Levels.fyi

Was du damit machen kannst

Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.

• Verbindung: Läuft in der Cloud
• Transport: Streamable HTTP
• Kategorie: Suche & KI-Gedächtnis

Installation

Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.

Du brauchst

• Läuft in der CloudNichts zu installieren; die Verbindung läuft übers Internet

Welche App nutzt du?

https://mcp.levels.fyi/

claude mcp add --transport http levels-fyi https://mcp.levels.fyi/

{
  "mcpServers": {
    "levels-fyi": {
      "url": "https://mcp.levels.fyi/"
    }
  }
}

{
  "servers": {
    "levels-fyi": {
      "type": "http",
      "url": "https://mcp.levels.fyi/"
    }
  }
}

https://mcp.levels.fyi/

Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.

Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.

Was er kann

Tool-Namen und -Beschreibungen genau so, wie der Server sie am 7. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.

• get-permissions

  Connectivity 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-percentiles

  Get 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-level

  Get 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-points

  Get 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-company

  Look 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-levels

  Get 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-group

  Resolve 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-companies

  Search 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-vesting

  Find 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-companies

  Get 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-location

  Look 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-stats

  Get 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-locations

  Search 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-family

  Look 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-families

  Search 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-titles

  Search 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-areas

  Search 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-terms

  Resolve 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-profile

  Get 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-resume

  Add 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-submission

  Add 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-id

  Get 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-schedules

  Get 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-jobs

  Search 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-job

  Get 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-feedback

  Report 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-all

  Search 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-filters

  List 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-explanation

  Explain 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-knowledge

  Get 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

Basischecksi

Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 8. Nov. 2026

• ✓ Bestanden

  Entwickler passt zum Repo

  Der Registry-Name wurde über die Domain levels.fyi bestätigt (die Registry prüft, wem die Domain gehört)

• … Noch nicht geprüft

  Wird noch gepflegt

  Dieses Repo haben wir noch nicht von GitHub gelesen

• … Noch nicht geprüft

  Hat eine Lizenz

  Dieses Repo haben wir noch nicht von GitHub gelesen

• ✓ Bestanden

  Endpunkt antwortet

  Antwort in 138 ms (HTTP 200)

• – Nicht zutreffend

  Anmeldung mit OAuth

  Keine Anmeldung nötig

• ✓ Bestanden

  Keine versteckten Anweisungen in Tool-Beschreibungen

  Wir haben 30 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden

Im Vergleich mit anderen in Suche & KI-Gedächtnisi

• Mehr Sterne als 0 % der anderen 5678 Server in dieser Kategorie
• Neuer in der Registry veröffentlicht als 81 % der anderen 5678 Server in dieser Kategorie
• Basischecks gleich gut wie oder besser als bei 100 % der anderen 5678 Server in dieser Kategorie

Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.

Alternativen

Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.

So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti

README vom Entwickler

npm run build:strict   # generate plugin/, the marketplaces and CHANGELOG.md