OpenAI Complete MCP Server
About
The OpenAI Complete MCP Server is an MCP server that provides a clean interface for LLMs to use text completion capabilities through the MCP protocol. It acts as a bridge between an LLM client and any OpenAI-compatible API. The primary use case is for base models, as it does not…
Details
- Author
- aiamblichus
- Downloads
- 338
- Categories
- AI
Jump to
- Provides a single "complete" tool for text completions.
- Handles asynchronous processing without blocking.
- Implements timeout handling with graceful fallbacks.
- Supports cancellation of ongoing requests.
- Works with any OpenAI-compatible API.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
OpenAI Complete MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install by cloning the repository, installing dependencies with pnpm install, building with pnpm run build, and starting with pnpm start. Alternatively, use Docker: build the image and run the container with environment variables. The server exposes a single "complete" tool with parameters such as prompt (required), max\_tokens, temperature, top\_p, frequency\_penalty, and presence\_penalty.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"openai complete mcp server": {
"mcp-openai-complete": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-openai-complete",
"."
]
}
}
}
}
McpServers
{
"mcp-openai-complete": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-openai-complete",
"."
]
}
}
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
```bash
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