oriole
AI & Memory
Local
This MCP server exposes 16 bilingual tools for operating a review-gated China job-source intelligence engine, enabling discovery, probing, human approval, collection, and job/region queries. It lets an LLM manage the Oriole job pipeline over stdio without requiring model access to credentials.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/fp96yr0w3a for deploy options, or install from https://github.com/gaofeibilly-maker/oriole-job-engine (see README for MCP config).
2
GitHub
Install from https://github.com/gaofeibilly-maker/oriole-job-engine 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.