LLMling
About
An MCP server with an LLMling backend that uses YAML files to configure LLM applications.
Details
- Author
- phil65
- GitHub stars
- 5
- Downloads
- 156
- Categories
- Developer Tools, AI, Automation, Other
Jump to
- Static YAML declaration – no code required
- Resources: files, text, CLI output, images, Python callables
- Tools: register Python functions or OpenAPI specs
- Prompts: static templates or dynamic Python functions
- Multiple transports: stdio, SSE, Streamable HTTP
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
LLMlingCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install via uvx mcp-server-llmling@latest and start with a YAML config file using mcp-server-llmling start path/to/config.yml. Configure as a context server in Zed or Claude Desktop by specifying the command and arguments in their respective settings files. Programmatic usage is also supported via Python’s LLMLingServer class.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"llmling": {
"mcp-server-llmling": {
"command": "uvx",
"args": [
"mcp-server-llmling@latest"
]
}
}
}
}McpServers
{
"mcp-server-llmling": {
"command": "uvx",
"args": [
"mcp-server-llmling@latest"
]
}
}
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