter) against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, X (Twitter) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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Slack
MCP server for Slack — enables Claude to interact with Slack data and workflows.
★ —
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
