What is Klint?
Klint is a social media research agent that gives AI assistants like Claude, ChatGPT, and Cursor live context from public posts on Instagram, TikTok, YouTube, reddit, and X. It watches every video and reads every post, pulling out the spoken words, on-screen text, hooks, and engagement numbers, so you can ask plain-language questions like which creators under 200K followers keep posting about your niche, which hooks are beating their creator's usual views this week, or who your competitor is running brand deals with. Instead of a list of links, you get a straight answer with the posts, profiles, and numbers behind it, ready to drop into a brief, spreadsheet, or outreach list.
What sets Klint apart?
Klint sets itself apart by judging every post against that creator's own baseline instead of raw view counts, so a 40K-view video from an account that usually gets 4K shows up as a breakout while the same number from a two-million-follower account doesn't. This is especially helpful for brands hunting for up-and-coming creators before their rates climb, since small accounts that are consistently outperforming surface right alongside the big names. Unlike a traditional influencer database that sorts creators by follower counts and self-reported tags, Klint looks at what creators actually publish and backs every claim with the source post, and when it can't support an answer it says so instead of guessing.
How does Klint work?
Klint works in four steps: it captures new public posts as they're published, analyzes every frame, spoken word, and line of on-screen text, enriches each post by naming its hook, proof, and offer, and indexes every post and account so your agent can query it. You connect Klint once as an MCP server, sign in, and ask a question in plain language. Klint plans the searches, checks the relevant accounts and posts, and returns one answer with the receipts, so you never have to build or maintain a scraper.
Who should use Klint?
Klint is built for influencer marketing managers, social media managers, content strategists, and creators who need social media research without the manual digging. Brand and agency teams use it to build creator shortlists, find lookalikes of their best-performing partners, and see which creators competitors keep rebooking. Content teams use it to find the hooks and formats outperforming in their niche right now, reverse-engineer viral posts, and check whether an idea has already been done before they film it.
What platforms and AI tools does Klint work with?
Klint covers public posts and profiles on Instagram, TikTok, YouTube, and X, and can search all four side by side in a single question. It connects to Claude, Claude Code, ChatGPT, Cursor, Codex, GitHub Copilot, Grok, and any other app that supports the Model Context Protocol (MCP), so it works inside the AI tools your team already uses. No coding is required: if you can paste a server URL into your AI app's connector settings, you can use Klint.
Is Klint free?
Yes, you can start using Klint for free. Click Start Free on the Klint website, share what you're working on, and the team will get your agent connected so you can ask your first question. Developers can follow the Klint quickstart to add the MCP server to Claude Code, Cursor, Codex, or VS Code in a single command. Klint launched as an MCP-based agent, and a direct API and SDKs are planned next.
Klint Use Cases
- Influencer discovery & vetting
- Trending hook research
- Competitor content & brand deal tracking
- Viral post breakdowns
- Outlier post discovery
Who uses Klint?
Features and Benefits
- Ask one question and Klint searches public posts and profiles across Instagram, TikTok, YouTube, and X side by side.
Cross-Platform Social Search
- Klint analyzes every frame, spoken word, and line of on-screen text, then names each post's hook, proof, and offer so your agent can work with it as text.
Video & Post Understanding
- Each post is measured against its creator's typical performance, so breakouts from small accounts surface alongside results from large ones.
Creator Baseline Scoring
- Find creators by what they actually publish, then filter by follower size, language, and niche or start from a creator you like and find lookalikes.
Creator Discovery
- Every answer comes with the posts, profiles, and numbers behind it, each linked to the original source so you can check the work.
Sourced Answers
- Connect Klint to Claude, ChatGPT, Cursor, Codex, or any MCP client with one server URL, then run ready-made cookbooks for hooks, creators, and prior-art checks.
MCP Connector & Cookbooks
Klint Pros and Cons
Covers Instagram, TikTok, YouTube, and X from a single question
Reads video content itself, including speech and on-screen text, not just captions
Compares posts to each creator's own baseline to spot genuine breakouts
Links every finding back to the source post for easy verification
Works inside AI tools you already use through a single MCP connection
No technical setup or scraping required to get started
No direct API or SDK yet, so access runs through MCP clients
Complex research requests can take several minutes to return an answer
Limited to public posts and profiles
Pricing details are not published, and access starts through a signup form
Relies on an AI assistant or MCP client rather than a standalone dashboard



