TeamedUp Intelligence — China & APAC Salary Data

Connect Remote server

claude mcp add --transport http teamedup-intelligence-mcp https://intelligence.teamedupchina.com/api/v1/mcp --header "Authorization: Bearer <YOUR_API_KEY>"

{
  "mcpServers": {
    "teamedup-intelligence-mcp": {
      "url": "https://intelligence.teamedupchina.com/api/v1/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}

{
  "servers": {
    "teamedup-intelligence-mcp": {
      "type": "http",
      "url": "https://intelligence.teamedupchina.com/api/v1/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}

Settings > Connectors > Add custom connector
URL: https://intelligence.teamedupchina.com/api/v1/mcp

Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.

Tools 13 found in our last check

• get_market_summary

  Query aggregated market salary percentiles for a given role, city, seniority, and industry. Returns p25, p50, p75, p90 salary bands with data point counts and confidence levels. Use this to benchmark compensation for specific roles in Chinese and APAC tech labor markets.

• get_company_info

  Retrieve detailed firmographic data on a specific Chinese employer. Includes industry, size tier, ownership type, macro category, and employer brand stats. Use for competitive analysis and compensation benchmarking by employer.

• get_salary_trend

  Retrieve historical salary trend data for a role/city combination over time. Shows how p50 salaries have changed month over month. Use for salary inflation analysis and time-series compensation modeling.

• get_skill_demand

  Get skills ranked by demand frequency in job postings, with associated median salary. Filterable by role, city, region, and skill category. Use for skills gap analysis and tech stack compensation premiums.

• get_dataset_trends

  Retrieve weekly hiring frequency scores per company/role/city. Shows share-of-voice signals indicating which companies are most actively hiring for which roles. NOT absolute market hiring volume — scores represent frequency within our ingested dataset.

• search_companies

  Search for companies by name (English or Chinese), industry, size tier, or macro industry. Returns firmographic profiles for matching employers. Use for employer discovery and competitive intelligence.

• get_stats

  Get high-level dataset statistics including total companies, salary datapoints, market summaries, distinct roles and cities, and available calculated months. Accepts an optional "region" argument ("mainland", "greater", "intl").

• list_roles

  List all standardized job roles available in the dataset. Use this before querying market summaries to ensure accurate role taxonomy matching.

• list_cities

  List all genuine metropolitan and prefecture cities available in the dataset. Accepts an optional "region" argument ("mainland", "greater", "intl"). Use before querying market data to ensure accurate city name matching.

• list_taxonomies

  List all taxonomies (industries, seniority levels, education levels, company sizes) available in the dataset. Use this to ensure accurate filtering taxonomy matching.

• get_company_jobs

  Retrieve paginated historical job postings and salary bands for a specific company by its ID.

• calculate_all_in_employer_cost

  Calculate total all-in employer headcount cost in China including mandatory statutory social security (五险一金 - Wuxian Yijin: Pension 16%, Medical 6-10%, Housing Fund 5-12%, Unemployment 0.5%, Work Injury 0.2%) with exact municipal floors (60% avg wage) and ceilings (300% avg wage…

• calculate_compensation_arbitrage

  Calculate cross-city compensation arbitrage, payroll savings, and engineering runway expansion between Chinese Tier-1 hubs (Shanghai, Beijing, Shenzhen, Guangzhou) and New Tier-1 expansion hubs (Chengdu, Wuhan, Xi'an, Hefei, Suzhou, Hangzhou, etc.). Computes all-in statutory ove…

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