Glassdoor Salary & Reviews Intel - MCP Server
Pricing
$5.00 / 1,000 mcp tool calls
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
Maintained by CommunityActor stats
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1
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0
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
| Tool | Args | Returns |
|---|---|---|
get_company_overview | company | One slim company record: overall rating, every rating sub-score, recommend-to-friend %, CEO approval %, firmographics. |
get_salary_benchmarks | company, 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_intel | company, 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_intel | company | Interview difficulty score/label, candidate experience split, offer rate, interview count, common questions. |
compare_companies | companies (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. Requirestool+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:
| Env | Purpose |
|---|---|
X402_ENABLED | 1 to advertise x402 acceptance |
X402_PAY_TO_ADDRESS | receiving wallet (USDC on Base) |
X402_PRICE_USD | per-call price advertised (default 0.005) |
SKYFIRE_ENABLED | 1 to advertise Skyfire acceptance |
SKYFIRE_SELLER_ID | Skyfire 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.
Related Actors
- glassdoor-salary-intel - the non-MCP actor with full input controls, monitor mode, and CSV/HTML artifacts.
- mcp-hiring-signal-intel - MCP twin for live job-postings and hiring-surge intel.
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