salary-mcp-agent
AI & Memory
Local
MCP server exposing Taiwan's MOPS salary data (2019-2025) via four read-only tools, enabling LLMs to query company salaries, industry stats, and trends under strict constraints.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/l4xa8cykge for deploy options, or install from https://github.com/yschang1688/salary-mcp-agent (see README for MCP config).
2
GitHub
Install from https://github.com/yschang1688/salary-mcp-agent and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.