Glassdoor Salary & Reviews Intel - MCP Server avatar

Glassdoor Salary & Reviews Intel - MCP Server

Pricing

$5.00 / 1,000 mcp tool calls

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Glassdoor Salary & Reviews Intel - MCP Server

Glassdoor Salary & Reviews Intel - MCP Server

MCP tool server giving AI agents logged-out Glassdoor comp benchmarks, rating sub-scores, review themes, and interview intel as structured tools; x402/Skyfire-ready. Five tools: get_company_overview, get_salary_benchmarks, get_review_intel, get_interview_intel, compare_companies.

Pricing

$5.00 / 1,000 mcp tool calls

Rating

0.0

(0)

Developer

Seibs.co

Seibs.co

Maintained by Community

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Monthly active users

7 days ago

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Model Context Protocol (MCP) server wrapper for glassdoor-salary-intel. Gives AI agents direct, pay-per-call access to logged-out Glassdoor comp benchmarks, rating sub-scores, review themes, and interview intel - no API token required when called over x402 / Skyfire.

What it is

A thin MCP server that exposes the Glassdoor intel engine as five typed tools an AI agent can call. Each tool runs the upstream glassdoor-salary-intel actor against logged-out public Glassdoor pages and reshapes the result into small, deterministic JSON (no full review bodies, no named reviewers). Built for comp-analysis copilots, recruiting agents, candidate-prep bots, and employer-research workflows.

Honest note: each tool call triggers a live upstream run. Glassdoor sits behind Cloudflare and is fetched through a residential proxy, so a single call can take up to a minute under adverse conditions, and an occasional company will come back blocked or unresolved (the tool returns ok=false with a reason rather than crashing).

Tools

ToolArgsReturns
get_company_overviewcompanyOne slim company record: overall rating, every rating sub-score, recommend-to-friend %, CEO approval %, firmographics.
get_salary_benchmarkscompany, role_filter? (list), max_datapoints? (<=100)Per-role salary datapoint rows (base min/p25/median/p75/max, total comp, currency, sample count) + a one-line median summary.
get_review_intelcompany, max_reviews_sampled? (<=300)One aggregated review-intelligence record: rating histogram, rating trend by year, top pros/cons/advice keyword themes, anonymized excerpts.
get_interview_intelcompanyInterview difficulty score/label, candidate experience split, offer rate, interview count, common questions.
compare_companiescompanies (list, 2-5)Slim company records sorted by overall rating, with a one-line comparison summary.

Run modes

  • list_tools - emit the tool catalog (free, no charge) including the agentic-payment descriptor.
  • call_tool - invoke one tool. Requires tool + args.
  • batch - invoke up to 10 {tool, args} calls in one run.
{
"mode": "call_tool",
"tool": "get_salary_benchmarks",
"args": { "company": "Stripe", "role_filter": ["software engineer"], "max_datapoints": 25 }
}

How agents call it

This is a standard Apify actor-as-tool MCP server. Point your MCP host (Claude, OpenAI Responses, LangChain, LlamaIndex) at the Apify MCP endpoint and it will discover the five tools from the list_tools catalog, then call them with call_tool.

This server is also x402 (USDC on Base) and Skyfire ready. When the operator enables Apify MCP monetization, an AI agent can pay per tool call with no pre-provisioned API token. The list_tools response includes a payments descriptor advertising the accepted rails and per-call price. Operators enable rails via environment variables:

EnvPurpose
X402_ENABLED1 to advertise x402 acceptance
X402_PAY_TO_ADDRESSreceiving wallet (USDC on Base)
X402_PRICE_USDper-call price advertised (default 0.005)
SKYFIRE_ENABLED1 to advertise Skyfire acceptance
SKYFIRE_SELLER_IDSkyfire seller identity

Calls through Apify always bill via standard PPE (mcp_tool_call $0.005 + upstream pass-through); x402/Skyfire are the token-less rails layered on top for direct agents.

Pricing

Flat $0.005 per MCP tool call, plus the upstream glassdoor-salary-intel PPE pass-through billed to the same run (company_record $0.010, salary_datapoint $0.004, review_enrichment $0.008, interview_intel $0.010). A run that returns nothing costs nothing on the upstream side.

Responsible use / data scope

The upstream actor reads only logged-out, public Glassdoor pages (Overview / Salary / Reviews / Interview) - no accounts, no cookies, no ToS acceptance, no login walls. PII is minimized hard: the tools surface salary aggregates, rating sub-scores, and keyword-frequency review themes (plus optional name-stripped short excerpts), never named reviewers, usernames, or full individual review bodies. You are responsible for lawful use of the outputs. See the upstream actor's README for the full data-scope note.

Support

Issues or coverage gaps: open an issue on the actor page, or leave a quick review: https://apify.com/seibs.co/mcp-glassdoor-salary-intel#reviews