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Peeper MCP Server

Peeper MCP Server

Local
github.com/maskedsaqibAI & Agents0Updated 84w ago
Repository

About Peeper MCP Server

Peeper MCP Server provides Peeper with a unified API for discovering and requesting text completions from language models. It is intended for the Peeper application and can be extended to support additional models.

Key features

  1. 01Unified API for model providers
  2. 02Discover available models
  3. 03Generate text completions
  4. 04Extend support for additional models

Use cases

  1. 01List models available to Peeper
  2. 02Request a completion from a selected model
  3. 03Add support for additional models

MCP support

The server provides model discovery and text completion endpoints for Peeper. The README describes an MCP server but does not specify MCP tools or protocol transport details.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Peeper MCP Server

A Model Control Panel (MCP) server for the Peeper application. This server provides a unified API to interact with various language models.

Features

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

Setup

  1. Clone this repository

    git clone https://github.com/maskedsaqib/peeper-mcp-server.git
cd peeper-mcp-server

  2. Install dependencies

    npm install

  3. Create a .env file based on the example

    cp .env.example .env

  4. Add your API keys to the .env file

  5. Start the server

    npm start

    For development with auto-restart:

    npm run dev

API Endpoints

GET /api/models

Returns a list of available models.

POST /api/completion

Generates text completion for the given prompt using the specified model.

Request body:

{
  "modelId": "gpt-4",
  "prompt": "Your prompt here"
}

Contributing

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

License

This project is licensed under the MIT License.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.