XpozPlain-language social media search across Twitter, Instagram, TikTok, and Reddit for AI assistants.

4.5 (4)

Reviewed by Daniel Nikulshyn·Updated May 2026

MCP Server Social Media AI Assistants Search Social Listening Research Integration

Overview

Xpoz is an MCP (Model Context Protocol) server that connects AI assistants like Claude and ChatGPT to major social platforms. Through natural language queries, users can search and retrieve posts from Twitter, Instagram, TikTok, and Reddit without writing API calls or building custom integrations. The tool is aimed at researchers, marketers, and analysts who want their AI assistant to pull live social data into conversations. Typical use cases include tracking trends, monitoring brand mentions, gathering audience sentiment, and surfacing relevant posts for content research. Because Xpoz works through the MCP standard, it slots into any compatible AI client and lets the assistant handle the heavy lifting of interpreting results, summarizing findings, and following up on related queries.

Key features

MCP server integration for Claude and ChatGPT
Twitter, Instagram, TikTok, and Reddit search
Plain-language query interface
Post retrieval and trend discovery
Conversational follow-up on results
Designed for research and social listening

Pricing

Model: $20
Category: Uncategorized
Rating: 4.5 / 5 (4)

Use cases

Track Trends Across Platforms

Ask an AI assistant to surface trending topics and posts across Twitter, Instagram, TikTok, and Reddit using plain-language queries instead of platform APIs.

Monitor Brand Mentions

Marketers can prompt Claude or ChatGPT to retrieve recent mentions of a brand across major social platforms and follow up conversationally for deeper context.

Gather Audience Sentiment

Analysts can pull relevant posts and discussions from multiple networks into their AI assistant to assess how audiences are reacting to a topic, product, or campaign.

Content Research for Creators

Researchers and creators can surface relevant posts and discussions across networks through natural language, using the AI assistant to summarize and refine results.

Pros & Cons

Pros

Covers four major social platforms in one tool
Natural language queries instead of API syntax
Works with any MCP-compatible AI client
Useful for trend and sentiment research

Cons

Limited to supported platforms only
Requires an MCP-compatible AI assistant
Data depth depends on platform access
Not a standalone analytics dashboard

Reviews

4.5

Average from 4 ratings.

Ingrid Bauer

Dec 16, 2025

Solid for our team

We rolled this out across the team last quarter and covers four major social platforms in one tool. Designed for research and social listening fits neatly into how we already work, and conversational follow-up on results removed a step we used to do by hand. but it has held up under daily use.

Victor Nguyen

Dec 3, 2025

Use it every day

Honestly didn't expect to like it this much. Plain-language query interface is exactly what I needed, and useful for trend and sentiment research. I do wish not a standalone analytics dashboard, but I reach for it almost every day now and it just clicks.

Wei Chen

Nov 23, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on plain-language query interface, and covers four major social platforms in one tool caught me off guard. Limited to supported platforms only is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Frank Müller

Jul 27, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is designed for research and social listening — handled better than most — and covers four major social platforms in one tool. Worth the time if this is your use case.