Poe o3 MCP Server
@Anansitrading
关于 Poe o3 MCP Server
A lightweight MCP server implementation for accessing OpenAI's o3 model via Poe API
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"po3_MCP": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Poe o3 MCP Server?
A lightweight Model Context Protocol (MCP) server that provides access to OpenAI's o3 model and other models via Poe's API. It is designed for developers who want to integrate Poe's AI capabilities into any MCP‑compatible application.
How to use Poe o3 MCP Server?
Install prerequisites (Python 3.8+ and a Poe API key), clone the repository, create a virtual environment, install dependencies, set the POE_API_KEY in a .env file, then run python poe_o3_mcp_server.py. The server listens on standard input/output and exposes two tools: o3_query (sends queries to Poe models, defaulting to “o3”) and ping (returns “pong”). Model selection is done by adding a command‑line‑style flag to the prompt (e.g., --Claude-3.5-Sonnet).
Key features of Poe o3 MCP Server
- Simple MCP server implementation using FastMCP
- Direct integration with Poe’s API for o3 and other models
- Model selection via command‑line style flags in prompts
- Asynchronous request handling for efficient processing
- Comprehensive error handling and logging
- Easy setup and configuration
Use cases of Poe o3 MCP Server
- Integrate Poe’s AI models into any MCP‑compatible client application
- Send queries to the default o3 model or switch to another Poe model via flags
- Test server connectivity with the built‑in
pingtool - Build custom automation or chatbot systems that use Poe’s API
FAQ from Poe o3 MCP Server
What are the prerequisites?
Python 3.8+ and a Poe API key, obtainable from https://poe.com/api_key.
How do I select a different model?
Add a flag like --Claude-3.5-Sonnet anywhere in the prompt (beginning, middle, or end). The flag is automatically removed before sending the message. If no flag is given, the server defaults to the “o3” model.
What tools does the server expose?
The server provides two tools: o3_query (accepts a message parameter) and ping (no parameters, returns “pong”).
How is the server run?
After installation, execute python poe_o3_mcp_server.py from the project directory. The server reads MCP messages from standard input and writes responses to standard output.
Where does my data go and what authentication is used?
Queries are sent to Poe’s API using the API key set in the POE_API_KEY environment variable. No local data storage is described. The server communicates via stdin/stdout (stdio transport).
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