P
PIF
community
content
A Personal Intelligence Framework (PIF), providing tools for file operations, structured reasoning, and journal-based documentation to support continuity and evolving human-AI collaboration across sessions.
Model Context Protocol TypeScript Implementation
Overview
This project implements the Model Context Protocol (MCP) as a practical embodiment of the Personal Intelligence Framework (PIF). Through structured tools and progressive interaction patterns, it creates spaces for meaningful development of understanding between humans and AI.
Quick Start
Prerequisites
- Node.js 18+ and npm
- TypeScript 5.0+
- Model Context Protocol TypeScript SDK
- Claude Desktop Client configured for custom servers
Note: This implementation has been tested on both Windows and macOS/Linux systems.
Setup
- Clone the repository:
git clone [https://github.com/hungryrobot1/MCP-PIF] cd mcp-pif
- Install dependencies:
npm install
-
Configure the server:
- Configuration is now auto-detected by default, but you can customize:
- Set the
environment variable to specify a workspace locationMCP_WORKSPACE_ROOT
- Or set the
environment variable with a JSON string of configuration optionsMCP_CONFIG
- Or directly edit
to modify the default configurationsrc/config.ts
- Set the
- Configuration is now auto-detected by default, but you can customize:
-
Build the server:
npm run build
-
Configure Claude Desktop Client:
- Locate your Claude Desktop Client configuration directory
- Create or modify
:claude_desktop_config.json
{ "mcpServers": { "mcp-pif": { "command": "node", "args": ["path/to/your/mcp-pif/build/index.js"], "cwd": "path/to/your/mcp-pif", "env": {} } } }
- Replace
with your actual repository pathpath/to/your/mcp-pif
- Paths are automatically normalized for your operating system
-
Connect Claude Desktop Client:
- Start or restart the Claude Desktop Client
- Select "mcp-pif" as your custom server
- Start a new chat to begin using the server
Directory Structure
The server will create and manage the following structure in your configured workspace:
workspace/ ├── home/ │ ├── meta/ │ │ └── journal/ # For storing journal entries │ └── projects/ # For user projects
Next Steps
- Review the Module Documentation for available tools
- Explore the Architecture Guide for implementation details
- Check the Development Guide for contribution guidelines
Troubleshooting
- If manually specifying paths, use platform-appropriate separators (backslashes on Windows, forward slashes on macOS/Linux)
- Check the Claude Desktop Client logs if connection fails
- Verify your workspace directory exists and is writable
- Make sure Node.js and TypeScript versions meet requirements
Core Implementation
Available Tools
The implementation provides a set of core tools designed to support structured interaction:
- Filesystem Operations: Navigate and manage workspace context
,pwd
,cd
,read
,write
,mkdir
,delete
,move
rename
- Reasoning Tools: Create spaces for structured thought
: Develop connected insightsreason
: Create temporal spaces for contemplationthink
- Journal System: Maintain framework continuity
: Document developmentsjournal_create
: Explore patternsjournal_read
Basic Usage
// Create a structured thought pattern reason: { thoughts: [ { content: "Initial observation" }, { content: "Building on previous thought", relationType: "sequence", relationTo: 0 } ] } // Document development journal_create: { title: "Implementation Pattern", content: "Insights about development...", tags: ["development", "patterns"] }
Cross-Platform Support
The MCP-PIF server is designed to work seamlessly on Windows, macOS, and Linux environments:
Path Handling
- All file paths are automatically normalized for the current operating system
- The workspace root is detected automatically based on the current environment
- Both absolute and relative paths are supported within the workspace
Configuration
- Environment variables provide a cross-platform way to configure the server
- File operations use Node.js path methods to ensure consistent behavior
- Journal entries and other data are stored in a platform-independent format
Development Workflow
- NPM scripts work on all platforms
- TypeScript compilation produces platform-agnostic JavaScript
- Error handling accounts for platform-specific file system behaviors
Implementation Framework
Module Architecture
The system is built around modular tools that create conditions for structured emergence:
src/ ├── core/ # Framework foundations ├── mcp_modules/ # Tool implementations └── api/ # External integrations
Tool Patterns
Each tool follows consistent patterns while maintaining its unique role:
- Clear interface definitions
- Structured error handling
- State management
- Cross-module interaction
Development Environment
- TypeScript for type safety
- Module-based organization
- Comprehensive logging
- Workspace context management
Theoretical Foundation
Personal Intelligence Framework
The PIF represents a new approach to human-AI collaboration based on:
- Creating conditions for structured emergence
- Maintaining framework-based continuity
- Supporting progressive development
- Enabling meaningful interaction
Structured Emergence
Rather than prescribing fixed patterns, the implementation creates bounded spaces where understanding can emerge through:
- Tool-mediated interaction
- Relationship structures
- Temporal spaces
- Progressive development
Framework-Based Continuity
Understanding develops through:
- Structured documentation
- Pattern discovery
- Historical context
- Evolutionary development
Progressive Disclosure
The system supports different levels of engagement:
- Immediate practical usage
- Pattern discovery
- Framework evolution
- Philosophical alignment
Development Paths
Tool User
For those primarily interested in practical implementation:
- Start with basic tool usage
- Explore module documentation
- Develop interaction patterns
- Discover emerging capabilities
Framework Developer
For those interested in extending the system:
- Review module architecture
- Understand tool patterns
- Implement new capabilities
- Maintain framework alignment
Theoretical Explorer
For those interested in deeper patterns:
- Study implementation principles
- Observe emerging patterns
- Contribute to framework evolution
- Develop new understanding
Contributing
This project welcomes contributions that engage with both implementation and theoretical aspects:
- Tool development
- Documentation improvement
- Pattern discovery
- Framework evolution
Documentation
Comprehensive documentation is available:
- Module Documentation: Individual tool documentation
- Architecture Guide: System design and patterns
- Development Guide: Implementation patterns
Future Directions
The project continues to evolve through:
- New tool development
- Pattern discovery
- Framework refinement
- Community engagement
Philosophy
This implementation embodies a view where:
- Understanding emerges through structured interaction
- Tools create spaces for new patterns
- Development itself becomes philosophical inquiry
- Human and AI intelligence co-evolve
Notes on Usage
The system is more than a set of tools - it is a space for exploring how human and AI intelligence can develop through structured interaction. Each session is an opportunity to discover new patterns of understanding and collaboration.
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