AI chatbot for conversation, work, research, coding, and content creation.
Xpoz MCP
$20Starting price
0Popularity
About Xpoz MCP
Xpoz MCP is an MCP server designed to enable AI assistants like Claude and ChatGPT to interact with live social media platforms such as X/Twitter, Instagram, TikTok, and Reddit. It allows users to query and analyze social media content, profiles, engagement metrics, and historical data through natural-language prompts without requiring API keys or dealing with rate limits. The tool exposes a streaming, MCP-compliant connector that includes advanced filtering, smart caching, and OAuth2 authentication. By integrating with LLMs, Xpoz MCP transforms them into real-time social intelligence agents capable of performing tasks like trend tracking, viral content analysis, influence mapping, and threat detection. This makes it particularly useful for research, marketing, security, and product teams looking to incorporate conversational social listening and automated agent workflows into their workflows. The server is built to be fast, cost-effective, and easy to integrate, providing a seamless way to leverage social media data for decision-making and analysis.
Key features
- Query live social media (X/Twitter, Instagram, TikTok, Reddit) via natural-language prompts
- Return structured posts, profiles, engagement metrics, and historical data
- No API keys or rate limits required
- Streaming MCP-compliant connector with advanced filtering
- Smart caching and OAuth2 authentication for secure access
- Real-time social intelligence for trend tracking and viral content analysis
- Influence mapping and threat detection capabilities
- Seamless integration with AI assistants like Claude and ChatGPT
- Fast, cost-effective, and easy to deploy
Use cases
- Automated social listening for marketing and brand monitoring
- Real-time trend analysis and viral content identification
- Influence mapping and threat detection for security teams
Pros
- Provides access to social media data across multiple platforms without requiring individual platform API keys
- Enables real-time social listening and historical data analysis through natural-language prompts
- Supports advanced filtering by date, engagement, language, and location for precise queries
- Offers zero-installation setup via MCP-compliant remote server for immediate integration
- Includes OAuth2 authentication and smart caching for efficient and secure data retrieval
Cons
- Limited to platforms supported by the API (Twitter/X, Instagram, TikTok, Reddit)
- Query results may be capped for trial users until a personal API key is obtained
- Dependent on the availability and stability of the MCP server infrastructure
Frequently asked questions about Xpoz MCP
What is Xpoz MCP and what does it do?
Xpoz MCP is a social data API for AI agents that enables natural-language queries across social media platforms like Twitter/X, Instagram, TikTok, and Reddit. It transforms LLMs into real-time social intelligence agents for tasks such as brand monitoring, trend analysis, and threat detection.
Who should use Xpoz MCP?
The tool is designed for research teams, marketers, security professionals, and product teams who need to incorporate social media data into their workflows without managing multiple API keys or rate limits.
How does Xpoz MCP handle authentication and data access?
It uses OAuth2 authentication with Google integration and provides secure token management. Users can access real-time and historical data without platform-specific API keys.
What platforms does Xpoz MCP support?
The tool supports Twitter/X, Instagram, TikTok, and Reddit for querying posts, profiles, engagement metrics, and historical data.
Can I use Xpoz MCP for real-time monitoring?
Yes, Xpoz MCP provides access to live metrics, current trends, and real-time data, enabling up-to-date social listening and analysis.
How do I get started with Xpoz MCP?
Users can install the MCP server via a provided URL in their AI assistant's connector settings or use the TypeScript/Python SDK or CLI for terminal-based workflows.
