aiamblichus
MCP Serveraiamblichuspublic

mcp openai complete

MCP server for OpenAI text completion

Repository Info

0
Stars
1
Forks
0
Watchers
0
Issues
JavaScript
Language
MIT License
License

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 complete
  • max_tokens (integer, optional): Maximum tokens to generate, default: 150
  • temperature (number, optional): Controls randomness (0-1), default: 0.7
  • top_p (number, optional): Controls diversity via nucleus sampling, default: 1.0
  • frequency_penalty (number, optional): Decreases repetition of token sequences, default: 0.0
  • presence_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

1

Clone the repository

git clone https://github.com/aiamblichus/mcp-openai-complete
2

Install dependencies

cd mcp-openai-complete
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Owneraiamblichus
Repomcp-openai-complete
LanguageJavaScript
LicenseMIT License
Last fetched8/10/2025

Recommended MCP Servers

💬

Discord MCP

Enable AI assistants to seamlessly interact with Discord servers, channels, and messages.

integrationsdiscordchat
🔗

Knit MCP

Connect AI agents to 200+ SaaS applications and automate workflows.

integrationsautomationsaas
🕷️

Apify MCP Server

Deploy and interact with Apify actors for web scraping and data extraction.

apifycrawlerdata
🌐

BrowserStack MCP

BrowserStack MCP Server for automated testing across multiple browsers.

testingqabrowsers

Zapier MCP

A Zapier server that provides automation capabilities for various apps.

zapierautomation