iflow-mcp_llm-context 0.5.2

Share code with LLMs via Model Context Protocol or clipboard. Rule-based customization enables easy switching between different tasks (like code review and documentation). Code outlining support is included as a standard feature.

LLM Context

Reduce friction when providing context to LLMs. Share relevant project files instantly through smart selection and rule-based filtering.

The Problem

Getting project context into LLM chats is tedious:

• Manually copying/pasting files takes forever
• Hard to identify which files are relevant
• Including too much hits context limits, too little misses important details
• AI requests for additional files require manual fetching
• Repeating this process for every conversation

The Solution

lc-select # Smart file selection
lc-context # Instant formatted context
# Paste and work - AI can access additional files seamlessly

Result: From "I need to share my project" to productive AI collaboration in seconds.

Note: This project was developed in collaboration with several Claude Sonnets (3.5, 3.6, 3.7 and 4.0), as well as Groks (3 and 4), using LLM Context itself to share code during development. All code in the repository is heavily human-curated (by me 😇, @restlessronin).

Installation

uv tool install "llm-context>=0.5.0"

Quick Start

Basic Usage

# One-time setup
cd your-project
lc-init
# Daily usage
lc-select
lc-context

MCP Integration (Recommended)

{
  "mcpServers": {
    "llm-context": {
      "command": "uvx",
      "args": ["--from", "llm-context", "lc-mcp"]
    }
  }
}

With MCP, AI can access additional files directly during conversations.

Project Customization

# Create project-specific filters
cat > .llm-context/rules/flt-repo-base.md << 'EOF'
---
compose:
  filters: [lc/flt-base]
gitignores:
  full-files: ["*.md", "/tests", "/node_modules"]
---
EOF
# Customize main development rule
cat > .llm-context/rules/prm-code.md << 'EOF'
---
instructions: [lc/ins-developer, lc/sty-python]
compose:
  filters: [flt-repo-base]
  excerpters: [lc/exc-base]
---
Additional project-specific guidelines and context.
EOF

Core Commands

Command	Purpose
lc-init	Initialize project configuration
lc-select	Select files based on current rule
lc-context	Generate and copy context
lc-context -nt	Generate context for non-MCP environments
lc-set-rule <name>	Switch between rules
lc-missing	Handle file and context requests (non-MCP)

Rule System

Rules use a systematic five-category structure:

• Prompt Rules (prm-): Generate project contexts (e.g., lc/prm-developer, lc/prm-rule-create)
• Filter Rules (flt-): Control file inclusion (e.g., lc/flt-base, lc/flt-no-files)
• Instruction Rules (ins-): Provide guidelines (e.g., lc/ins-developer, lc/ins-rule-framework)
• Style Rules (sty-): Enforce coding standards (e.g., lc/sty-python, lc/sty-code)
• Excerpt Rules (exc-): Configure extractions for context reduction (e.g., lc/exc-base)

Example Rule

---
description: "Debug API authentication issues"
compose:
  filters: [lc/flt-no-files]
  excerpters: [lc/exc-base]
also-include:
  full-files: ["/src/auth/**", "/tests/auth/**"]
---
Focus on authentication system and related tests.

Workflow Patterns

Daily Development

lc-set-rule lc/prm-developer
lc-select
lc-context
# AI can review changes, access additional files as needed

Focused Tasks

# Let AI help create minimal context
lc-set-rule lc/prm-rule-create
lc-context -nt
# Work with AI to create task-specific rule using tmp-prm- prefix

MCP Benefits

• Code review: AI examines your changes for completeness/correctness
• Additional files: AI accesses initially excluded files when needed
• Change tracking: See what's been modified during conversations
• Zero friction: No manual file operations during development discussions

Key Features

• Smart File Selection: Rules automatically include/exclude appropriate files
• Instant Context Generation: Formatted context copied to clipboard in seconds
• MCP Integration: AI can access additional files without manual intervention
• Systematic Rule Organization: Five-category system for clear rule composition
• AI-Assisted Rule Creation: Let AI help create minimal context for specific tasks
• Code Excerpting: Extractions of significant content to reduce context while preserving structure

Learn More

• User Guide - Complete documentation
• Design Philosophy
• Real-world Examples

License

Apache License, Version 2.0. See LICENSE for details.