M&A advisors, private equity teams, and strategy consultants spend an enormous amount of time on tasks that should be instant. Pull a target list from one system. Export it. Reformat it somewhere else. Paste it into an analysis. Repeat. Hours of manual work before any real thinking even begins.

Inven MCP changes that. It connects Inven's structured database of 28M+ companies directly into AI tools like Claude and ChatGPT — so you can go from a question to a polished, client-ready output in a single conversation, without ever switching tabs or losing context.

One prompt. Your Inven data. An output you can send to a client today.

What Inven MCP actually does

MCP — Model Context Protocol — is a standard that lets AI assistants connect to live data sources and external tools. When you connect Inven via MCP, your AI tool can read your saved lists, search Inven's database, pull company data, and combine it with other connected sources — all in one conversation.

You're not uploading exports or copy-pasting data. The AI reaches into Inven directly, works with it, and delivers the output you asked for — whether that's a competitive landscape, a set of one-pagers, or a batch of personalized outreach emails.

Six ways deal teams are using it

  • Complex market analysis: Sector overviews, M&A activity, funding signals, and growth drivers — built in minutes, not days.
  • Meeting prep & company briefs: Walk into any client or target meeting fully briefed, without spending the morning on research.
  • Target benchmarking: Compare companies across your Inven lists on headcount, revenues, ownership, and operational metrics.
  • Client-ready materials: One-pagers, strip profiles, PowerPoint decks — generated directly from your Inven data, formatted and ready.
  • Personalized outreach at scale: Go from a saved target list to individually tailored emails — pulled from Inven, drafted by AI, sent via your CRM.
  • End-to-end AI workflows: Chain Inven with other connected tools — data sources, email providers, spreadsheets — for multi-step deal workflows.

Example prompts:

→ "Do a market analysis of the European warehouse automation sector — key players, funding activity, recent M&A, and growth signals."

→ "Build strip profiles for the companies in my Inven list 'Nordic Industrials' and create a PowerPoint deck."

→ "I'm an M&A advisor meeting with [Company]'s CFO tomorrow. Give me a one-page brief."

→ "Draft personalized outreach emails for every company in my Inven list and pull decision-maker contact info."

→ "Compare headcount across Engineering and R&D for these 5 targets and benchmark them."

The whole deal process, automated

The most powerful thing about Inven MCP isn't any single task — it's the ability to chain them together. Because Inven connects alongside other MCP-compatible tools, you can build workflows that span your entire deal process in one AI conversation.

Pull target list from Inven → Analyze in Claude → Generate client deck → Draft outreach → Send via HubSpot

No exports. No reformatting. No context lost between steps. The kind of workflow that used to take a full day of analyst time can happen in a single prompt — with your own Inven data, your own saved lists, and the AI tools your team already uses.

Built for the way you work

Inven MCP works with the AI tools you already trust — Claude and ChatGPT today, with more coming. Your saved Inven lists, searches, and data stay exactly where they are. MCP simply gives your AI the ability to reach them.

And because Inven's data is structured, proprietary, and covers 28M+ companies across every sector and geography, the quality of what your AI produces is only as good as the data powering it. That's the edge.

Ready to put Inven in your AI workflow?

Connect Inven to Claude, ChatGPT, and more — and go from targets to client-ready outputs in one conversation.