An end-to-end example of building Model Context Protocol (MCP) clients and communicates between several MCP servers with OpenAI compatible APIs.
Shioaji-MCP is an MCP project maintained in the abnerteng/shioaji-mcp repository. The maintainer describes its purpose as “An end-to-end example of building Model Context Protocol (MCP) clients and communicates between several MCP servers with OpenAI compatible APIs”. Read the project documentation for the complete scope.
The project provides a local client configuration using uv_exec_command. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
{
"mcpServers": {
"weather": {
"args": [
"--directory",
"root_path",
"run",
"server_file.py"
],
"command": "uv_exec_command"
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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The following configuration is compatible with most LLM applications that support MCP such as [Claude