claude-prompts-mcp
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Claude Prompts MCP Server is a universal Model Context Protocol server designed to enhance AI workflows with advanced prompt engineering and orchestration capabilities.
Claude Prompts MCP Server
๐ The Universal Model Context Protocol Server for Any MCP Client
Supercharge your AI workflows with battle-tested prompt engineering, intelligent orchestration, and lightning-fast hot-reload capabilities. Works seamlessly with Claude Desktop, Cursor Windsurf, and any MCP-compatible client.
โก Quick Start โข ๐ฏ Features โข ๐ Docs โข ๐ ๏ธ Advanced
๐ What Makes This Special?
- ๐ฅ Intelligent Hot-Reload System โ Update prompts instantly without restarts
- ๐ฏ Advanced Template Engine โ Nunjucks-powered with conditionals, loops, and dynamic data
- โก Multi-Phase Orchestration โ Robust startup sequence with comprehensive health monitoring
- ๐ Universal MCP Compatibility โ Works flawlessly with Claude Desktop, Cursor Windsurf, and any MCP client
- ๐ง Prompt Chain Workflows โ Build complex multi-step AI processes
- ๐ Real-Time Diagnostics โ Performance metrics and health validation built-in
Transform your AI assistant experience from scattered prompts to a powerful, organized command library that works across any MCP-compatible platform.
๐ Revolutionary Interactive Prompt Management
๐ฏ The Future is Here: Manage Your AI's Capabilities FROM WITHIN the AI Conversation
This isn't just another prompt server โ it's a living, breathing prompt ecosystem that evolves through natural conversation with your AI assistant. Imagine being able to:
# ๐ฃ๏ธ Create new prompts by talking to your AI
"Hey Claude, create a new prompt called 'code_reviewer' that analyzes code for security issues"
โ Claude creates, tests, and registers the prompt instantly
# โ๏ธ Refine prompts through conversation
"That code reviewer prompt needs to also check for performance issues"
โ Claude modifies the prompt and hot-reloads it immediately
# ๐ Discover and iterate on your prompt library
>>listprompts
โ Browse your growing collection, then ask: "Improve the research_assistant prompt to be more thorough"
๐ Why This Changes Everything:
- ๐ Self-Evolving System: Your AI assistant literally builds and improves its own capabilities in real-time
- ๐ฎ No Context Switching: Never leave your AI conversation to manage prompts โ everything happens inline
- ๐ง Collaborative Intelligence: You and your AI work together to craft the perfect prompt library
- โก Instant Gratification: Create โ Test โ Refine โ Deploy in seconds, not minutes
- ๐ฑ Organic Growth: Your prompt library naturally evolves based on your actual usage patterns
This is what conversational AI infrastructure looks like โ where the boundary between using AI and building AI capabilities disappears entirely.
โก Features & Reliability
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๐ฏ Developer Experience
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๐ Enterprise Architecture
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๐ ๏ธ Complete Interactive MCP Tools Suite
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๐ฏ One-Command Installation
Get your AI command center running in under a minute:
# Clone โ Install โ Launch โ Profit! ๐
git clone https://github.com/minipuft/claude-prompts-mcp.git
cd claude-prompts-mcp/server && npm install && npm run build && npm start
๐ Universal MCP Client Integration
Claude Desktop
Drop this into your claude_desktop_config.json:
{
"mcpServers": {
"claude-prompts-mcp": {
"command": "node",
"args": ["E:\\path\\to\\claude-prompts-mcp\\server\\dist\\index.js"],
"env": {
"MCP_PROMPTS_CONFIG_PATH": "E:\\path\\to\\claude-prompts-mcp\\server\\promptsConfig.json"
}
}
}
}
Cursor Windsurf & Other MCP Clients
Configure your MCP client to connect via STDIO transport:
- Command:
node - Args:
["path/to/claude-prompts-mcp/server/dist/index.js"] - Environment:
MCP_PROMPTS_CONFIG_PATH=path/to/promptsConfig.json
๐ก Pro Tip: Use absolute paths for bulletproof integration across all MCP clients!
๐ฎ Start Building Immediately
Your AI command arsenal is ready, and it grows through conversation:
# Discover your new superpowers
>>listprompts
# Execute lightning-fast prompts
>>friendly_greeting name="Developer"
# ๐ NEW: Create prompts by talking to your AI
"Create a prompt called 'bug_analyzer' that helps me debug code issues systematically"
โ Your AI creates, tests, and registers the prompt instantly!
# ๐ Refine prompts through conversation
"Make the bug_analyzer prompt also suggest performance improvements"
โ Prompt updated and hot-reloaded automatically
# Handle complex scenarios with JSON
>>research_prompt {"topic": "AI trends", "depth": "comprehensive", "format": "executive summary"}
# ๐ง Build your custom AI toolkit naturally
"I need a prompt for writing technical documentation"
โ "The bug_analyzer needs to also check for security issues"
โ "Create a prompt chain that reviews code, tests it, then documents it"
๐ The Magic: Your prompt library becomes a living extension of your workflow, growing and adapting as you work with your AI assistant.
๐ฅ Why Developers Choose This Server
โก Lightning-Fast Hot-Reload โ Edit prompts, see changes instantly
Our sophisticated orchestration engine monitors your files and reloads everything seamlessly:
# Edit any prompt file โ Server detects โ Reloads automatically โ Zero downtime
- Instant Updates: Change templates, arguments, descriptions in real-time
- Zero Restart Required: Advanced hot-reload system keeps everything running
- Smart Dependency Tracking: Only reloads what actually changed
- Graceful Error Recovery: Invalid changes don't crash the server
๐จ Next-Gen Template Engine โ Nunjucks-powered dynamic prompts
Go beyond simple text replacement with a full template engine:
Analyze {{content}} for {% if focus_area %}{{focus_area}}{% else %}general{% endif %} insights.
{% for requirement in requirements %}
- Consider: {{requirement}}
{% endfor %}
{% if previous_context %}
Build upon: {{previous_context}}
{% endif %}
- Conditional Logic: Smart prompts that adapt based on input
- Loops & Iteration: Handle arrays and complex data structures
- Template Inheritance: Reuse and extend prompt patterns
- Real-Time Processing: Templates render with live data injection
๐๏ธ Enterprise-Grade Orchestration โ Multi-phase startup with health monitoring
Built like production software with comprehensive architecture:
Phase 1: Foundation โ Config, logging, core services
Phase 2: Data Loading โ Prompts, categories, validation
Phase 3: Module Init โ Tools, executors, managers
Phase 4: Server Launch โ Transport, API, diagnostics
- Dependency Management: Modules start in correct order with validation
- Health Monitoring: Real-time status of all components
- Performance Metrics: Memory usage, uptime, connection tracking
- Diagnostic Tools: Built-in troubleshooting and debugging
๐ Intelligent Prompt Chains โ Multi-step AI workflows
Create sophisticated workflows where each step builds on the previous:
{
"id": "content_analysis_chain",
"name": "Content Analysis Chain",
"isChain": true,
"chainSteps": [
{
"stepName": "Extract Key Points",
"promptId": "extract_key_points",
"inputMapping": { "content": "original_content" },
"outputMapping": { "key_points": "extracted_points" }
},
{
"stepName": "Analyze Sentiment",
"promptId": "sentiment_analysis",
"inputMapping": { "text": "extracted_points" },
"outputMapping": { "sentiment": "analysis_result" }
}
]
}
- Visual Step Planning: See your workflow before execution
- Input/Output Mapping: Data flows seamlessly between steps
- Error Recovery: Failed steps don't crash the entire chain
- Flexible Execution: Run chains or individual steps as needed
๐ System Architecture
graph TB
A[Claude Desktop] -->|MCP Protocol| B[Transport Layer]
B --> C[๐ง Orchestration Engine]
C --> D[๐ Prompt Manager]
C --> E[๐ ๏ธ MCP Tools Manager]
C --> F[โ๏ธ Config Manager]
D --> G[๐จ Template Engine]
E --> H[๐ง Management Tools]
F --> I[๐ฅ Hot Reload System]
style C fill:#ff6b35
style D fill:#00ff88
style E fill:#0066cc
๐ MCP Client Compatibility
This server implements the Model Context Protocol (MCP) standard and works with any compatible client:
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โ Tested & Verified
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๐ Transport Support
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๐ฏ Integration Features
|
๐ก Developer Note: As MCP adoption grows, this server will work with any new MCP-compatible AI assistant or development environment without modification.
๐ ๏ธ Advanced Configuration
โ๏ธ Server Powerhouse (config.json)
Fine-tune your server's behavior:
{
"server": {
"name": "Claude Custom Prompts MCP Server",
"version": "1.0.0",
"port": 9090
},
"prompts": {
"file": "promptsConfig.json",
"registrationMode": "name"
},
"transports": {
"default": "stdio",
"sse": { "enabled": false },
"stdio": { "enabled": true }
}
}
๐๏ธ Prompt Organization (promptsConfig.json)
Structure your AI command library:
{
"categories": [
{
"id": "development",
"name": "๐ง Development",
"description": "Code review, debugging, and development workflows"
},
{
"id": "analysis",
"name": "๐ Analysis",
"description": "Content analysis and research prompts"
},
{
"id": "creative",
"name": "๐จ Creative",
"description": "Content creation and creative writing"
}
],
"imports": [
"prompts/development/prompts.json",
"prompts/analysis/prompts.json",
"prompts/creative/prompts.json"
]
}
๐ Advanced Features
๐ Multi-Step Prompt Chains โ Build sophisticated AI workflows
Create complex workflows that chain multiple prompts together:
# Research Analysis Chain
## User Message Template
Research {{topic}} and provide {{analysis_type}} analysis.
## Chain Configuration
Steps: research โ extract โ analyze โ summarize
Input Mapping: {topic} โ {content} โ {key_points} โ {insights}
Output Format: Structured report with executive summary
Capabilities:
- Sequential Processing: Each step uses output from previous step
- Parallel Execution: Run multiple analysis streams simultaneously
- Error Recovery: Graceful handling of failed steps
- Custom Logic: Conditional branching based on intermediate results
๐จ Advanced Template Features โ Dynamic, intelligent prompts
Leverage the full power of Nunjucks templating:
# {{ title | title }} Analysis
## Context
{% if previous_analysis %}
Building upon previous analysis: {{ previous_analysis | summary }}
{% endif %}
## Requirements
{% for req in requirements %}
{{loop.index}}. **{{req.priority | upper}}**: {{req.description}}
{% if req.examples %}
Examples: {% for ex in req.examples %}{{ex}}{% if not loop.last %}, {% endif %}{% endfor %}
{% endif %}
{% endfor %}
## Focus Areas
{% set focus_areas = focus.split(',') %}
{% for area in focus_areas %}
- {{ area | trim | title }}
{% endfor %}
Template Features:
- Filters & Functions: Transform data on-the-fly
- Conditional Logic: Smart branching based on input
- Loops & Iteration: Handle complex data structures
- Template Inheritance: Build reusable prompt components
๐ง Real-Time Management Tools โ Hot management without downtime
Manage your prompts dynamically while the server runs:
# Update prompts on-the-fly
>>update_prompt id="analysis_prompt" content="new template"
# Add new sections dynamically
>>modify_prompt_section id="research" section="examples" content="new examples"
# Hot-reload everything
>>reload_prompts reason="updated templates"
Management Capabilities:
- Live Updates: Change prompts without server restart
- Section Editing: Modify specific parts of prompts
- Bulk Operations: Update multiple prompts at once
- Rollback Support: Undo changes when things go wrong
๐ Production Monitoring โ Enterprise-grade observability
Built-in monitoring and diagnostics for production environments:
// Health Check Response
{
healthy: true,
modules: {
foundation: true,
dataLoaded: true,
modulesInitialized: true,
serverRunning: true
},
performance: {
uptime: 86400,
memoryUsage: { rss: 45.2, heapUsed: 23.1 },
promptsLoaded: 127,
categoriesLoaded: 8
}
}
Monitoring Features:
- Real-Time Health Checks: All modules continuously monitored
- Performance Metrics: Memory, uptime, connection tracking
- Diagnostic Tools: Comprehensive troubleshooting information
- Error Tracking: Graceful error handling with detailed logging
๐ Documentation Hub
| Guide | Description |
|---|---|
| Complete setup walkthrough with troubleshooting | |
| Common issues, diagnostic tools, and solutions | |
| A deep dive into the orchestration engine, modules, and data flow | |
| Master prompt creation with examples | |
| Build complex multi-step workflows | |
| Dynamic management and hot-reload features | |
| Complete MCP tools documentation | |
| Planned features and development roadmap | |
| Join our development community |
๐ค Contributing
We're building the future of AI prompt engineering! Join our community:
- ๐ Found a bug? Open an issue
- ๐ก Have an idea? Start a discussion
- ๐ง Want to contribute? Check our
- ๐ Need help? Visit our
๐ License
Released under the - see the file for details.
โญ Star this repo if it's transforming your AI workflow!
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