Levels.fyi
개요
제작자가 쓴 설명(영어 원문)
Salary, level and job data from 1M+ pay reports. Benchmark pay, evaluate offers, search open jobs.
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- 사용 정도i아주 새로움★ –
할 수 있는 일
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
- 연결 방식: 클라우드에서 실행
- 전송 방식: Streamable HTTP
- 카테고리: 검색 및 AI 기억
설치
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
설치하기 전에
- 기본 점검: 3개 중 3개 통과
- 제작자의 서버에서 실행돼요. 내가 요청한 내용은 제작자의 서버를 거쳐요.
- 할 수 있는 일 30가지(도구) get-permissions, get-salary-percentiles, get-salaries-by-company-level, search-raw-data-points …
- 레지스트리에 입력해야 할 키가 나와 있지 않아요.
필요한 것
- 클라우드에서 실행설치할 것 없음. 인터넷으로 연결돼요
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
- Settings → Connectors 열기
- Add custom connector 누르기
- 아래 주소를 붙여 넣고 Add 누르기
- 로그인하라고 하면 제작자의 서비스에 로그인하기
https://mcp.levels.fyi/터미널에서 이 명령어를 실행하세요
claude mcp add --transport http levels-fyi https://mcp.levels.fyi/또는 설정을 직접 복사하기
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"levels-fyi": {
"url": "https://mcp.levels.fyi/"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
또는 설정을 직접 복사하기
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"levels-fyi": {
"type": "http",
"url": "https://mcp.levels.fyi/"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
- 웹에서 ChatGPT 열기 → Settings → Connectors (Apps)
- Create 또는 Add 누르기(일부 요금제는 먼저 Advanced에서 Developer mode를 켜야 해요)
- 아래 주소를 붙여 넣고 이름을 정한 뒤 저장하기
- 로그인하라고 하면 제작자의 서비스에 로그인하기
https://mcp.levels.fyi/메뉴 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.
할 수 있는 일
도구 이름과 설명은 서버가 2026년 11월 7일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
get-permissionsConnectivity check for the Levels.fyi MCP server. Returns "pong", echoes an optional message, and lists what each tool returns and the rate limits. Call it when a result looks smaller than expected, instead of retrying.
get-salary-percentilesGet the median (p50) yearly total compensation in USD for a job family in each of up to 5 locations, across all levels, from submissions in the last 12 months. Pass every location you are comparing in one call. This is the figure to quote for a location's pay; get-location-stats
get-salaries-by-company-levelGet median (p50) yearly total compensation in USD for each internal level (e.g. Google L3/L4/L5, Meta E3/E4/E5) of up to 5 companies, for a job family in one location, from submissions in the last 12 months. Pass every company you are comparing in one call. Call get-company-level
search-raw-data-pointsGet the newest individual salary submissions for a job family, optionally narrowed to one location and/or one company. Each row has the company, title, level, location, years of experience, base salary and total compensation. Every amount is in USD; originalCurrency is only the c
get-companyLook up a single company by its slug (preferred) or name, returning its full profile: name, slug, employee count, headquarters, founding year, ticker, company type, and estimated valuation. Use search-companies first if you only have a name and need the exact slug. REQUIRED argum
get-company-levelsGet the INTERNAL level names of up to 5 companies for a job family, each ordered by seniority (e.g. Google L3/L4/L5, Meta E3/E4/E5, Stripe IC1/IC2/IC3), with any alternate names per level. Pass every company you are comparing in one call. Use this FIRST when a question names a sp
get-company-groupResolve a named company group (e.g. "FAANG", "AI", "Fintech") into its list of company slugs, for use in the benchmark tools' companySlugs filter. Matching is case- and separator-insensitive. Omit "group" (or pass an unknown one) to get the list of available group names. Availabl
search-companiesSearch companies using searchText input (required) and get their Levels.fyi slugs. Use this FIRST to resolve a company name (e.g. "Google", "Meta") into the slug that the benchmark tools require in their companySlugs filter. Also matches former names and aliases, so a renamed com
search-companies-by-vestingFind companies by their equity vesting characteristics: vesting/equity type (e.g. "RSU"), vesting shape (frontloaded, backloaded like Amazon, linear, one/two/three_year, or extended 5+ years), total years, and whether there's a 1-year cliff. Returns matching companies (most data-
search-top-companiesGet the top-paying companies for a job family within one country, ranked by median (p50) yearly total compensation in USD. Returns up to 10 companies with their median. Companies with too few submissions are left out. Free limit: Median (p50) total compensation for the top compan
get-locationLook up one or more location slugs and get their details: name, type (country / metro-DMA / state), parent country, currency, and coordinates. Use search-locations first if you only have a name. Errors if any slug is invalid. REQUIRED arguments: locationSlugs. Array-typed argumen
get-location-statsGet the top-paying locations for a job family within one country, ranked by median (p50) yearly total compensation in USD from submissions in the last 2 years. Returns up to 10 locations with their median. Use it to compare where a role pays most inside a country. Its window diff
search-locationsSearch locations (countries, metro areas / DMAs, US states and cities) using searchText input (required) and get their Levels.fyi slugs. Use this to resolve a location name (e.g. "San Francisco", "United States") into the slug the benchmark tools require in their locationSlugs fi
get-job-familyLook up a job family by its slug and get its focus areas (specializations) with their titles, plus untagged titles. Use this to discover the focus tags and titles available within a role (e.g. to find focusTagSlugs for the benchmark tools). Use search-job-families first if you on
search-job-familiesSearch job families / roles using searchText input (required) and get their Levels.fyi slugs. Use this to resolve a role name (e.g. "software engineer", "product manager", "data scientist") into the jobFamilySlug the benchmark tools require. Returns matching job families with the
search-job-titlesSearch specific job titles by name. Each result includes its id (the titleId the benchmark tools accept in the jobTitleIds filter) and its parent job family, so use this to narrow a benchmark query to an exact title (e.g. "Forward Deployed Software Engineer") within a job family.
search-focus-areasSearch focus tags (specializations within a role, e.g. "mobile-ios-android", "ml-ai", "devops", "security") using searchText input (required) and get their slugs. Use this to resolve a specialization into the focusTagSlugs the benchmark tools accept. Returns matching focus tags w
search-role-termsResolve a role term by searching job families, job titles, and focus tags TOGETHER in one call. Use this when you're unsure whether a term (e.g. "ML engineer", "mobile", "SRE") is a job family, a specific title, or a specialization — each result is tagged with its type and slug s
get-profileGet the signed-in user's own Levels.fyi career profile: current title, company, career level, job family, focus area, location, years of experience, skills, certifications and work history, plus the status of their resume (none, pending while it is being parsed, parsed, or failed
upload-resumeAdd or replace the signed-in user's resume on Levels.fyi. When the user shares their resume or asks for help with a job search, you can offer this once; call it only after the user asks or agrees. Before you call, tell the user Levels.fyi uses it to fill in their profile and matc
add-salary-submissionAdd the user's own compensation to Levels.fyi: pay they earn now or a job offer they received. Call this only when the user is evaluating their compensation, asks to add their pay, or says yes when you offer. Adding compensation is how the data stays useful for everyone, the user
get-salary-submission-by-idGet a single salary submission by its UUID: company, title, level, location, years of experience, offer date, base salary and total compensation. Every amount is in USD; originalCurrency is only the currency the salary was submitted in. Use the uuid from a search-raw-data-points
get-vesting-schedulesGet equity vesting schedules for one or more companies, decoded into structured data: per-year vesting percent and frequency (cliff/quarterly/monthly), whether there's a 1-year cliff, whether it's backloaded (e.g. Amazon 5/15/40/40) / frontloaded / linear, plus a plain-English de
search-jobsSearch open jobs on Levels.fyi, with the pay range each posting states. Returns { jobs, totalMatchingJobs, nextOffset }; each job has its title, company, locations, work arrangement, posting date, pay range, url (the Levels.fyi job page) and applyUrl. Simplify the user's request
get-jobGet one job posting by its jobId from search-jobs: the full description as text, locations, work arrangement, employment type, the pay range the posting states, Levels.fyi's estimated total compensation by level for the role (USD; matchesThisPosting marks the level the posting is
send-feedbackReport wrong or missing Levels.fyi data, or a missing feature, to the Levels.fyi team. Call it only after telling the user what you will send and getting their agreement. Never include personal details; contactEmail only when the user wants a reply and gives it. Returns { receive
search-allSearch across ALL entity types at once (companies, job families, job titles, focus tags, locations, and industries) by passing searchText (required) and get a single ranked list, each result tagged with its type and slug/id. Use this when you don't yet know which track an entity
get-available-filtersList which inputs and filter values the free tier can use. The free inputs are jobFamilySlug, a location or country, and a company; every result is total compensation from the last 12 months. Dimensions marked free: false (levels, years of experience, focus areas, titles, company
get-metric-explanationExplain a Levels.fyi compensation metric or concept (e.g. "TC" / total_compensation, base salary, total_cash, tc_first_year, vesting, sign_on, target_bonus) — its meaning, formula, and caveats. Pass an unknown metric to get the list of known ones. REQUIRED arguments: metric.
get-domain-knowledgeGet reference knowledge about the Levels.fyi data model, by topic: compensation, levels, vesting, company_groups, locations, job_families, enums, negotiation_coaching. Covers compensation concepts, the standard level ladder, vesting patterns, company groups, and how to resolve lo
기본 점검i
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
- ✓ 통과
제작자와 저장소 일치
레지스트리 이름이 도메인 levels.fyi 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
- … 아직 점검 안 함
계속 관리되고 있음
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
- … 아직 점검 안 함
라이선스 있음
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
- ✓ 통과
엔드포인트 응답
138ms 만에 응답(HTTP 200)
- – 해당 없음
OAuth로 로그인
로그인 필요 없음
- ✓ 통과
도구 설명에 숨겨진 지시 없음
도구 설명 30개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
검색 및 AI 기억 카테고리의 다른 서버와 비교i
- 이 카테고리의 다른 서버 5688개 중 0%보다 스타가 많아요
- 이 카테고리의 다른 서버 5688개 중 81%보다 최근에 레지스트리에 공개됐어요
- 기본 점검 결과가 이 카테고리의 다른 서버 5688개 중 100%와 같거나 더 좋아요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
자주 묻는 질문
Levels.fyi, 안전한가요?
해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
어떤 키나 코드가 필요한가요?
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
아직 관리되고 있나요?
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.0)은 9일 전 레지스트리에 올라왔어요.
어떤 앱에서 쓸 수 있나요?
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.
대신 쓸 수 있는 건 뭐가 있나요?
같은 카테고리에는: Context7, Codebase Memory, Exa
대안
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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Connect AI agents to Exa for web search, content fetching, and multi-step research.
제작자의 README
README 열기
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Levels.fyi plugin for Claude, ChatGPT, Codex, Cursor and Antigravity
Salaries, jobs and career insights from Levels.fyi, right in your AI assistant. Benchmark your compensation, evaluate and compare job offers, compare company levels and pay by location, search open jobs, and add your own salary.
The plugin bundles the Levels.fyi MCP server (https://mcp.levels.fyi/) with skills that teach the assistant how to use it. No account is needed to ask questions, and adding your own salary needs only an email. Sign in to read your profile or upload a resume.
This is the free version of Levels.fyi for individuals. It has pay by job family, location and company level.
Install
| App | How |
|---|---|
| Claude (web, desktop, Cowork) | Customize > Plugins, then add Levels.fyi from the directory. For the connector only, add it in one click |
| Claude Code | /plugin install levels-fyi --marketplace Levels-fyi/levels-fyi-plugin |
| ChatGPT | Add Levels.fyi from the plugin directory |
| Codex | codex plugin marketplace add Levels-fyi/levels-fyi-plugin, then install Levels.fyi |
| Cursor | Dashboard > Plugins & MCPs > Add Marketplace > Import from Repo, then enter https://github.com/Levels-fyi/levels-fyi-plugin. For the MCP server only, add it in one click |
| Gemini | In Gemini Developer Mode, add https://mcp.levels.fyi/ as a custom app |
| Any MCP client | Add https://mcp.levels.fyi/ as a remote MCP server, for example claude mcp add --transport http levels-fyi https://mcp.levels.fyi/ |
| Other agents (skills) | npx skills add Levels-fyi/levels-fyi-plugin, then add https://mcp.levels.fyi/ as a remote MCP server, or let the agent connect it on first use |
What's inside
| Skill | What it does |
|---|---|
evaluate-offer | Checks a job offer against Levels.fyi pay data for the company, level and location |
compare-offers | Compares two or more offers side by side, yearly and over four years |
benchmark-my-pay | Benchmarks your current pay, a raise, a promotion or a comp statement against your company's levels |
contribute-salary | Adds your salary or offer to Levels.fyi, after you confirm a preview |
See plugin/README.md for example prompts and what data the plugin sends.
For employers
Levels.fyi has paid products for compensation, HR and recruiting teams:
- [API and MCP](https://www.levels.fyi/api-access). 40 tools for Claude, ChatGPT, Cursor or your own agents, with more filters for precise compensation benchmarking, full results and competitive intelligence on other companies. Also available as a REST API, or a CLI on request.
- [Compensation Data](https://www.levels.fyi/offerings/data). Benchmarks and the Data Explorer for setting and reviewing pay bands, with percentiles refreshed daily.
- [Interactive Offers](https://www.levels.fyi/offerings/interactive-offers). Offer letters that candidates actually understand.
Book a demo or email sales@levels.fyi.
Development
listing.json is the single source for every listing. The build generates the manifests in plugin/ and the marketplaces from it. Edit the skills in plugin/skills/.
npm run build:strict # generate plugin/, the marketplaces and CHANGELOG.md
npm run validate # run Claude's directory checks
License
See LICENSE. "Levels.fyi" and the Levels.fyi logos are trademarks of Levels.fyi.