Evermuse

com.evermusePublished by evermuse.comOfficial publisherv1.0.1Updated Oct 24, 2026

Search your customer interviews, calls, feedback, competitor intel and roadmap from any AI agent.

VerifiedStreamable HTTPWeb executableProductivity & WorkflowKnowledge & Memory

Overview

AI-generated overview

Evermuse connects an AI assistant to your customer research knowledge base so it can search interviews, calls and feedback and ground product work in cited, ver

What you can do
Search and read customer evidence: run evidence searches and open individual items, sources and conversations with citations back to the original call or feedback entry. Retrieve product context: list products, product summaries and projects, and read competitor lists, competitor capabilities and opportunities. Run product workflows: customer research, PRDs, briefs, feature specs, personas, user stories, competitor analysis and conversation summaries, each returning methodology plus grounding. Work with shaping notes: read, create and update notes. Write back to Evermuse: add sources and add or update signals. Read bundled guidance skills.
When to use it
Useful for product managers and teams who want specs, dev plans, PR reviews, roadmaps and research answers grounded in real customer quotes rather than generic model output, with each claim linked to its source conversation. Best when your customer interviews, calls and feedback already live in Evermuse.
Requirements
A remote MCP endpoint reached over streamable HTTP; no local package. An Evermuse account with OAuth authorization (recommended) or an API key supplied in an Authorization header. A Product must be selected for every call; a Project is optional. The README also describes Claude Code and Cursor plugins that bundle skills and commands.
Before you install
Requires OAuth authorization or an API key in the Authorization header, so treat that credential as sensitive. Several tools write to your knowledge base (add_source, add_signals, update_signals, create_shaping_note, update_shaping_note), so assistant actions can change stored data. Customer conversations and quotes are sent to the AI client and cited in output, so review what gets shared.

Installation

In SourceWeft

  1. Open Evermuse in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/com.evermuse%2Fevermuse/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "evermuse": {
      "type": "http",
      "url": "https://api.evermuse.com/api/mcp"
    }
  }
}

README

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

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

Or point at a local checkout during development:

bash
claude plugin marketplace add /path/to/em-pluginclaude 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:

Claude CodeCursor
/evermuse:spec <feature>/write-feature-spec
/evermuse:research <question>/customer-research
"write a spec for bulk CSV export" (auto-activates)/write-feature-spec (explicit)

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

Each carries Cursor's name / description frontmatter. The Claude versions in commands/ use a different frontmatter shape plus $ARGUMENTS, which Cursor does not support, 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.

The MCP tools

OAuth clients — Claude Code and Cursor included — are served these 27 tools:

GroupTools
Guidancefind_skills · read_skills
Product contextget_products · get_product_summary · get_projects
Workflow (start here when the job matches)customer_research · create_prd · write_brief · write_feature_spec · user_personas · user_stories · competitor_analysis · summarize_conversation
Evidencesearch · view_item
Sourcesfind_sources · read_source
Competitors & opportunitieslist_competitors · get_competitor_capabilities · get_opportunities
Shaping notesget_shaping_notes · read_shaping_note · create_shaping_note · update_shaping_note
Writesadd_source · add_signals · update_signals

A workflow tool runs the job's first grounding step and returns the methodology, so start from one when it matches the task rather than reaching straight for search. Every product-scoped call takes product_id as a parameter — there is no session to switch.

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, daily-brief
  • 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, schedule-new-ingestion-tasks

skills/ is generated from the Evermuse monorepo (yarn sync:em-plugin). Do not edit it here — open an issue instead, and the change is made upstream and synced down.

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.

Contributing

  • skills/ is generated. Request changes upstream in the Evermuse monorepo; a sync PR brings them here. Commands, manifests, the README and the logo are hand-written and edited here.
  • logomark.svg must keep this path. The setup-evermuse skill loads it from https://cdn.jsdelivr.net/gh/Usermuse/em-plugin@main/logomark.svg, so moving or renaming it breaks the setup header for every user.
  • Bump the version before merging a sync PR. Cursor re-reviews every update, so each release needs version raised in .claude-plugin/plugin.json, .cursor-plugin/plugin.json and .claude-plugin/marketplace.json.

Credits

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

Source: README.md at commit ec5c36e

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

2
  1. v1.0.1LatestOct 5, 2026
  2. v1.0.0Sep 16, 2026

Score

85% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts