Introducing PricingSaaS MCP
Tap into our data from your AI of choice.
Howdy pricing people 🫡
We just launched PricingSaaS MCP, giving you direct access to PricingSaaS data in Claude, ChatGPT, or Gemini. Quick video tour and how we’ve been using it below 👇
Here’s how we’ve been using it:
1️⃣ Pricing, Packaging & Product Research
Launching an AI product? Thinking through credits? Considering a price increase on your Business plan?
Tap into our data to see exactly what other companies have done — and get tailored feedback for your specific situation.
2️⃣ Competitive Intelligence
Losing track of what competitors are doing? Use the MCP to pull recent pricing changes from the companies you care about most. And if a competitor isn’t in our database yet, just let us know — we’ll add them.
3️⃣ Market Summaries
Pricing advisors and consultants are using this to provide instant benchmarks across pricing and packaging strategies for prospects and clients — a fast way to add credibility and value in any conversation.
Setup takes about 2 minutes. Follow the instructions here to connect to your LLM of choice:
We’d love to hear what you build with it.
And of course, if you run into any questions, just reply to this email or shoot me a note at rob@pricingsaas.com
Rob
Thanks for reading! When you’re ready, here’s how we can help:
Community: Answers from real pricing experts. Apply for membership →
Data: Access to news, research, and analysis. Sign up for free →
Advisory: Free pricing advice. Book a 30-minute call →
Brilliant move making pricing data MCP-native, the killer use case here is that competitve intelligence no longer requires context switching out of your workflow. I've seen teams lose hours weekly just toggling between pricing tools and their actual work, and this kind of direct integration collapses that gap. The real power isn't just the data access itself but that it becomes part of the reasoning chain in realtime, rather than a post-hoc sanity chekc.