Houtini LM - LM Studio MCP Server with Expert Prompt Library and Custom Prompting

Your unlimited AI companion: This MCP server connects Claude to LM Studio for code analysis, generation, and creativity

Transform your development workflow with our expert-level prompt library for code analysis, professional documentation generation, and creative project scaffolding - all running locally without API costs. For developers, vibe coders and creators alike.

What This Does

Houtini LM saves your Claude context window by offloading detailed analysis tasks to LM Studio locally or on your company network whilst Claude focuses on strategy and complex problem-solving. Think of it as your intelligent coding assistant that never runs out of tokens.

Perfect for:

🔍 Code analysis - Deep insights into quality, security, and architecture
📝 Documentation generation - Professional docs from code analysis
🏗️ Project scaffolding - Complete applications, themes, and components
🎮 Creative projects - Games, CSS art, and interactive experiences
🛡️ Security audits - OWASP compliance and vulnerability detection

Quick Start Prompt Guide

Once installed, simply use natural language prompts with Claude:

Use houtini-lm to analyse the code quality in C:/my-project/src/UserAuth.js

Generate comprehensive unit tests using houtini-lm for my React component at C:/components/Dashboard.jsx

Use houtini-lm to create a WordPress plugin called "Event Manager" with custom post types and admin interface

Audit the security of my WordPress theme using houtini-lm at C:/themes/my-theme

Create a CSS art generator project using houtini-lm with space theme and neon colours

Use houtini-lm to convert my JavaScript file to TypeScript with strict mode enabled

Generate responsive HTML components using houtini-lm for a pricing card with dark mode support

Prerequisites

Essential Requirements:

LM Studio - Download from lmstudio.ai
- Must be running at ws://127.0.0.1:1234
- Model loaded and ready (13B+ parameters recommended)
Desktop Commander MCP - Essential for file operations
- Repository: DesktopCommanderMCP
- Required for reading files and writing generated code
Node.js 24.6.0 or later - For MCP server functionality
- Download from nodejs.org
Claude Desktop - For the best experience
- Download from claude.ai/download

Installation

1. Install the Package

# Install globally via npm npm install -g @houtini/lm # Or use npx (no installation required) npx @houtini/lm

2. Configure Claude Desktop

Add to your Claude Desktop configuration file:

Windows: %APPDATA%/Claude/claude_desktop_config.json
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

{ "mcpServers": { "houtini-lm": { "command": "npx", "args": ["@houtini/lm"], "env": { "LLM_MCP_ALLOWED_DIRS": "C:/your-projects,C:/dev,C:/websites" } } } }

3. Start LM Studio

Launch LM Studio
Load a model (13B+ parameters recommended for best results)
Start the server at ws://127.0.0.1:1234
Verify the model is ready and responding

4. Verify Installation

Restart Claude Desktop, then test with:

Use houtini-lm health check to verify everything is working

Available Functions

🔍 Analysis Functions (17 functions)

analyze_single_file - Deep code analysis and quality assessment
count_files - Project structure with beautiful markdown trees
find_unused_files - Dead code detection with risk assessment
security_audit - OWASP compliance and vulnerability scanning
analyze_dependencies - Circular dependencies and unused imports
And 12 more specialized analysis tools...

🛠️ Generation Functions (10 functions)

generate_unit_tests - Comprehensive test suites with framework patterns
generate_documentation - Professional docs from code analysis
convert_to_typescript - JavaScript to TypeScript with type safety
generate_wordpress_plugin - Complete WordPress plugin creation
generate_responsive_component - Accessible HTML/CSS components
And 5 more generation tools...

🎮 Creative Functions (3 functions)

css_art_generator - Pure CSS art and animations
arcade_game - Complete playable HTML5 games
create_text_adventure - Interactive fiction with branching stories

⚙️ System Functions (5 functions)

health_check - Verify LM Studio connection
list_functions - Discover all available functions
resolve_path - Path analysis and suggestions
And 2 more system utilities...

Context Window Management

Houtini LM implements intelligent context window management to maximize the efficiency of your local LM models while ensuring reliable processing of large files and complex analysis tasks.

Dynamic Context Allocation

Adaptive Context Utilization: Unlike systems with hardcoded token limits, Houtini LM dynamically detects your model's context window and allocates 95% of available tokens for optimal performance:

// Context detection from your loaded model const contextLength = await model.getContextLength(); // e.g., 16,384 tokens // Dynamic allocation - 95% utilization const responseTokens = Math.floor(contextLength * 0.95); // 15,565 tokens available

Benefits:

✅ Maximum efficiency - No wasted context space
✅ Model-agnostic - Works with any context size (4K, 16K, 32K+)
✅ Future-proof - Automatically adapts to larger models

Three-Stage Prompt System

Houtini LM uses a sophisticated prompt architecture that separates concerns for optimal token management:

Stage 1: System Context - Expert persona and analysis methodology
Stage 2: Data Payload - Your code, files, or project content
Stage 3: Output Instructions - Structured response requirements

┌─────────────────────┐ │ System Context │ ← Expert role, methodologies ├─────────────────────┤ │ Data Payload │ ← Your files/code (chunked if needed) ├─────────────────────┤ │ Output Instructions │ ← Response format, requirements └─────────────────────┘

Intelligent Processing:

Small files → Single-stage execution for speed
Large files → Automatic chunking with coherent aggregation
Multi-file projects → Optimized batch processing

Automatic Chunking Capability

When files exceed available context space, Houtini LM automatically chunks content while maintaining analysis quality:

Smart Chunking Features:

🔍 Natural boundaries - Splits at logical sections, not arbitrary points
🔄 Context preservation - Maintains analysis continuity across chunks
📊 Intelligent aggregation - Combines chunk results into coherent reports
⚡ Performance optimization - Parallel processing where possible

Example Chunking Process:

Large File (50KB) → Context Analysis → Exceeds Limit ↓ Split into 3 logical chunks → Process each chunk → Aggregate results ↓ Single comprehensive analysis report

Timeout Configuration

Houtini LM uses 120-second timeouts (2 minutes) to accommodate thorough analysis on lower-powered systems:

Why Extended Timeouts:

🔍 Complex analysis - Security audits, architecture analysis, and comprehensive code reviews take time
💻 System compatibility - Works reliably on older hardware and resource-constrained environments
🧠 Model processing - Larger local models (13B-33B parameters) require more inference time
📊 Quality over speed - Comprehensive reports are worth the wait

Timeout Guidelines:

Simple analysis (100 lines): 15-30 seconds
Medium files (500 lines): 30-60 seconds
Large files (1000+ lines): 60-120 seconds
Multi-file projects: 90-180 seconds

Performance Tips:

Use faster models (13B vs 33B) for quicker responses
Enable GPU acceleration in LM Studio for better performance
Consider using analysisDepth="basic" for faster results when appropriate

Memory Efficiency

Intelligent Caching: Results are cached to prevent redundant processing
Resource Management: Automatic cleanup of large contexts after processing
Streaming Responses: Progressive output delivery for better user experience

This architecture ensures Houtini LM can handle everything from small utility functions to entire enterprise codebases while maintaining consistent quality and performance across different hardware configurations.

Documentation

Complete guides available:

Analysis Functions Guide - All 17 analysis tools
Generation Functions Guide - All 10 creation tools
Creative Functions Guide - Games and art tools
System Functions Guide - Utilities and diagnostics
Complete User Guide - Comprehensive usage manual

Recommended Setup

For Professional Development:

CPU: 8-core or better (for local LLM processing)
RAM: 32GB (24GB for model, 8GB for development)
Storage: SSD with 100GB+ free space
Model: Qwen2.5-Coder-14B-Instruct or similar

Performance Tips:

Use 13B+ parameter models for professional-quality results
Configure LLM_MCP_ALLOWED_DIRS to include your project directories
Install Desktop Commander MCP for complete file operation support
Keep LM Studio running and model loaded for instant responses

Version History

Version 1.0.0 (Current)

✅ Complete function library (35+ functions)
✅ Professional documentation system
✅ WordPress-specific tools and auditing
✅ Creative project generators
✅ Comprehensive security analysis
✅ TypeScript conversion and test generation
✅ Cross-file integration analysis

License

MIT License - Use this project freely for personal and commercial projects. See LICENSE for details.

Contributing

We welcome contributions! Please see our Contributing Guidelines for details on:

Code standards and patterns
Testing requirements
Documentation updates
Issue reporting

Support

Issues: GitHub Issues
Discussions: GitHub Discussions
Documentation: Complete guides in the docs/ directory

Ready to supercharge your development workflow? Install Houtini LM and start building amazing things with unlimited local AI assistance.

Built for developers who think clearly but can't afford to think expensively.

Deploy Server

HTTP connection URL

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

local-only server

The server can only run on the client's local machine because it depends on local resources.

Tools

View all tools

Houtini LM - LM Studio MCP Server with Expert Prompt Library and Custom Prompting - Offload tasks to LM Studio from Claude Desktop.

Houtini-lm