Unichat
Summary
This Unichat MCP server, developed by amidabuddha, provides a unified interface for interacting with multiple AI language models including OpenAI, MistralAI, Anthropic, xAI, and Google AI. It exposes a single 'unichat' tool that takes messages as input and returns AI-generated responses, abstracting away the differences between various AI providers. Built in Python, the implementation offers predefined prompts for common tasks like code review, documentation generation, and code explanation. By bridging multiple AI services through a standardized MCP interface, this server enables flexible AI model selection and consistent interaction patterns across providers. It is particularly useful for developers and applications requiring AI-powered code assistance, natural language processing, or multi-model AI capabilities without vendor lock-in.
Available Actions(5)
unichat
Send a request to unichat. Takes 'messages' as required string arguments and returns a response.
code_review
Review code for best practices, potential issues, and improvements. Arguments: code (string, required): The code to review.
document_code
Generate documentation for code including docstrings and comments. Arguments: code (string, required): The code to comment.
explain_code
Explain how a piece of code works in detail. Arguments: code (string, required): The code to explain.
code_rework
Apply requested changes to the provided code. Arguments: changes (string, optional): The changes to apply; code (string, required): The code to rework.
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