mcp_llm_inferencer

What is mcp_llm_inferencer?

The mcp_llm_inferencer is an open-source library designed to leverage the power of Large Language Models (LLMs) such as Claude and OpenAI's GPT to convert prompt-mapped inputs into concrete components for MCP servers, including tools, resource templates, and prompt handlers.

How to use mcp_llm_inferencer?

To use mcp_llm_inferencer, clone the repository, install the package, and set up your API keys for Claude or OpenAI. You can then initialize the inferencer and generate components based on your prompts.

Key features of mcp_llm_inferencer?

• Efficient LLM call engine with retry and fallback logic.
• Interchangeable support for Claude and OpenAI APIs.
• Streaming support for real-time feedback from Claude Desktop.
• Validation of generated tools and resources.
• Structured output bundling for easier integration.

Use cases of mcp_llm_inferencer?

1. Generating tools for data extraction from text.
2. Creating resource templates for cloud services.
3. Developing prompt handlers for various applications.

FAQ from mcp_llm_inferencer?

• Can I use both Claude and OpenAI with this library?

Yes! You can seamlessly switch between Claude and OpenAI APIs based on your needs.

• Is there a specific Python version required?

Yes, Python 3.6 or higher is required to run this library.

• Is mcp_llm_inferencer free to use?

Yes! It is an open-source library and free for everyone.