Peeper MCP Server

by maskedsaqib

AI/Infrastructure API Language Models Text Completion

The Peeper MCP Server provides a unified API to interact with various language models. It serves as a Model Control Panel (MCP) for the Peeper application.

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What is Peeper MCP Server?

The Peeper MCP Server is a Model Control Panel server designed to provide a unified API for interacting with different AI language models. It allows users to easily access and utilize various models through a single interface.

How to use Peeper MCP Server?

To use the server, first clone the repository, install the dependencies using npm install, create a .env file and add your API keys, and then start the server using npm start or npm run dev for development with auto-restart. You can then use the API endpoints /api/models to get a list of available models and /api/completion to generate text completion.

Key features of Peeper MCP Server

Unified API for different AI model providers
Model discovery endpoint
Text completion endpoint
Easy to extend for additional models

Use cases of Peeper MCP Server

Integrating multiple AI models into a single application
Providing a consistent interface for different AI providers
Simplifying the process of using AI models
Experimenting with different models to find the best fit for a task

FAQ from Peeper MCP Server

What is the purpose of this server?

This server provides a unified API to interact with various language models, simplifying their integration into applications.

How do I add my API keys?

Create a .env file based on the .env.example and add your API keys there.

What models are supported?

The server is designed to be extensible. The supported models depend on the configuration and the API keys provided.

How do I contribute to this project?

Contributions are welcome! Please feel free to submit a Pull Request.

What license is this project under?

This project is licensed under the MIT License.