Peeper MCP Server
The Peeper MCP server is a model control panel service for the Peeper application, providing a unified API interface to interact with multiple language models and supporting model discovery and text completion functions.
rating : 2 points
downloads : 6.4K
What is Peeper MCP Server?
Peeper MCP Server is a middleware service that provides standardized interfaces for applications to access various AI language models. It hides the API differences of different model providers, allowing developers to focus on application development.How to use Peeper MCP Server?
You can access AI capabilities through simple REST APIs without dealing with complex model API integrations. Just send a standard request format, and the server will handle the interaction with the specific model.Applicable Scenarios
Suitable for applications that need to integrate multiple AI models or projects that want to avoid direct dependence on specific model APIs. Particularly suitable for scenarios where flexible switching of model providers is required.Main Features
Model Discovery
Provide a unified interface to query all available AI models and their capabilities
Unified API
Standardize the interface differences of different model providers and provide a consistent calling method
Easy to Extend
Support the rapid addition of new model providers and model versions
Advantages
Simplify the AI model integration process
Reduce dependence on specific model providers
Unified error handling and logging
Support hot switching between different models
Limitations
The performance may be slightly lower than directly calling the model API
Do not support the special features of all models
Need to maintain your own API keys
How to Use
Installation and Configuration
Clone the repository and install dependencies, then configure the environment variable file
Add API Keys
Add the API keys you obtained from each model provider to the .env file
Start the Service
Start the server in development mode or production mode
Usage Examples
Get Available Models
Query all AI models currently supported by the server
Generate Text Response
Use the specified model to generate a response to the prompt
Frequently Asked Questions
Do you need to prepare your own API keys?
Which model providers are supported?
How to add support for new models?
Related Resources
GitHub Repository
Project source code and issue tracking
OpenAI Documentation
Official documentation for the OpenAI API
REST API Design Guide
Best practices for REST API design

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