PricingSaaS MCP
A read-only connector that brings live PricingSaaS data into Claude, ChatGPT, and Gemini — so pricing, product, and go-to-market teams can answer questions in seconds instead of hours.
A pricing research analyst inside the chat
Pricing and go-to-market teams use it to answer competitor questions on the spot — no new tab, no spreadsheet, no waiting for the analyst team.
Look up how 1,000+ SaaS companies price and package — instantly, without leaving the chat.
Track recent pricing changes and full history across the competitor set your team cares about.
On-demand benchmarks across categories to support pricing decisions and customer conversations.
Faster, more defensible pricing work
It replaces a slow, manual workflow with an on-demand research capability inside tools the team already has open.
Cuts hours of manual pricing-page checking, screenshotting, and spreadsheet maintenance.
PricingSaaS continuously monitors public pricing pages, so answers reflect the latest market — not a stale snapshot.
Lives inside Claude, ChatGPT, and Gemini — the assistants the team already uses every day.
Designed to be a low-risk approval
The connector is built around minimal footprint: read-only, outbound-only, OAuth-gated, and limited to public data.
The connector pulls data from PricingSaaS. It cannot write to or modify anything in your environment.
Only the user's question is sent. Files, emails, and other chat context stay inside the LLM.
Standards-based OAuth 2.1 with PKCE. No passwords or static API keys are shared with the LLM provider.
All traffic to mcpauth.pricingsaas.com runs over HTTPS / TLS — no plaintext data leaves the LLM.
Access is granted per user and can be revoked from the LLM's connector settings; tokens stop working immediately.
PricingSaaS data is sourced from public pricing pages — nothing customer-confidential is ever exposed.
Questions about this connector?
We're happy to answer any security or compliance questions, provide additional documentation, or schedule a walkthrough for your security team.