Advertise
MCP.so
Sign In
L

Levels.fyi MCP - Compensation & Cross-Company Level Mappings

@yashzord

Repository

Basic information

Category

Other

Transports

stdio

Author

yashzord

Submitted by

Bhaskara Yashwant Bitra

About Levels.fyi MCP - Compensation & Cross-Company Level Mappings

MCP server exposing Levels.fyi compensation data and curated cross-company SWE level mappings (Google L5 ↔ Meta E5 ↔ Amazon L6) to Claude. 6 tools: get_company_medians, list_supported_companies, get_company_ladder, get_level_mapping, compare_offers, analyze_offer. Uses Levels.fyi

#compensation#salary#levels-fyi#jobs#career#tech-jobs#faang#interview#negotiation

Levels.fyi MCP - Compensation & Cross-Company Level Mappings config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "levels-fyi": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/levels-fyi-mcp",
        "run",
        "levels-fyi-mcp"
      ]
    }
  }
}

Levels.fyi MCP - Compensation & Cross-Company Level Mappings tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Levels.fyi MCP - Compensation & Cross-Company Level Mappings?

A Model Context Protocol (MCP) server that exposes Levels.fyi compensation data and cross-company software engineering level mappings to Claude and other MCP-compatible clients. It provides a curated level translator so users can ask, for example, "what is Google L5 at Meta?" and receive a real answer with confidence ratings, total compensation bands, and derivation notes.

How to use Levels.fyi MCP - Compensation & Cross-Company Level Mappings?

Install with uvx levels-fyi-mcp or pip install levels-fyi-mcp. The server speaks MCP over stdio and is designed to be launched by an MCP client. Configure it in Claude Desktop's claude_desktop_config.json using "command": "uvx" and "args": ["levels-fyi-mcp"], or in Claude Code with claude mcp add --scope user levels-fyi -- uvx levels-fyi-mcp.

Key features of Levels.fyi MCP - Compensation & Cross-Company Level Mappings

  • Exposes six MCP tools for compensation and level data.
  • Cross-company level translator with confidence ratings.
  • Live median total compensation from official Levels.fyi endpoint.
  • Offer comparison and market analysis tools included.
  • Curated SWE ladders for ten major tech companies.
  • Data sourced with attribution, does not scrape web pages.

Use cases of Levels.fyi MCP - Compensation & Cross-Company Level Mappings

  • Query compensation medians for a specific company and job family.
  • Translate career levels between companies (e.g., Google L5 to Meta).
  • Compare job offers side-by-side with normalized total compensation.
  • Determine if an offer is below, at, or above market for a given level.
  • Research career ladders and total compensation bands for top tech companies.

Frequently asked questions

1

How does this server differ from scraping Levels.fyi?

It uses Levels.fyi's official `.md` LLM endpoint and curated public-knowledge ladders, with attribution. It does not scrape web pages or compete with Levels.fyi's commercial API.

2

What are the runtime dependencies?

Python 3.12 or later. Install via `uvx` (recommended) or `pip`. No external API keys or authentication are required.

3

Where does the compensation data come from?

Live medians come from Levels.f

Comments

More Other MCP servers

Lemon.io

lemon-io

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3

P

PickFu MCP

PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

Sequential Thinking

modelcontextprotocol

Model Context Protocol Servers

88.2K

FastMCP v2 🚀

jlowin

🚀 The fast, Pythonic way to build MCP servers and clients.

26.0K

Volley.sh

Volley

A good sequence diagram can solve almost any communication problem in engineering. Volley lets your agent write them as plain text, with the real request and response payloads on every arrow. It checks its own syntax wi

Advertise