
teamedup-intelligence-mcp
io.github.bp46/teamedup-intelligence-mcp
China & APAC salary benchmarks (319k+ jobs), statutory cost (五险一金), and employer intelligence.
Documentation
TeamedUp Intelligence MCP Server
China & APAC Salary Benchmarks, Employer Statutory Cost (五险一金), and Tech Talent Intelligence for AI Agents.
Official Model Context Protocol (MCP) server configuration, tool reference, OpenAPI 3.0.3 specification, and SDK examples for TeamedUp Intelligence — institutional-grade labor market and compensation intelligence across Mainland China, Greater China (HK, TW, MO), and International APAC (SG, AU, JP, KR, SEA).
- 319,000+ verified employer job postings across 12 GICS-aligned macro industries
- 200,000+ high-confidence (
N >= 20) market cohorts withP25,P50(Median),P75, andP90gross monthly base salary bands (CNY) - 72+ China & APAC metropolitan hubs (Shanghai, Beijing, Shenzhen, Hangzhou, Chengdu, Hong Kong, Taipei, Singapore, Tokyo, Sydney, and more)
- 500+ standardized bilingual job roles (English & Chinese normalized titles)
- Built-in China statutory cost & arbitrage calculators (五险一金 / Wuxian Yijin floors & ceilings across 20+ Chinese cities)
- Commercial use permitted on all tiers (including the free 25-credit Developer tier)
Quickstart (60 Seconds)
1. Get a Free API Key
Create a developer account at intelligence.teamedupchina.com/register and generate a Bearer token (Authorization: Bearer YOUR_API_KEY).
Zero-Credit Discovery: MCP handshakes (
initialize,ping,tools/list) and REST discovery endpoints (/api/v1/health,/api/v1/stats,/api/v1/taxonomies/*) cost 0 credits. Paid tool calls and REST data queries cost 1 credit per request.
2. Connect Your AI Client
MCP Endpoint: https://intelligence.teamedupchina.com/api/v1/mcp (JSON-RPC 2.0 / Streamable HTTP)
Claude Desktop (claude_desktop_config.json) / Cursor (.cursor/mcp.json) / Antigravity (mcp.json)
{
"mcpServers": {
"teamedup-intelligence": {
"url": "https://intelligence.teamedupchina.com/api/v1/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY",
"Accept": "application/json"
}
}
}
}
OpenAI Codex / OpenCode / Stdio-Only Clients (mcp-remote)
{
"mcpServers": {
"teamedup-intelligence": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://intelligence.teamedupchina.com/api/v1/mcp",
"--header",
"Authorization: Bearer YOUR_API_KEY"
]
}
}
}
VS Code Copilot (.vscode/mcp.json)
{
"servers": {
"teamedup-intelligence": {
"type": "http",
"url": "https://intelligence.teamedupchina.com/api/v1/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Available MCP Tools (13 Tools)
Compensation & Benchmarking
| Tool | Purpose |
|---|---|
get_market_summary | Query P25, P50, P75, P90 monthly base salary bands by standardized role, city, seniority, industry, and region. |
get_salary_trend | Track month-over-month median (P50) salary inflation and compensation shifts for a role & city. |
get_skill_demand | Rank technical/domain skills by posting frequency and associated median salary premium. |
China Statutory Cost & Cross-City Arbitrage
| Tool | Purpose |
|---|---|
calculate_all_in_employer_cost | Compute total all-in employer headcount cost in China including mandatory 五险一金 (Pension, Medical, Housing Fund, Unemployment, Work Injury) with exact municipal floors & ceilings across 20+ cities. |
calculate_compensation_arbitrage | Model payroll savings and engineering runway expansion between Tier-1 hubs (Shanghai, Beijing, Shenzhen, Guangzhou) and New Tier-1 hubs (Chengdu, Wuhan, Xi'an, Hefei, Suzhou, Hangzhou). |
Employer & Hiring Intelligence
| Tool | Purpose |
|---|---|
search_companies | Search employers by English or Chinese name, industry, size tier, or macro industry. |
get_company_info | Retrieve firmographics (industry, size tier, ownership type, employer brand stats) for a Chinese employer. |
get_company_jobs | Fetch paginated historical job postings and salary bands for a specific company ID. |
get_dataset_trends | Inspect weekly hiring frequency / share-of-voice signals by company, role, and city. |
Discovery & Taxonomies (0-Credit REST Equivalents Available)
| Tool | Purpose |
|---|---|
list_roles | List all 500+ standardized job roles to ensure exact matching before querying benchmarks. |
list_cities | List verified China & APAC cities (filterable by mainland, greater, intl). |
list_taxonomies | List valid industries, seniority levels, education levels, and company size tiers. |
get_stats | Retrieve dataset-wide counts (postings, cohorts, companies, cities, available months). |
See docs/TOOLS.md for full JSON-RPC 2.0 request/response schemas.
Use Case Breakdowns & Agent Prompts
1. MNC Total Rewards & Compensation Benchmarking
- Scenario: A global HR or finance team needs verified market bands for hiring senior engineers in Shanghai vs. Singapore.
- Prompt to paste into Claude / Cursor / Antigravity:
"Use TeamedUp Intelligence to compare P25, P50, P75, and P90 monthly base salaries for
Software EngineeratSeniorseniority inShanghai,Shenzhen, andSingapore. Also check the 6-month salary trend in Shanghai." - Tools invoked:
get_market_summary,get_salary_trend
2. China Entity Budgeting & All-In Statutory Cost (五险一金)
- Scenario: A foreign company budgeting China headcount needs true employer cost (gross salary + mandatory municipal social insurance & housing fund contributions), not just base pay.
- Prompt:
"Calculate the all-in employer cost in CNY and USD for a
Product ManagerinShanghaivsChengduusing TeamedUp Intelligence's market median P50 salary and municipal 五险一金 caps." - Tools invoked:
calculate_all_in_employer_cost
3. Cross-City R&D Hub & Offshoring Arbitrage
- Scenario: Evaluating whether to expand an engineering team in Beijing/Shanghai or open a satellite hub in Chengdu, Wuhan, or Suzhou.
- Prompt:
"Run a compensation arbitrage analysis for 10
AI & Machine Learning Engineerhires comparingBeijingagainstChengduandHangzhou. Show annual cash savings and extra headcount runway." - Tools invoked:
calculate_compensation_arbitrage
4. Tech Stack & Skill Premium Analysis
- Scenario: Identifying which skills command the highest pay premium in China's AI or semiconductor sectors.
- Prompt:
"What are the top 10 highest-paying in-demand skills for
Algorithm Engineerroles inShenzhen?" - Tools invoked:
get_skill_demand
5. Competitive Talent & Employer Intelligence
- Scenario: Benchmarking a specific competitor's hiring footprint and salary ranges.
- Prompt:
"Search TeamedUp Intelligence for
ByteDance(or字节跳动), inspect its firmographic profile, and list its recent job postings and salary bands." - Tools invoked:
search_companies→get_company_info→get_company_jobs
Repository Contents
server.json— Standard MCP Registry server manifestsmithery.yaml— Smithery remote MCP configurationopenapi.json/openapi.yaml— OpenAPI 3.0.3 REST specificationdocs/TOOLS.md— Complete MCP tool reference & JSON-RPC 2.0 examplesdocs/COMPLIANCE.md— Public-data compliance & PIPL/PDPA/GDPR statementexamples/mcp_client.py— Python MCP JSON-RPC 2.0 quickstartexamples/mcp_client.ts— TypeScript MCP JSON-RPC 2.0 quickstartexamples/curl_example.sh— cURL REST quickstartexamples/python_example.py— Python REST quickstartexamples/typescript_example.ts— TypeScript REST quickstart
Methodology & Data Integrity
- Units: All salaries are normalized to Gross Monthly Base Salary in CNY (RMB). Annualized compensation benchmarks in China typically reflect
Monthly × 13–15(14 months benchmark standard). - Cross-Border APAC Normalization: Non-CNY APAC postings (HKD, TWD, SGD, AUD) are normalized using pinned FX reference rates and annual-to-monthly conversion rules so cross-market comparisons remain apples-to-apples.
- Statistical Rigor: Public cohorts enforce minimum sample thresholds (
N >= 20) and NBS-aligned outlier filtering. See Methodology & NBS Audit.
Links
- Platform & Explorer: https://intelligence.teamedupchina.com
- API Docs & Live Playground: https://intelligence.teamedupchina.com/docs
- MCP Guide: https://intelligence.teamedupchina.com/docs/mcp
- Pricing & Free Developer Tier: https://intelligence.teamedupchina.com/pricing
- Agent Manifests:
llms.txt·llms-full.txt·agent.json
No installation packages available.