Mcp Client Llm

Mcp Client Llm

By shaoyingchen GitHub

Supports large models that access any API type, and provides an example of opening a local application

Overview

what is Mcp Client Llm?

Mcp Client Llm is a tool that supports large models to access any API type and provides an example of how to open a local application.

how to use Mcp Client Llm?

To use Mcp Client Llm, follow these steps:

  1. Install the necessary libraries using 'uv sync'.
  2. Modify the .env file with your OpenAI API key, endpoint, and model.
  3. Update the servers_config.json file with your server configuration.

key features of Mcp Client Llm?

  • Supports large models for API access.
  • Provides a simple example for creating local applications.
  • Easy configuration through .env and JSON files.

use cases of Mcp Client Llm?

  1. Building applications that require API access to large language models.
  2. Creating local applications that can interact with various APIs.
  3. Experimenting with OpenAI's API in a local environment.

FAQ from Mcp Client Llm?

  • What programming language is Mcp Client Llm written in?

Mcp Client Llm is written in Python.

  • Is there a license for Mcp Client Llm?

The project does not specify a license.

  • How can I contribute to Mcp Client Llm?

You can contribute by submitting issues or pull requests on the GitHub repository.

Overview

what is Mcp Client Llm?

Mcp Client Llm is a tool that supports large models to access any API type and provides an example of how to open a local application.

how to use Mcp Client Llm?

To use Mcp Client Llm, follow these steps:

  1. Install the necessary libraries using 'uv sync'.
  2. Modify the .env file with your OpenAI API key, endpoint, and model.
  3. Update the servers_config.json file with your server configuration.

key features of Mcp Client Llm?

  • Supports large models for API access.
  • Provides a simple example for creating local applications.
  • Easy configuration through .env and JSON files.

use cases of Mcp Client Llm?

  1. Building applications that require API access to large language models.
  2. Creating local applications that can interact with various APIs.
  3. Experimenting with OpenAI's API in a local environment.

FAQ from Mcp Client Llm?

  • What programming language is Mcp Client Llm written in?

Mcp Client Llm is written in Python.

  • Is there a license for Mcp Client Llm?

The project does not specify a license.

  • How can I contribute to Mcp Client Llm?

You can contribute by submitting issues or pull requests on the GitHub repository.

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