Cclarity

What it is

Cclarity is a LinkedIn MCP for Claude and ChatGPT. Live at cclarity.io. It puts your real LinkedIn data, the names, roles, and ICP fit behind every like, comment, and profile view, inside the AI you already use.

You install it once. Your AI then sees who engaged on your posts, who viewed your profile, and which of them match your ideal customer profile. From $29 a month. The promise: replace a $2K LinkedIn agency with the AI on your desk.

Why an MCP, not another dashboard

Most LinkedIn tools dump a dashboard on you and leave you to interpret it. Cclarity does the opposite. It exposes your LinkedIn data as a Model Context Protocol server, so Claude or ChatGPT can read it directly in conversation.

Ask “who engaged on my last post and matches a Series A founder ICP?” and your AI answers with names, roles, and a ranked list. Ask it to draft a follow-up DM, and it uses the engager’s actual profile to write it. The intelligence lives where you already think and write.

Read-only by design

Cclarity never posts, comments, or sends DMs on your behalf. No scraping, no automation, no flagged accounts. It only reads data you can already see in LinkedIn, through LinkedIn’s authorised flow. Read-only is why your account stays safe, and it is why we tell users to send the message themselves. The intelligence is the product; the sending is yours.

How it was built

Built with a small team. I handle product direction and contribute frontend code alongside an engineer on the backend. The MCP server runs on api.cclarity.io/mcp, with a CLI for developers who prefer the terminal (npx -y @cclarity-packages/cli@latest init). Works in regular Claude (web or desktop), regular ChatGPT (Plus, Pro, Team), Claude Code, and Codex.

What I learned

Distribution beats features. A dashboard with twenty charts loses to a single tool call that drops the right five names into the conversation you are already having. Build for where your user already is.

See my other projects: CheckHowMuch.sg (9,700+ pages of property data, built with Claude Code) and SeeWhatIf (134 healthcare cost scenarios, also built with Claude Code).