About LaborIQ Salary Data
LaborIQ Salary Data provides US salary and labor-market data to AI assistants via MCP. It returns median pay by job title and location, with forecasts available through Pro keys.
Key features
- 01Look up median pay by job and US location
- 02Access salary forecasts with Pro keys
Use cases
- 01Check median pay for a role in a US city
- 02Retrieve Pro-tier salary forecasts
MCP support
The MCP server exposes `get_salary_data`, which accepts a job title and US city or state. It uses Streamable HTTP and API-key authentication.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.laboriq.co/mcpclaude mcp add --transport http co-laboriq https://mcp.laboriq.co/mcp{"mcpServers":{"co-laboriq":{"type":"http","url":"https://mcp.laboriq.co/mcp"}}}Open in Cursor{"servers":{"co-laboriq":{"type":"http","url":"https://mcp.laboriq.co/mcp"}}}Open in VS Code{"mcpServers":{"co-laboriq":{"type":"http","url":"https://mcp.laboriq.co/mcp"}}}{"mcpServers":{"co-laboriq":{"serverUrl":"https://mcp.laboriq.co/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://mcp.laboriq.co/mcpAuth requiredTools
Details
From the project READMELaborIQ MCP Server
LaborIQ salary and labor-market data for AI assistants, via the Model Context Protocol.
Registry name: co.laboriq/mcp-server
This is a documentation-only repository. The server is hosted by LaborIQ; no server code lives here.
Tool
get_salary_data: give it a job title and a US city/state, and it returns the median salary. Pro-tier keys return richer data, including salary forecasts.
Connection
| Server URL | https://mcp.laboriq.co/mcp |
| Transport | Streamable HTTP |
| Auth header | x-api-key: <your-key> |
Get an API key
- Free: request one by email at https://laboriq.co/mcp
- Pro: issued from the LaborIQ portal
Setup
Add this to your MCP client config (Claude Desktop, Cursor, etc.), replacing <your-key>:
{
"mcpServers": {
"laboriq": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://mcp.laboriq.co/mcp",
"--header",
"x-api-key:<your-key>"
]
}
}
}
Clients that support remote Streamable HTTP servers directly can instead connect to https://mcp.laboriq.co/mcp with the x-api-key header.
Links
- Full setup guide: https://laboriq.co/mcp
- MCP Terms of Use: https://laboriq.co/mcp-terms
- Privacy Policy: https://laboriq.co/privacy-policy
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.