
Xpoz MCP - AI Social Media AI工具使用教程与评测
FreemiumXpoz MCP is a social media intelligence platform that enables AI assistants to search and analyze real-time social media data from Twitter, Instagram, Reddit, and TikTok through the MCP protocol, without requiring API keys.
Xpoz MCP is an MCP server that provides social intelligence for AI agents, indexing over 1.5 billion social media posts. It allows users to search and analyze content from Twitter/X, Instagram, Reddit, and TikTok in real-time through natural language queries, without needing to apply for expensive official API keys. The platform provides a complete MCP server, TypeScript and Python SDKs, and supports integration with AI assistants like Claude and ChatGPT. It's suitable for brand monitoring, market research, competitive analysis, threat detection, influencer discovery, and more, particularly for developers, marketing teams, researchers, and enterprise users.
https://mcp.xpoz.ai/mcpclaude mcp add --transport http --scope user xpoz-mcp https://mcp.xpoz.ai/mcp --header "Authorization: Bearer <your Xpoz API token>"npm install @xpoz/xpoz or Python package pip install xpoz| Tier | Price | Description |
|---|---|---|
| Free | $0 | 5,000 credits (one-time, non-refreshing), 1 tracked keyword/user, all core tools, full MCP functionality, community support, suitable for testing and evaluation |
| Pro | $20/month ($16/month annually, save 20%) | 30,000 credits/month, $0.80/1,000 credits overage, 10 tracked keywords/users (additional $5 each), all advanced tools, advanced analytics, priority support (24-hour response), suitable for developers and growing teams |
| Max | $200/month ($160/month annually, save 20%) | 600,000 credits/month, $0.40/1,000 credits overage, 30 tracked keywords/users (additional $5 each), all advanced tools, full feature access, priority support SLA (12-hour response), suitable for agencies and power users |
| Enterprise | Custom pricing | Custom credit allocation, unlimited keyword/user tracking, volume discounts, dedicated account manager and SLA support, custom integrations, bulk export options, suitable for high-traffic enterprise users |
Credit Calculation: Credits = (Number of queries × 5) + (Number of results × 0.005)
Example: 100 queries + 100,000 results = 1,000 credits
Notes:
This tool is a web application and MCP server that can be used directly in the browser or integrated through AI assistants, no client download required.
Integration Methods:
pip install xpoz