affinity-warm-intro skill on the Affinity MCP in your own LLM client (Claude, ChatGPT, etc.). You describe the target, Affinity surfaces ranked introduction paths from your firm’s relationship data and — when you ask — drafts the outreach, then hands it back so you choose an asker and make the intro yourself. The agent runs when you ask it; it doesn’t monitor in the background or send on your behalf.
What you can do at launch
Ask for ranked paths to a target
In AI Chat (or via theaffinity-warm-intro skill on the Affinity MCP), ask in natural language:
- “Who can introduce me to someone at [Company]?”
- “Do we have a way into [Company]‘s leadership team?”
- “Find a path to the founder of [Company].”
What powers your paths
- Explicit relationships — the relationships your firm has actually interacted with (emails, meetings, calendar activity), scored by strength. The foundation of every path.
- LinkedIn connections — your team’s LinkedIn connections, used alongside explicit relationships to widen who might make an introduction.
- Inferred connections — probable relationships Affinity surfaces even without a direct interaction. Two types at launch:
- Overlapping work history — a teammate likely knows an external person because they worked at the same company at the same time.
- Investor ↔ Portfolio Company Executive — a likely bridge: a known contact who was at an investment firm when it funded a target company, and therefore probably knows that company’s executives.
Example: Looking for a way to Ben P. (a target-company executive)? Affinity might surface: “Jeremy Klein might know Ben P. — Jeremy was a Partner at Bain, which invested in Ben’s company while Ben was CEO.”Both inferred types are available in AI Chat and via MCP; the Investor ↔ Portfolio Company Executive type also appears in the Connections tab (Path Finder) on a company profile.
Use the affinity-warm-intro MCP skill
The Affinity MCP ships with the affinity-warm-intro skill — a packaged set of instructions and context that helps your LLM client generate warm introductions from your firm’s relationship data. Both AI Chat and the MCP skill surface paths and draft the ask on request, and neither sends on your behalf.
What’s expanding after launch
At launch, Warm Intro surfaces ranked paths and drafts the ask on request. Future direction:- Background monitoring of your open asks, surfacing intros proactively.
- Intro-request tracking — a first-class, trackable intro-request object (status, asker, bridge, target).
- Follow-up drafting — nudges once an ask is out.
- Inferred connections in global search.
How to get started
- In AI Chat: open AI Chat in the web app and ask a warm-intro question naturally. No setup beyond your org having access.
- Via MCP: connect the Affinity MCP to your LLM client (see Getting Started with Affinity MCP), then ask warm-intro questions or invoke the
affinity-warm-introskill.
Tips for better paths
- Name the target precisely — a company plus a role (“the CFO at [Company]”) anchors better than a company alone.
- Lead with people your firm actually knows — explicit relationships with recent, two-way activity make the strongest intros.
- Check ownership before you act — if a partner owns the bridge relationship, confirm before requesting the intro.
- Treat inferred connections as leads, not facts — “might know” means probably; verify before you rely on it.