---
title: "LLMind for developers: CLI, MCP, and signed XMP | LLMind"
description: "Python CLI, MCP integration recipes, custom XMP namespaces, and signed semantic metadata. LLMind for developers — four archetypes, one engine."
url: https://llmind.org/for/developers/
source_format: html
---
# LLMind for developers

CLI, MCP recipes, and signed XMP metadata.

LLMind is primarily a developer tool. It's a Python CLI that writes structured, signed semantic metadata into any file's XMP packet. Four dev archetypes lean on different parts of it; this hub sorts them out. Whether you're building agents, shipping datasets, working on content authenticity, or integrating DAMs, there's a guide for your workflow.

-   ## [Agent / MCP builders](https://llmind.org/for/developers/agent-builders/)
    
    You're building a Claude, Cursor, or Windsurf agent. Skip the vector DB; LLMind-enriched files give agents rich context through a filesystem MCP.
    
-   ## [Dataset engineers](https://llmind.org/for/developers/dataset-engineers/)
    
    Provenance, lineage, and preprocessing cached inside every file. Ship datasets where each file carries its own signed history.
    

## Quick links

Start with the core tools and documentation. The [AI agents + file access](https://llmind.org/use-cases/ai-agents-file-access/) use case walks through agent-with-MCP patterns. [Dataset provenance](https://llmind.org/use-cases/dataset-provenance/) covers signing lineage into training data. [DAM semantic layer](https://llmind.org/use-cases/dam-semantic-layer/) shows how portable metadata travels with assets. And [our comparison hub](https://llmind.org/compare/) positions LLMind against adjacent tools.

## Explore more

-   [Product](https://llmind.org/product/)
-   [Learn](https://llmind.org/learn/)
-   [MCP server](https://llmind.org/mcp/)
-   [Docs](https://llmind.org/docs/)