About Mcp Client Llm.git
Mcp Client Llm.git is a simple OpenAI API example for configuring model access to APIs and opening a local application. Its README describes dependency setup and server configuration.
Key features
- 01OpenAI API-based model access
- 02Configurable API servers
- 03Local application example
Use cases
- 01Trying an OpenAI API setup
- 02Configuring API server entries
MCP support
The README refers to configuring an MCP client with server settings, but does not specify what MCP tools or resources are exposed.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMESupports large models that access any API type, and provides an example of opening a local application This is a simple example of how to use the OpenAI API to create a local application that can access any API type.
#Steps:
- Install the necessary libraries: uv sync
- modify .env file with your openai api key、point、model
- modify servers_config.json with your server config
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.