Real-Time Social Media Data for Your AI Agents and Models
contentfry makes social media content directly accessible for AI models and agents. Through the MCP (Model Context Protocol) interface, structured and curated feeds are available exactly where AI is developed – in ChatGPT, Claude, Cursor, or Copilot. Eliminate complex data pipelines and feed your AI with clean, real-time data.


MCP Integration
Social Media as a Native Skill for Your AI
The contentfry MCP Connector translates unstructured social media posts into AI-readable tools. Your AI assistants can understand and process this data natively – without manual API integration or custom code. Fully compatible with ChatGPT, Claude Desktop, Cursor, Windsurf, GitHub Copilot, and more.

API Full Access
Secure, Structured, and Highly Scalable
Our interface provides full access to the contentfry ecosystem. Filter content by platform, room, theme, or timeframe and integrate it precisely into your RAG pipelines or agent workflows. Maintain full control over data governance and content quality.
For Teams Taking AI into Production.
Multi-Source Input for Your AI Models
LinkedIn, Instagram, TikTok, Facebook, or RSS – contentfry aggregates the most important platforms into a single data stream. Choose profiles, hashtags, or mentions and combine them into a hybrid feed for your AI agents to analyze or create content.

Hashtag, Profile Tag, Stories, Owned Profile, Public Profile, Creator Connection

TikTok
Owned Profile, Creator Connection

Owned Page, Public Page, Page Tag

Page, Subpage, Collaborator Connection
X
Profile, Hashtag (Token required)
Mastodon
Hashtags, Profile, Server

YouTube
Cannel, Playlist

User, Boards

Tumblr
Keywords, User

RSS
RSS Feeds

Flickr
Tag, User
Native Posts
Direct upload for text, image, video, and social embeds
QR Code Direct Uploader
Upload to the Social Wall via QR code for text, image, and video
Limitless Possibilities
for Your AI Skills

AI Social Listening & Sentiment
Detect community sentiment in real-time. Analyze UGC posted with your brand hashtags and derive relevant content ideas or campaign suggestions.

Content Strategy Audit
Analyze and optimize social content across different departments. Audit the integration of strategic topics and consistent brand implementation.

Competitor Analysis
Monitor competitors, related brands, and industry trends in real-time – directly from structured social media feeds for your AI models.

Customer Service Q&A Agents
Empower your agents to answer customer queries using real-time social content instead of just static training data – including source verification.

Custom Agent Workflows
Combine contentfry MCP tools with your own skills and APIs to build complex agents – from monitoring to automated actions.

Brand Compliance Analysis
Let your AI agents automatically audit social media content for brand guidelines – including tone of voice, visual language, and hashtags.

Template & Format Validation
Ensure that posts from various partners or departments adhere to defined campaign specs or use approved templates – automated by AI.

Influencer Compliance Monitoring
Automatically verify if influencer partners are delivering content as agreed – including hashtags, key messages, and posting schedule.
How to Set Up contentfry for Your AI

Step 1
Create Connections as AI Feeds
Set up connections to serve as data sources for your AI. Choose social media accounts, business pages, creator accounts, hashtags, or RSS feeds.

Step 2
Define Filters for Targeted Access
Use the API or dashboard to set filters. Ensure your AI only accesses relevant content (e.g., specific platforms, timeframes, or verified accounts).

Step 3
Activate MCP Interface
Connect your feeds to your AI tools via the MCP interface. Your AI receives instant, structured access to social media content – no extra code required.
Feed Your AI with Real-Time Social Media Data.
Includes MCP Connector, API access, and full support. 14-day free trial – no credit card required.
55 CHF/monthly
Plans & Pricing

