Which LLM providers does Just Prompt support?
Just Prompt supports OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama.
@disler
Basic information
just-prompt is an MCP server that provides a unified interface to top LLM providers (OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama)
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"just-prompt": {
"command": "uv",
"args": [
"sync"
]
}
}
}Send a prompt to multiple LLM models
Send a prompt from a file to multiple LLM models
Send a prompt from a file to multiple LLM models and save responses as markdown files
Send a prompt to multiple 'board member' models and have a 'CEO' model make a decision based on their responses
List all available LLM providers
List all available models for a specific LLM provider
Just Prompt is a Model Control Protocol (MCP) server that provides a unified interface to various Large Language Model (LLM) providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama. It is designed for developers and AI practitioners who need to query multiple models from different providers through a single API.
Install by cloning the repository and running uv sync. Configure API keys in a .env file, then start the server with uv run just-prompt (optionally with --default-models). Use MCP tools such as prompt, prompt_from_file, prompt_from_file_to_file, ceo_and_board, list_providers, and list_models to send prompts, manage files, or list available options.
Just Prompt supports OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama.
Create a `.env` file with your API keys for the providers you wish to use, following the `.env.sample` template provided in the repository.
Append `:low`, `:medium`, or `:high` to the model name (e.g., `openai:o4-mini:high`) to set the reasoning effort level.
Append a thinking budget suffix like `:1k` or `:4k` to the model name (e.g., `anthropic:claude-opus-4-20250514:4k`). Valid budgets range from 1024 to 16000 tokens.
Append a budget suffix like `:1k` to the model name (e.g., `gemini:gemini-2.5-flash-preview-04-17:4k`). Valid budgets range from 0 to 24576.
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