pmmsherpa-mcp

Senior product marketing judgment, in every AI you use.

One MCP server. 38,000+ curated chunks of PMM wisdom. Four tools. Works across Claude.ai, Claude Code, ChatGPT, Codex, Gemini CLI, and Antigravity.

🏔️ Try Sherpa on the web  |  📖 Full Docs  |  💬 Discussions

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You're staring at a positioning doc, a launch plan, or a battlecard. You know the framework. You can't decide if you're applying it right.

PMM Sherpa is the senior PMM you wish you could DM at 11pm. It is a remote MCP server grounded in 38,000+ curated chunks from PMM books, AMAs, podcasts, and practitioner essays, with a calibrated advisory voice and four purpose-built tools. Connect it to whichever AI client you already use, and PMM judgment shows up in your normal flow, not in a new tab.

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✨ The four tools

Tool	When to use it	What it returns
ask_sherpa	Strategic framing, "is this right?", "how should I think about X?", open-ended PMM judgment	Advisory dialogue grounded in the corpus, in Layer 4 voice
draft_artifact	Generating one of 39 named PMM deliverables (positioning, messaging framework, ICP, persona, battlecard, landing page copy, launch plan, demo script, ad variants, comparison matrix, case study, analyst briefing, board deck, and more)	Structured deliverable with framework baked in
get_feedback	Pressure-testing a draft, landing page, deck, or copy you already have	Critique against senior PMM heuristics: gaps + recommendations
scope_pmm_research	Planning phase of a Deep Research run on a PMM-adjacent question	Research brief: angle, sub-questions, sources to weight, anti-patterns

All four are grounded in the same corpus and speak the same voice. You orchestrate. Sherpa supplies the judgment.

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Quick Start

Pick your client. Each setup takes a minute.

 Claude.ai  ·  Pro / Max / Team / Enterprise

1. Claude.ai → Settings → Connectors → Add custom connector
2. Name: PMM Sherpa  ·  URL: https://pmmsherpa.com/api/mcp  ·  Auth: OAuth
3. Sign in with the same Google account you use on pmmsherpa.com
4. (Recommended) Upload the Claude.ai skill so Sherpa auto-triggers on PMM keywords with the right voice
5. Ask: "Help me sharpen positioning for [your product]."

 Claude Code  ·  CLI + IDE extensions

claude mcp add pmm-sherpa --transport http https://pmmsherpa.com/api/mcp

OAuth opens in your browser on first call. Then install the skill so Sherpa auto-fires on PMM keywords:

git clone https://github.com/boommark/pmmsherpa-mcp.git ~/.pmm-sherpa
mkdir -p ~/.claude/skills
ln -s ~/.pmm-sherpa/skills/claude-code ~/.claude/skills/pmm-sherpa

In your next Claude Code session, prompt:

> See pmmsherpa.com. Help me create a battlecard against its top competitor.

 ChatGPT  ·  Plus / Pro / Team / Business — Developer Mode

1. ChatGPT → Settings → Connectors → Advanced → toggle Developer Mode ON
2. Settings → Connectors → Create:
   • Name: PMM Sherpa
   • MCP Server URL: https://pmmsherpa.com/api/mcp
   • Authentication: OAuth, "I trust this application"
3. Sign in with the same Google account as pmmsherpa.com
4. Settings → Personalization → Custom Instructions → paste skills/chatgpt/custom-instructions.md (~1,200 chars). This is the skill-equivalent for ChatGPT, since it does not yet support skills natively.
5. In a new chat, toggle PMM Sherpa ON in the Tools panel. Ask: "Help me sharpen the positioning for [your product] against [competitor]."

Codex CLI, Gemini CLI, and Antigravity also work. See Multi-client install below.

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🌐 Multi-client install

Sherpa works in every modern MCP-capable AI client. Pick yours.

Claude.ai (Pro, Max, Team, Enterprise) — recommended

1. Add the connector

Settings → Connectors → Add custom connector:

• Name: PMM Sherpa
• MCP Server URL: https://pmmsherpa.com/api/mcp
• Authentication: OAuth

Sign in with the same Google account as pmmsherpa.com. Approve.

2. Upload the skill (recommended)

Skills auto-trigger Sherpa on PMM keywords and enforce the Layer 4 voice across the conversation. Without one, you have to remember to toggle the connector and pick the right tool every time.

1. Download skills/claude-ai/pmm-sherpa-skill.zip from this repo
2. Claude.ai → Settings → Capabilities → Skills → Upload skill
3. Upload the zip → toggle ON

3. Try it

Help me build a battlecard against [competitor] for [your product].

The skill kicks in. PMM Sherpa is called automatically.

Full Claude.ai setup

Claude Code (CLI + IDE extensions)

1. Add the MCP server

claude mcp add pmm-sherpa --transport http https://pmmsherpa.com/api/mcp

On first call, Claude Code opens a browser for OAuth. Sign in with the same Google account as pmmsherpa.com.

2. Install the skill

git clone https://github.com/boommark/pmmsherpa-mcp.git ~/.pmm-sherpa
mkdir -p ~/.claude/skills
ln -s ~/.pmm-sherpa/skills/claude-code ~/.claude/skills/pmm-sherpa

The skill loads from .claude/skills/pmm-sherpa/SKILL.md on next session.

3. Try it

> /mcp
> See pmmsherpa.com. Help me create a battlecard against its top competitor.

Full Claude Code setup

ChatGPT (Plus, Pro, Team, Business — Developer Mode)

1. Enable Developer Mode

Settings → Connectors → Advanced → toggle Developer Mode ON.

2. Add the connector

Settings → Connectors → Create:

• Name: PMM Sherpa
• MCP Server URL: https://pmmsherpa.com/api/mcp
• Authentication: OAuth
• Trust: "I trust this application"

Sign in with the same Google account as pmmsherpa.com.

3. Paste custom instructions

Settings → Personalization → Custom Instructions → paste the contents of skills/chatgpt/custom-instructions.md (~1,200 chars). This is the equivalent of the skill on ChatGPT, since ChatGPT does not yet support skills natively.

4. Try it

Help me sharpen the positioning for [your product] against [competitor].

Make sure the PMM Sherpa toggle is ON in the conversation's Tools panel.

Full ChatGPT setup

Codex CLI (OpenAI)

codex mcp add pmm-sherpa --transport http https://pmmsherpa.com/api/mcp

OAuth flow opens in browser on first call. Use the ChatGPT custom-instructions block in your ~/.codex/instructions.md to get skill-equivalent behavior.

Full Codex setup

Gemini CLI

Edit ~/.gemini/settings.json:

{
  "mcpServers": {
    "pmm-sherpa": {
      "transport": "http",
      "url": "https://pmmsherpa.com/api/mcp"
    }
  }
}

OAuth flow opens on first call. Paste the ChatGPT custom-instructions block into ~/.gemini/GEMINI.md for skill-equivalent voice.

Full Gemini CLI setup

Antigravity

Settings → MCP Servers → Add server:

• Name: pmm-sherpa
• URL: https://pmmsherpa.com/api/mcp
• Auth: OAuth

Full Antigravity setup

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📦 Skills + custom instructions

Sherpa speaks a calibrated voice (Layer 4: discovery cadence, story-first, framework-named-mid, single-question close, never em-dashes). The skills enforce this voice and auto-route to the right tool.

Client	Format	File
Claude.ai	Skill (zip)	skills/claude-ai/pmm-sherpa-skill.zip
Claude Code	Skill folder	skills/claude-code/
ChatGPT	Custom Instructions text	skills/chatgpt/custom-instructions.md
Codex / Gemini CLI / Antigravity	Use the ChatGPT-style custom instructions	Same file as ChatGPT

Without the skill, Sherpa still works. You just have to remember to toggle the connector ON and pick the right tool. With the skill, it picks correctly on its own.

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💡 Examples

Five sample workflows, end-to-end:

• Prep for a PMM interview at a target company. ask_sherpa scopes the company, draft_artifact builds a teardown, get_feedback pressure-tests your case answers.
• Positioning sharpening in Claude.ai. From rough draft to crisp positioning statement, with one Sherpa call.
• Launch deck via skill in Claude Code. Skill auto-fires, draft_artifact produces the deck outline.
• Battlecard in ChatGPT. Custom instructions route to draft_artifact, response stays in voice.
• Deep Research with Sherpa. scope_pmm_research plans, subagents call ask_sherpa, get_feedback synthesizes.