LLMs FAQs

Question 1

What is LLMs (llms-mcp)?

Accepted Answer

LLMs (llms-mcp) is an MCP (Model Context Protocol) server designed to expose your project's `llms.txt` file as a resource for AI context enhancement. It helps AI models, such as large language models, understand your project's specifics better.

Question 2

How does llms-mcp enhance AI understanding of my project?

Accepted Answer

It automatically detects and parses your `llms.txt` file, exposing referenced local files (like code or documentation) and external URLs as additional MCP resources. This feeds direct, relevant context to AI clients, improving their performance and accuracy.

Question 3

What is the `llms.txt` standard?

Accepted Answer

`llms.txt` is a proposed standard (`llmstxt.org`) for defining project-specific context (e.g., key files, documentation links, external resources) that can be consumed by AI models to enhance their understanding of a codebase or project, providing crucial context for AI assistants.

Question 4

Which AI clients are compatible with llms-mcp?

Accepted Answer

llms-mcp is compatible with any MCP-enabled AI client. This includes popular tools like Claude Desktop, Cline, Roo, and Kilocode, which can be configured to consume the context resources provided by this server for smarter interactions.

Question 5

How do I set up and use llms-mcp for my project?

Accepted Answer

After installing Node.js (v18+) and the llms-mcp server via npm, you can start it with `npm start`. You can specify your project path via the `ProjectPath` environment variable. Finally, configure your MCP-compatible AI client (e.g., Claude Desktop) to connect to your running llms-mcp server, allowing it to access your project's context.

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