Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Search your customer interviews, calls, feedback, competitor intel and roadmap from any AI agent.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://api.evermuse.com/api/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http evermuse https://api.evermuse.com/api/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"evermuse": {
"url": "https://api.evermuse.com/api/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"evermuse": {
"type": "http",
"url": "https://api.evermuse.com/api/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://api.evermuse.com/api/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
게시자(evermuse.com)가 저장소 소유자(Usermuse)가 아니에요. 다른 사람이 등록했을 수 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 0개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.1)은 31일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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.
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.
# 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
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 Code | Cursor |
|---|---|
/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.
The plugin bundles the Evermuse MCP server (https://api.evermuse.com/api/mcp). Before the skills can ground anything, connect it:
/mcp in an interactive session and authorize evermuse.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.)
/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
Every skill follows Ground → Work → Cite → Save:
evidence = customer voice, context = market, guidance = company strategy) plus verbatim quotes.[^n] footnote.add_source.The full doctrine lives in the using-evermuse skill, which every other skill defers to.
The submitted default cloud OAuth configuration exposes these 27 tools:
| Group | Tools |
|---|---|
| Read-only: guidance | find_skills · read_skills |
| Read-only: product context | get_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 sources | search · view_item · find_sources · read_source |
| Read-only: internal assets | list_competitors · get_competitor_capabilities · get_opportunities · get_shaping_notes · read_shaping_note |
| Write: additive | add_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.
Every tool sets all four MCP tool annotations explicitly to true or false, plus a title.
| Tool(s) | readOnlyHint | destructiveHint | idempotentHint | openWorldHint | Why |
|---|---|---|---|---|---|
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_note | true | false | true | false | Retrieve guidance or authorized workspace data. They never create, overwrite, delete or publish the user's sources, signals or notes. |
add_source | false | false | false | true | Adds 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_signals | false | false | true | false | Adds 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_note | false | false | false | false | Creates a new shaping note and never modifies an existing one. Repeating the call creates a second note. |
update_signals | false | true | false | false | Overwrites 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_note | false | true | false | false | Replaces 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.
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.
using-evermuse (the doctrine + MCP mechanics every skill uses)write-feature-spec, development-plan, gap-analysis, review-pr, customer-researchbrainstorm-ideas, deep-dive, assumptions, prioritize-features, analyze-feature-requests, opportunity-solution-tree, interview-script, summarize-conversationproduct-strategy, product-vision, value-proposition, business-model, pricing-strategy, strategy-frameworks, strategy-red-teamcreate-prd, user-stories, brainstorm-okrs, outcome-roadmap, release-notes, test-scenarios, shipping-artifacts, daily-briefuser-personas, segmentation, customer-journey-map, market-sizing, `c앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요