Em Plugin MCP Server

Evermuse for Claude Code and Cursor

Make your AI agent speak with the voice of your customers.

Evermuse is a plugin for Claude Code and Cursor that turns everyday product work — specs, dev plans, research, roadmaps, gap analyses, PR reviews — into deliverables grounded in real customer evidence. Instead of plausible-sounding generic answers, you get verbatim quotes, real needs, and actual pain points, each with a source link back to the conversation it came from. And the important things you produce get saved back into Evermuse, so your knowledge base compounds.

It combines proven PM/research methods (adapted from pm-skills) and spec-driven-development discipline (adapted from spec-kit) with the Evermuse MCP, which searches your recorded calls, interviews, and feedback.

What changes after you install it

Ask "what do customers think about our onboarding?" and instead of a guess you get:

Short answer: Onboarding friction centers on manual data entry — 7 mentions across 5 accounts, mostly frustrated.

Theme 1 — Re-keying data by hand (7 mentions / 5 accounts)

"We lose half a day every week re-keying this into the spreadsheet." — Dana K., Acme onboarding call, 12 May 2025 · View in Evermuse [^1]

Every spec gets a Customer Evidence section. Every dev plan opens with the customer quotes that justify it. Every PR review checks the diff against what customers literally asked for. That's the difference.

Install

Claude Code

# Add this repo as a plugin marketplace, then install the plugin
claude plugin marketplace add Usermuse/em-plugin
claude plugin install evermuse@evermuse

Or point at a local checkout during development:

claude plugin marketplace add /path/to/em-plugin
claude plugin install evermuse@evermuse

Cursor

Install from the Cursor Marketplace, or add just the MCP server with a one-click deeplink:

Add Evermuse to Cursor

The Cursor plugin ships the skills and the MCP server.

How invocation differs between the two clients. In Claude Code, skills auto-activate — you describe the task in plain language and the right skill fires. Cursor works differently: skills are invoked explicitly, by typing /skill-name in chat or @skill-name to attach one as context. So in Cursor the skill name is the command:

Because Cursor won't auto-fire a skill, the short aliases matter more there, not less — so Cursor gets its own command layer in cursor-commands/:

/spec        /dev-plan     /research     /setup      /save
/discover    /brainstorm   /pricing      /strategy   /plan-launch    …28 in total

These are plain Markdown with no frontmatter — Cursor's format. The Claude versions in commands/ use YAML frontmatter and $ARGUMENTS, neither of which Cursor supports, so the two directories are kept separate and each client reads its own.

Six Claude commands are deliberately not duplicated — business-model, gap-analysis, release-notes, review-pr, test-scenarios and value-proposition share a name with a skill that already does the same job, so in Cursor you invoke those as /gap-analysis etc. directly and a duplicate command would only make the / list ambiguous.

Authenticate the MCP

The plugin bundles the Evermuse MCP server (https://api.evermuse.com/api/mcp). Before the skills can ground anything, connect it:

• Claude Code — OAuth (recommended): run /mcp in an interactive session and authorize evermuse.
• Cursor — OAuth: open Settings → MCP and authorize evermuse. Cursor registers itself dynamically (DCR), so there's no client ID to configure.
• API key (either client): add an Authorization header for the evermuse server in your MCP settings.

Then run /evermuse:setup to pick your Product and confirm grounding works. (A Product is required for every Evermuse call; a Project like Discovery/Support/Sales is optional and only needed when you're focused on one research effort.)

Quickstart

/evermuse:setup                      # connect + pick your product
/evermuse:research what do customers think about pricing?
/evermuse:spec bulk CSV export for the reporting page
/evermuse:dev-plan specs/bulk-csv-export/spec.md
/evermuse:review-pr 482

The doctrine (how grounding works)

Every skill follows Ground → Work → Cite → Save:

1. Ground — verify the right Product, then run 2–4 differently-worded searches (declaring a nature: evidence = customer voice, context = market, guidance = company strategy) plus verbatim quotes.
2. Work — apply the skill's method, shaped by what the evidence says.
3. Cite — every customer-derived claim carries a source badge and a [^n] footnote.
4. Save — offer to persist the deliverable back into Evermuse via add_source.

The full doctrine lives in the using-evermuse skill, which every other skill defers to.

Commands

Cursor — 28 plain-Markdown commands in cursor-commands/. Same short names as below, without the evermuse: prefix (/spec, /dev-plan, /research). The six that duplicate a skill name are omitted; invoke those as /gap-analysis, /review-pr etc. directly.

Claude Code — the /evermuse:* commands in commands/, listed here:

Flagship: /evermuse:setup · spec · dev-plan · gap-analysis · review-pr · research · release-notes · save

Discovery & execution: discover · brainstorm · triage-requests · interview · write-prd · write-stories · plan-okrs · transform-roadmap · test-scenarios · pre-mortem · red-team-prd · meeting-notes · ship-check

Strategy, research & GTM: strategy · business-model · value-proposition · market-scan · pricing · research-users · competitive-analysis · analyze-feedback · plan-launch · growth-strategy · battlecard · market-product · north-star

Skills also auto-activate when you describe the task in plain language ("write a spec for…", "what are customers saying about…", "review this PR") — you don't have to remember command names.

Skills catalog

• Foundation: using-evermuse (the doctrine + MCP mechanics every skill uses)
• Flagships: write-feature-spec, development-plan, gap-analysis, review-pr, customer-research
• Discovery: brainstorm-ideas, deep-dive, assumptions, prioritize-features, analyze-feature-requests, opportunity-solution-tree, interview-script, summarize-conversation
• Strategy: product-strategy, product-vision, value-proposition, business-model, pricing-strategy, strategy-frameworks, strategy-red-team
• Execution: create-prd, user-stories, brainstorm-okrs, outcome-roadmap, release-notes, test-scenarios, shipping-artifacts
• Market research: user-personas, segmentation, customer-journey-map, market-sizing, competitor-analysis, sentiment-analysis
• GTM & growth: gtm-strategy, beachhead-segment, ideal-customer-profile, competitive-battlecard, positioning-and-messaging, north-star-metric
• Onboarding & meta: setup-evermuse, initial-report, list-capabilities

Tips

• The plugin works best when your project's CLAUDE.md mentions the product name — it helps the agent pick the right Evermuse Product automatically. (Optional.)
• If Evermuse isn't connected, skills still run but produce ⚠ ungrounded output and tell you to authorize the MCP — they never fake evidence.
• Secondary Evermuse assets (the AI-generated roadmap, shaping notes, competitor list, research questions) are used sparingly and always labeled — customer conversations are the source of truth.

Credits

Built on phuryn/pm-skills (MIT) and github/spec-kit (MIT). See ATTRIBUTION.md. Licensed MIT — see LICENSE.