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Inven MCP: Connect Inven to Claude, ChatGPT, and more

Get started with Inven MCP server with this guide. See it in action in this short video.

What is Inven MCP?

Inven MCP connects Inven's private market database directly to AI tools like Claude and ChatGPT, using the Model Context Protocol (MCP) standard. Once connected, your AI tool has access to Inven's rich, structured data on 28M+ companies.

You can use that data to do complex analysis, build client deliverables, and run personalized outreach. Beyond individual tasks, Inven MCP lets you build end-to-end AI workflows across systems. Combine Inven data with other data sources, validate insights, and automate sequences from research to outreach.

Use Inven to find and curate your data. Use MCP to analyze, cross-reference, automate, and turn that data into tailored, client-ready outputs.


Click to jump to section 👇

  1. Set up Inven MCP
  2. What can you do with Inven MCP
  3. Use cases and prompts
  4. Tips for getting best results
  5. How credits work


How to set up Inven MCP

Option 1: Add a custom connector

  1. Go to Settings > Connectors (Claude) or Settings > Apps (ChatGPT)
  2. Click Add custom connector
  3. Add Inven's MCP server URL: https://api.inven.ai/mcp/v1
  4. Click Add to finish configuring the connector
  5. Click Connect and log in with your usual Inven credentials
  6. Click Configure and grant permissions for all actions

Add custom connector-Claude

Option 2: From connector directories (coming soon!)

  1. Search for Inven from Claude's connector directory or ChatGPT's app directory
  2. Click Connect and log in with your Inven account
  3. Click Configure and grant permissions for all actions

To verify that your AI tool is connected to Inven, you can always ask:
"Check that I'm connected to Inven" or "What Inven lists do you have access to?" 

Need help? Reach out to your Inven contact anytime.

See full MCP documentation: inven.ai/mcp-docs

What can you do with it?

With Inven MCP, you can:

  • Work where you already work: connect Inven to Claude, ChatGPT, and more
  • Do more with your Inven lists: analyze saved targets and create materials
  • Combine multiple data sources: cross-reference insights from other connected data sources and build stronger deal conviction
  • Build AI workflows: automate multi-step research, analysis, and outreach across Inven and other connected systems
  • Get tailored outputs in the formats you need: Excel, PowerPoint, or interactive dashboards
  • Speed up personalized outreach: go from Inven data to ready-to-send emails in one prompt


MCP use cases and prompts

📊 Complex data analysis

Do sophisticated analyses without hours of manual data gathering.

  • Prompt: Build a sales cube analysis for the companies in my Inven list 'Nordic Industrials’
  • Output: Interactive sales cube with overview, buyer profile, opportunity sizing, timing and signals

💼 Company benchmarking

See how companies stack up against peers on key operational metrics.

  • Prompt: Compare number of factories and production volume for companies in my Inven list ‘DACH Manufacturing’
  • Prompt: Compare headcount for these 5 companies’ Engineering and R&D departments and breakdown by sub-function

🗺️ Market analysis

Build a market or competitor analysis from scratch in minutes, not days.

  • Prompt: Do a market analysis of the European warehouse automation sector — key players, funding activity, recent M&A, and growth signals.
  • Prompt: Find competitors of [Company] and do a competitive analysis.

📋 Meeting prep and rapid company profiling

Walk into any client meeting fully briefed, without spending the morning on research.

  • Prompt: I'm an M&A advisor. Give me a brief on [Company] to prepare me for a meeting with their CFO.
  • Output: Single-page brief with company snapshot, financials, investors, decision-makers, and things to know going in.

📑 Client-ready materials

Turn Inven data into polished one-pagers and presentations without leaving your AI workflow.

  • Prompt: Create one-pagers on the companies in my Inven list [List Name]. Include competitive benchmarking.

  • Prompt: Create strip profiles for [companies] in a powerpoint presentation

✉️ Personalised outreach at scale

Combine Inven's contact data with your AI tool to run targeted outreach end to end.

  • Prompt: Draft a personalised outreach email for each company in my Inven list 'Nordic renewable energy companies' and pull decision-maker contact info.
  • Output: Draft emails per contact, ready to review and send. Connect with HubSpot or other email providers to send directly.

🔗 Multi-step AI workflows across systems

Connect Inven to your AI tool alongside other MCP-compatible systems — data sources, email providers, and more — to build workflows that span your entire deal process.

  • Example workflow: Pull target list from Inven → analyze in Claude → generate a client presentation → draft personalised outreach → send emails via HubSpot MCP.


Tips for getting best results

  • Reference your Inven lists by name: "the companies in my Inven list 'DACH Manufacturing'"
  • Give context about your role: "I'm an M&A advisor preparing for a sell-side process"
  • Specify the data you need: "include data on size, geography, ownership, services"
  • Specify your output format: "...in an Excel file", "...as a PowerPoint", "...as a one-pager"


How credits work when using MCP

Using Inven MCP consumes your Inven credits:

  • Export credits are used when you run searches, e.g. "find solar panel companies in Finland"
  • AI enrichment credits are used when you do analysis or create materials about companies you've found 

Need more credits? Reach out to your Inven contact to explore top-ups.

AI enrichment credits can also be purchased directly in the Inven platform via Settings.