Connect X/Twitter MCP for AI Agents

You simply ask your AI client to search for recent tweets using your specific keywords or hashtags. The agent pulls everything that's public, allowing you to quickly gauge how people feel about your brand without manually searching every day.

Yes. You can use the volume analysis tool within this MCP to get time-series data on any query. This shows you exactly when mentions spike over hours or days, helping you pinpoint emerging trends.

It's excellent for that. You can search for competitor names and use profile lookups to compare their follower counts, locations, and overall public presence against your own brand metrics.

The MCP supports batch processing. You can pass up to 100 tweet IDs or up to 100 usernames in one go, making bulk analysis fast and efficient.

Absolutely. You can search for specific product keywords combined with negative terms (like 'bug' or 'frustrated'). The agent pulls these tweets, and you can then ask it to summarize the common complaints found in the text.

You just talk to your AI client naturally. You describe what you need—like 'I need to compare five accounts' or 'Show me volume trends for this hashtag'—and the agent selects and runs the right tool automatically.

Yes. Ask the agent to run a recent search tool utilizing your query (e.g., '#competitor'). It will grab the last 10 matching tweets within seconds, giving you raw sentiment and user commentary without opening the app.

The tool uses the standard v2 API limited to Recent Searches. This means the agent can perfectly fetch any matching tweets published in the last 7 days. It is optimized for reactive, fast-paced monitoring workflows.

Absolutely. Providing the agent with the user's handle will invoke the lookup tool. It returns exactly what the developer sees: follower metrics, account description, and geographic location if public.