Tweet Search

Tweet Search MCP gives AI agents direct, structured access to Twitter/X's search surface using advanced search operators — the same syntax power users rely on to filter by keyword, hashtag, account, date range, media type, and link presence. Instead of scraping timelines or relying on brittle browser automation, your agent can issue precise queries like "from:handle since:2023-01-01 filter:media" and get back clean, parseable results: tweets, embedded links, images, and video references ready for summarization, monitoring, or research pipelines.

This MCP server is a natural fit for teams doing social listening, brand monitoring, competitive intelligence, or trend research who want that capability available to any AI agent — Claude, GPT, Gemini, or an internal copilot — without wiring a bespoke integration for each one. Because it speaks the Model Context Protocol, any MCP-compatible agent can call it the same way it calls your CRM, ad platform, or internal database tools, which is exactly the kind of unification BusinessMCP.com is built around.

On BusinessMCP.com, Tweet Search is hosted alongside the rest of your company's tools, databases, and ad platforms behind a single managed MCP endpoint — not as one more isolated integration to babysit. Connect it once through your growth-suite dashboard or call it directly via your own /api/mcp endpoint using a Bearer mcph_* key, and every downstream agent gets consistent, authenticated access to advanced Twitter search alongside your other connected sources. That means an agent researching a competitor launch, a market trend, or a customer sentiment shift can pull live social data in the same session it's querying your product database or ad spend — no separate credentials, no separate protocol, one hosted MCP server doing the coordination.

Because the hosting layer is model-agnostic and cookieless/GDPR-friendly, Tweet Search fits cleanly into compliance-conscious workflows: research and social-listening agents can pull public tweet data without the session-cookie or browser-fingerprint baggage that comes with scraping approaches. Pair it with the built-in business-intelligence dashboard and you get visibility into how often social search is actually being invoked by your agents, which queries are running, and how that activity ties back to the rest of your connected stack — turning a single search tool into part of a measurable, governed AI research workflow rather than a black-box API call.

Typical users include growth and marketing teams tracking hashtag campaigns, research analysts monitoring public sentiment around a ticker or topic, product teams watching for mentions and feedback, and journalists or OSINT researchers who need targeted, operator-driven tweet search rather than a generic firehose. Combined with complementary Research-category MCP servers on the same hosted endpoint — web search, academic paper search, or fetch/browser tools — Tweet Search becomes one input among several that an agent can blend into a single research answer, all served from the one MCP server your business already controls.