Intelligent Growth: Product Marketing MCP Server
About
Run positioning, messaging, competitive analysis and launch planning from Claude or ChatGPT with a hosted product marketing MCP server.
Details
- Author
- freewillythe4th
- Categories
- Marketing, Other, AI
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Setup
Install Intelligent Growth: Product Marketing MCP Server in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/freewillythe4th/intelligent-growth-mcp-public
Follow the installation instructions in the repository README, then restart your MCP client.
Intelligent Growth: Product Marketing MCP Server
Run positioning, messaging, competitive analysis and launch planning from Claude or ChatGPT with a hosted product marketing MCP server.
Intelligent Growth product marketing MCP server
Intelligent Growth is a hosted Connector that gives Claude and ChatGPT 60 maintained product marketing skills they can run on demand.
Bring the homepage, customer evidence, launch brief or competitor set already on your desk. Intelligent Growth asks for any missing company context, runs the right skill and returns one recommendation, the reasoning, the assumptions and a working deliverable you can improve.
A product marketing MCP server connects an MCP-compatible AI client to tools and context for repeatable jobs such as positioning reviews, competitive analysis and launch planning.
Intelligent Growth is hosted. You connect to the endpoint, complete the email access step and bring the context for the current job. You do not need to install or operate a local server.
Free access includes the competitive gap workflow and a positioning diagnosis. Full positioning recommendations, messaging reviews, launch workflows and the complete catalogue require the Intelligent Growth OS membership. You can try the complete Connector free for 7 days. A payment card is required, then the trial becomes A$35 a month unless you cancel before it ends. Annual access is A$340 and does not include a trial.
Find repeated category claims, weakly owned territory and a credible opening.
Use Intelligent Growth to run a competitive gap analysis for my product. Start by telling me the product context, customer evidence and competitor URLs you need. Do not begin the analysis until I have supplied the required context.
Make one positioning recommendation and separate evidence from assumptions.
Use Intelligent Growth to review my positioning. Ask for the audience, alternatives, customer evidence, current page and business goal first. Then recommend one direction, explain why it is stronger and tell me what still needs proof.
Turn customer language, proof and objections into a message hierarchy the team can use.
Use Intelligent Growth to review my messaging. Ask for the offer, audience, customer language, current message, available proof and common objections before you start.
Decide what kind of launch the change deserves, then build the brief and actions.
Use Intelligent Growth to plan this launch. Ask for the product change, audience, business goal, deadline, evidence, readiness, owners and constraints. Make the launch call before building the plan.
Seeexample jobsfor the context to bring and the output to expect.
claude mcp add intelligent-growth --transport http https://mcp.intelligentgrowth.app/mcp
Complete the browser access step, then return to Claude Code.
Custom MCP setup depends on your current ChatGPT workspace and plan. If your workspace supports custom apps or connectors, add Intelligent Growth with the hosted endpoint and OAuth. The guided setup page keeps the client-specific instructions current.
- One clear recommendation.
- Reasoning tied to the context you supplied.
- Assumptions and missing evidence.
- A working deliverable you can edit.
- Relevant principles that help you understand the decision.
The result is a decision and a first version grounded in the material you brought, with the reasoning clear enough to review.
This public companion repository includes:
- Connection instructions for supported AI clients.
- Safe starter prompts for common product marketing jobs.
- A public capability overview.
- Troubleshooting, privacy and security guidance.
- A clear description of the hosted product boundary.
This is the public companion for the hosted product. Your AI client receives the applied result for the job you asked it to do.
Your AI client | | secure MCP request v Hosted Intelligent Growth service | | runs the right skill with your context v Structured result returned to your AI client
The result can teach relevant principles, explain the process and show why a recommendation holds. It does not export protected skill files, source libraries or the server implementation.
Read thepublic architecture notefor more detail.
Product analytics record safe events such as connection, skill, access tier, client and outcome. They do not record prompts, outputs, email addresses, credentials, company text or full URLs.
Read the currentprivacy policyandterms.
It works with supported MCP-compatible clients. Claude Desktop and Claude Code have guided instructions. ChatGPT availability depends on the features enabled for your workspace and plan.
The public starting jobs cover competitive analysis, positioning, messaging and launch planning. The product page shows the current workflow catalogue.
The result can explain the relevant principles, show the reasoning behind its recommendation and make assumptions visible. It should help you understand and challenge the work, not only hand back an answer.
Does analytics record my prompt or output?
No. ThePrivacysection above lists the exact boundary.
- Setup guide:intelligentgrowth.app/mcp/start
- Troubleshooting:docs/troubleshooting.md
- Security reports:SECURITY.md
- Product issues and requests: use the GitHub issue templates
Never include access tokens, private company content, customer records or confidential prompts in an issue.
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