
mcp openai complete
MCP server for OpenAI text completion
Repository Info
About This Server
MCP server for OpenAI text completion
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
OpenAI Complete MCP Server
An MCP (Model Context Protocol) server that provides a clean interface for LLMs to use text completion capabilities through the MCP protocol. This server acts as a bridge between an LLM client and any OpenAI's compatible API. The primary use case is for base models, as the server does not provide support for chat completions.
Features
- Provides a single tool named "complete" for generating text completions
- Properly handles asynchronous processing to avoid blocking
- Implements timeout handling with graceful fallbacks
- Supports cancellation of ongoing requests
Installation
# Clone the repository
git clone <repository-url>
cd mcp-openai-complete
# Install dependencies
pnpm install
# Build the project
pnpm run build
Configuration
The following environment variables are required:
OPENAI_API_KEY=your-hyperbolic-api-key
OPENAI_API_BASE=https://api.hyperbolic.xyz/v1
OPENAI_MODEL=meta-llama/Meta-Llama-3.1-405B
Usage
Start the server:
pnpm start
This will start the server on stdio, making it available for MCP clients to communicate with.
Docker Usage
Building the Docker Image
docker build -t mcp-openai-complete .
Running the Container
# Run with environment variables
docker run -it --rm \
-e OPENAI_API_KEY="your-api-key" \
-e OPENAI_MODEL="gpt-3.5-turbo-instruct" \
mcp-openai-complete
You can also use a .env file:
# Run with .env file
docker run -it --rm \
--env-file .env \
mcp-openai-complete
Parameters for the "complete" tool
prompt(string, required): The text prompt to completemax_tokens(integer, optional): Maximum tokens to generate, default: 150temperature(number, optional): Controls randomness (0-1), default: 0.7top_p(number, optional): Controls diversity via nucleus sampling, default: 1.0frequency_penalty(number, optional): Decreases repetition of token sequences, default: 0.0presence_penalty(number, optional): Increases likelihood of talking about new topics, default: 0.0
Development
For development with auto-reloading:
npm run dev
License
MIT
Quick Start
Clone the repository
git clone https://github.com/aiamblichus/mcp-openai-completeInstall dependencies
cd mcp-openai-complete
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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