Patronus MCP Server
What is Patronus MCP Server?
what is Patronus MCP Server? Patronus MCP Server is an implementation of an MCP server for the Patronus SDK, designed to provide a standardized interface for running powerful LLM system optimizations, evaluations, and experiments. how to use Patronus MCP Server? To use the Patronus MCP Server, clone the repository, set up a virtual environment, install dependencies, and run the server with your API key either as a command line argument or an environment variable. key features of Patronus MCP Server? Initialize Patronus with API key and project settings Run single evaluations with configurable evaluators Run batch evaluations with multiple evaluators Conduct experiments with datasets use cases of Patronus MCP Server? Evaluating the performance of language models Running experiments to optimize LLM outputs Testing various evaluators for different tasks FAQ from Patronus MCP Server? What programming language is used for Patronus MCP Server? The server is implemented in Python. Is there a license for using Patronus MCP Server? Yes, it is licensed under the Apache License 2.0. How can I contribute to the project? You can fork the repository, create a feature branch, and submit a pull request.
As an MCP (Model Context Protocol) server, Patronus MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Patronus MCP Server
To use the Patronus MCP Server, clone the repository, set up a virtual environment, install dependencies, and run the server with your API key either as a command line argument or an environment variable. key features of Patronus MCP Server? Initialize Patronus with API key and project settings Run single evaluations with configurable evaluators Run batch evaluations with multiple evaluators Conduct experiments with datasets use cases of Patronus MCP Server? Evaluating the performance of language models Running experiments to optimize LLM outputs Testing various evaluators for different tasks FAQ from Patronus MCP Server? What programming language is used for Patronus MCP Server? The server is implemented in Python. Is there a license for using Patronus MCP Server? Yes, it is licensed under the Apache License 2.0. How can I contribute to the project? You can fork the repository, create a feature branch, and submit a pull request.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Patronus MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Patronus MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.