About llm-model-providers MCP Server
llm-model-providers MCP Server retrieves available models from LLM providers for users who need model listings through an MCP client. The README does not specify which providers are supported or describe further capabilities.
Key features
- 01Fetch available model lists
Use cases
- 01Checking models available from LLM providers
MCP support
The MCP server is used to retrieve available models from LLM providers.
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 READMEllm-model-providers MCP Server
Get available models from each LLM provider
Development
Install dependencies:
pnpm install
Build the server:
pnpm run build
For development with auto-rebuild:
pnpm run watch
Installation
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"llm-model-providers": {
"command": "/path/to/llm-model-providers/build/index.js"
"env": {
"OPENAI_API_KEY": "",
"ANTHROPIC_API_KEY": ""
}
}
}
}
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
pnpm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
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.