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PopNx MCPMCP servers for people who use AI · explained in plain words

Evermuse

by Usermuseversion 1.0.1i★ 0iRuns in the cloud
Registry namecom.evermuse/evermuse

How to install

What it does

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

  • Connects Runs in the cloud
  • Account or key Sign in to the service when you connect (OAuth)
  • Category Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Passed 4/5 checks · What you ask goes through the maker’s server (api.evermuse.com) · ✓ Commands checked Nov 13, 2026

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude · about 2 min

No key, nothing to install · Set it up once on claude.ai or the desktop app, then use it in chat · free accounts can add 1 · on Team/Enterprise an Owner adds it

  1. Open Claude’s Connectors page

    CustomizeConnectors

    CustomizeConnectors1Add2https://…3Add4
  2. Click “Add” → “Custom” → “Web” and fill in these 2 fields

    Copy each value into the field with the same name in Claude, then click Continue

    Name · NameEvermuse
    Remote MCP server URL · Addresshttps://api.evermuse.com/api/mcp

    Click Continue past the sign-in settings Claude detected · under Authentication choose what the maker says (Sign in now, Sign in when needed or No sign in), then click Add

  3. Turn it on in a chat

    +ConnectorsEvermuse

  4. Try it

    Use Evermuse and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using Evermuse or shows a Evermuse tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with ChatGPT, depending on your plan

Full MCP: ChatGPT Business, Enterprise or Edu on the web · Pro: connects with read/fetch permissions, so tools that change data may not work · Plus: not confirmed in OpenAI’s docs; if you see an add-custom-MCP option on the Plugins page you can try these steps · web only

  1. Open ChatGPT’s add-MCP page on the web

    Plugins+Add custom MCP server

    ChatGPTPlugins1+2https://…3Create4
  2. Fill in the name and address

    Enter a name, paste the address under Connection, tick the risk warning and click Create as a plugin

    Name · NameEvermuse
    Connection · Addresshttps://api.evermuse.com/api/mcp
  3. Pick Evermuse in a chat

    Start a new chat and pick Evermuse from your plugins before typing

  4. Try it

    Use Evermuse and tell me what you can do for me, then show me one thing

    ✓ If ChatGPT says it is using Evermuse or shows a Evermuse tool in the answer, you are connected

Menu names checked against OpenAI’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Claude Code · about 2 min

No key, nothing to install

  1. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  2. Paste this command and press Enter

    claude mcp add --transport http --scope user evermuse https://api.evermuse.com/api/mcp
  3. Type /mcp in Claude Code

    You should see Evermuse listed as connected

  4. Try it

    Use Evermuse and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using Evermuse or shows a Evermuse tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor · about 2 min

No key, nothing to install

  1. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  2. Open the AI chat in Cursor in Agent mode

  3. Try it

    Use Evermuse and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using Evermuse or shows a Evermuse tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code · about 2 min

No key, nothing to install

  1. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  2. Open the AI chat in VS Code in Agent mode

  3. Try it

    Use Evermuse and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using Evermuse or shows a Evermuse tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

Address for apps that connect over the web

Addresshttps://api.evermuse.com/api/mcp

JSON settings are under “For developers” below

Stuck? Ask people who use Evermuse💬 Discussion →
For developers: Terminal commands and JSON settings

Over the web

Claude Code

claude mcp add --transport http --scope user evermuse https://api.evermuse.com/api/mcp

Cursor (~/.cursor/mcp.json)

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

VS Code (mcp.json)

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

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

Downloads per weeki
Not on npm/PyPI
Verified domain
✓ evermuse.com
Connection
Runs in the cloud
Transport
streamable-http
Latest versioni
1.0.1
Published to registryi
Oct 6, 2026
Code last changedi
Nov 7, 2026
Maker
Usermuse
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Connect over the internet in

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

All apps, with pros and cons →

Related guides

What it can do

The server asks you to sign in before it lists its tools.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 16, 2026

  • ! Caution

    Maker matches the repo

    The publisher (evermuse.com) is not the repo owner (Usermuse); someone else may have listed it

  • ✓ Pass

    Still maintained

    Code last changed 9 days ago

  • ✓ Pass

    Has a licence

    Uses MIT

  • ✓ Pass

    Endpoint responds

    Responded in 304 ms (HTTP 401)

  • ✓ Pass

    Sign-in with OAuth

    Declares OAuth sign-in, so your AI app can take you to log in

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

What we check → · JSON

Makers: ask for a re-check or report wrong info

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

No reviews yet

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Compared with others in Search & AI memoryi

  • More stars than 0% of the other 6192 servers in this category
  • Published to the registry more recently than 48% of the other 6192 servers in this category
  • Basic checks equal to or better than 56% of the other 6192 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Evermuse safe?

It passed 4 of 5 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed 9 days ago, and the latest version (1.0.1) reached the registry 41 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT on the web (full MCP on Business and above; Pro read-only).

What can I use instead?

In the same category: OpenSEO, Exa, Mockserver, Microsoft Learn MCP, Docs

Similar alternatives

Same category, other makers, commands already checked. Official ones first, then by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

OpenSEO

Keyword research, site audits, rank tracking and AI visibility for your AI agent.

by every-appWidely used★ 27.8KUpdated 2 days ago

Runs in the cloud✓ everyapp.com

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

by exa-labsWidely used★ 5.2KUpdated 2 months ago

Runs in the cloud✓ service owner · exa.aiTried by the PopNx team

Mockserver

Mock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.

by mock-serverGrowing★ 5KUpdated 20 days ago

Runs on your computer✓ service owner · mock-server.com

Microsoft Learn MCP

Official Microsoft Learn MCP Server – real-time, trusted docs & code samples for AI and LLMs.

by MicrosoftDocsWidely used★ 2KUpdated 12 months ago

Runs in the cloud✓ service owner · microsoft.comTried by the PopNx team

Docs

Search and read Empryo's documentation. Read-only, no auth, no local access.

by proxysoulGrowing★ 1.6KUpdated 2 months ago

Runs in the cloud✓ empryo.com
  • OpenSEO — Runs in the cloud, nothing to install · No key needed
  • Exa — Runs in the cloud, nothing to install · No key needed · In Claude’s directory
  • Mockserver — Installs on your computer · No key needed
  • Microsoft Learn MCP — Runs in the cloud, nothing to install · No key needed · In Claude’s directory
  • Docs — Runs in the cloud, nothing to install · No key needed

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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:

Claude CodeCursor
/evermuse:spec /write-feature-spec
/evermuse:research /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

The submitted default cloud OAuth configuration exposes these 27 tools:

GroupTools
Read-only: guidancefind_skills · read_skills
Read-only: product contextget_products · get_product_summary · get_projects
Read-only: workflow (start here)customer_research · create_prd · write_brief · write_feature_spec · user_personas · user_stories · competitor_analysis · summarize_conversation
Read-only: evidence and sourcessearch · view_item · find_sources · read_source
Read-only: internal assetslist_competitors · get_competitor_capabilities · get_opportunities · get_shaping_notes · read_shaping_note
Write: additiveadd_source · add_signals · create_shaping_note
Write: overwrites existing data (destructive)update_signals · update_shaping_note

Workflow tools are read-only despite their imperative names: create_prd creates nothing — you write the document, and it is stored only if you then call a write tool.

Not every workspace gets exactly this list. Workspaces with shaping writes disabled don't get create_shaping_note / update_shaping_note, local-storage workspaces get only the guidance tools from the cloud endpoint, and other feature flags can add tools. tools/list is the authority for what a given workspace is served.

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.

Tool annotations

Every tool sets all four MCP tool annotations explicitly to true or false, plus a title.

Tool(s)readOnlyHintdestructiveHintidempotentHintopenWorldHintWhy
The 22 read-only tools: find_skills · read_skills · get_products · get_product_summary · get_projects · customer_research · create_prd · write_brief · write_feature_spec · user_personas · user_stories · competitor_analysis · summarize_conversation · search · view_item · find_sources · read_source · list_competitors · get_competitor_capabilities · get_opportunities · get_shaping_notes · read_shaping_notetruefalsetruefalseRetrieve guidance or authorized workspace data. They never create, overwrite, delete or publish the user's sources, signals or notes.
add_sourcefalsefalsefalsetrueAdds a source to the caller's workspace and queues ingestion; the response confirms submission, not completion. Meeting imports can fetch a caller-supplied public HTTPS media URL (media.url), which is why it is open-world. Meeting and communication imports deduplicate on external_source + external_id, but note, document and spreadsheet modes don't, so a repeated call can create another source. It never overwrites an existing source.
add_signalsfalsefalsetruefalseAdds up to 100 signals to an existing source. Replays are deduplicated on source, type and content, so repeating a call creates nothing new.
create_shaping_notefalsefalsefalsefalseCreates a new shaping note and never modifies an existing one. Repeating the call creates a second note.
update_signalsfalsetruefalsefalseOverwrites the passed fields on up to 100 existing signals (null clears an optional title or attribution). Signals have no version history. Repeating a title, content or type update advances the embedding revision and queues embedding work again, so a repeat has further effects.
update_shaping_notefalsetruefalsefalseReplaces each passed field outright, content and tags included. Every successful update, a repeat included, creates a new version, so it is not idempotent. Version history allows recovery, but the current fields are still overwritten.

Idempotency here means a repeated identical call has no further effect, not that the data can't change between calls. Every tool except add_source works only on Evermuse guidance or the caller's own workspace data (hosted storage and embedding services included); add_source can also download a media file from a URL the caller supplies. The third-party proxy tools (find_tool / call_tool) are not served to OAuth clients. No tool on this surface renders UI.

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, `c

Only the beginning is shown; read the rest in the repo