Quick answer: The valueIQ MCP Server connects Claude, Cursor, and ChatGPT directly to valueIQ's value intelligence engine. Unlike other value AI tools -- which retrieve from a pre-built library of assets someone built in advance -- valueIQ generates value cases in real time from deal context, using 15+ years of B2B SaaS pricing methodology from 100+ real engagements. No library to build. No signals to ingest.
Server: https://mcp.valueiq.ai
Setup takes five minutes.
By Amar Dhaliwal, CEO & Co-Founder, valueIQ | July 22nd, 2026
Every value intelligence tool that shipped an AI integration this year did the same thing.
They took content their customers already built -- business cases, proof points, prior ROI studies -- organized it, made it retrievable, and called it value AI. The AI became a smarter search layer over a library someone else built.
That is useful. It is also bounded in a way most teams do not realize until it matters.
The library has to exist before the agent can help anyone. Someone has to build it. Someone has to maintain it as deals evolve. And when a rep walks into a deal the library has never seen, the agent has nothing to retrieve.
Most value AI is not intelligence. It is organized storage.
valueIQ works from the other direction. There is no library. An AE describes the deal: product, customer, industry, competitive situation. valueIQ generates the value case in real time, from scratch, grounded in 15+ years of value methodology from 100+ real B2B SaaS pricing engagements. Cited equations. Risk adjustments. An executive-ready business case. The engine does the thinking. Not the archive.
Today, we put that engine inside the AI tools your team is already using.
The valueIQ MCP Server is live
MCP (Model Context Protocol) is an open standard developed by Anthropic and adopted by OpenAI, Google, and Microsoft. It lets AI tools connect directly to external systems and pull live data into their context. Think of it as a plugin layer for AI tools -- except it works across every major platform at once.
Add the valueIQ server once. It runs inside Claude Desktop, Cursor, ChatGPT, VS Code Copilot, and any MCP-compatible client.
From your AI tool, your team can now:
Generate a value case for any active deal
Get coaching grounded in the deal's actual value drivers
Build the champion narrative, CFO summary, or procurement justification -- without switching tabs
Setup: add https://mcp.valueiq.ai to your client's MCP config, sign in via OAuth once, and you are done. No token to copy. No IT project. No integration to maintain.
Where the judgment comes from
When an AE invokes valueIQ from inside Claude, they are not retrieving a template or a prior business case from a library. They are running the valueIQ value engine against live deal context and getting output that holds up in a finance review.
Steven Forth put it directly:
"The question every value tool in the market has to answer is: where does the judgment come from? An AI agent that retrieves and distributes existing assets is useful. But it is bounded by what was already built and stored. Quantifying value for a specific customer, in a specific deal, in real time takes judgment, not pattern-matching. Fifteen years of value methodology IP is what makes that judgment possible. The MCP Server puts it inside the workflow."
That is what the MCP Server exposes. Not a general-purpose assistant. The actual engine.
The data distinction
There are two kinds of intelligence available to an AI agent working on a deal.
Internal engagement data: the notes your team logged, the outcomes your customers reported, the activity in your CRM. Useful for retrieval. Bounded by what your own customers generated.
External market intelligence: what competitors actually charge, what win rates look like at your ACV, what pricing structures hold up in deals like this one. This is what changes the conversation in the room.
Most tools claiming MCP give your AI assistant access to the first kind.
valueIQ gives it both.
Internal data compounds over time. External market intelligence is what lets you respond to what the buyer just said in the room.
What comes next
This release covers value case generation and AI deal coaching. Competitive pricing intelligence follows via the MCP Server in the months ahead: automated pricing page analysis, competitor pricing reports, and the COMPASS value architecture framework.
CRM integration comes later this year. Salesforce and HubSpot native connectors, where a deal-stage trigger automatically generates the value model and pushes it into the opportunity record with no seller action required.
The principle is established. Value intelligence should not live in a tab you have to remember to open. It belongs in every tool a revenue team uses.
Frequently Asked Questions
What is the valueIQ MCP Server?
The valueIQ MCP Server is a Remote MCP (Model Context Protocol) server that connects AI tools -- Claude Desktop, Cursor, ChatGPT, VS Code Copilot -- directly to valueIQ's value intelligence engine. Once connected, revenue teams can generate executive-ready value cases, get deal coaching, and access competitive pricing intelligence from inside their existing AI tool. No tab switch. No copy-pasting. Server URL: https://mcp.valueiq.ai.
What is MCP (Model Context Protocol)?
MCP is an open standard developed by Anthropic in 2024 and adopted by OpenAI, Google, and Microsoft. It lets AI tools connect to external data sources and capabilities so they can access live, real-time information during a conversation. Rather than the user copying data into a prompt, the AI pulls it directly through the MCP connection. As of mid-2026, MCP has over 97 million downloads and is supported by Claude, ChatGPT, Cursor, VS Code Copilot, and HubSpot Breeze.
How is valueIQ different from other value AI tools that use MCP?
Most value AI tools using MCP connect AI agents to a library: stored business cases, proof points, and prior ROI studies that someone built in advance. The AI retrieves from what is already there. valueIQ generates from deal context in real time. There is no library to build. An AE describes the deal -- product, customer, competitive situation -- and valueIQ produces a cited, risk-adjusted value case grounded in 15+ years of B2B SaaS pricing methodology. The distinction is generation vs. retrieval.
What can I do with valueIQ inside Claude Desktop or Cursor?
From any MCP-compatible AI tool, valueIQ users can: generate a full value case for an active deal, get coaching grounded in that deal's value drivers and competitive context, pull pricing intelligence from 2,000+ analyzed B2B SaaS pricing pages, and build CFO-ready summaries and champion narratives. All from a single prompt, without opening valueIQ separately.
How long does it take to connect valueIQ via MCP?
Five minutes. Add https://mcp.valueiq.ai to your AI client's MCP config, sign in via OAuth when prompted, and you are done. No token to manage. No IT project required. Step-by-step setup instructions for Claude Desktop, Claude.ai, Cursor, VS Code Copilot, and ChatGPT are at valueiq.ai/mcp
Does valueIQ train on my deal data?
No. valueIQ does not use deal data passed through MCP connections for model training. The MCP Server runs under your valueIQ identity and respects the same workspace permissions as the app -- the AI assistant sees exactly what you see. You can revoke any connected client at any time from Workspace Settings.
Who is valueIQ for?
valueIQ is built for B2B SaaS revenue teams at companies between $5M and $200M ARR running sales-led motions. The primary users are AEs, CROs, sales & revenue enablement leaders, and Value Engineering teams who need to generate credible business cases and defend price in deals with economic buyers. The MCP Server extends access to any AI tool those teams are already using.
What is the difference between valueIQ and a general-purpose AI assistant for sales?
A general-purpose AI assistant produces outputs based on training data and whatever context a user provides in the prompt. valueIQ is a specialized value intelligence engine: it runs a proprietary value methodology built from 100+ real B2B SaaS pricing engagements against live deal data, and produces cited equations, risk-adjusted figures, and executive-ready output that holds up in a finance review. The methodology is what separates a value case from a number a rep typed.
About the author
Amar Dhaliwal is CEO and Co-Founder of valueIQ. He previously co-founded Thinq, a talent management company acquired by Saba, and has spent two decades building and scaling B2B SaaS companies. valueIQ was founded on a single observation from that career: the revenue stack tracks everything except value, and that gap costs companies deals.
