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Personal Context Technology MCP Server

@mikhashev

Repository

Basic information

Category

Other

License

MIT license

Transports

stdio

Author

mikhashev

About Personal Context Technology MCP Server

Personal Context Technology for AI Personalization MCP server

#open-source#context-management#ai-personalization#mcp-server#vibe-learning#personal-context-technology

Personal Context Technology MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "personal-context-server": {
      "command": "node",
      "args": [
        "PATH_TO_YOUR_PROJECT/pct-mcp-server/dist/index.js"
      ]
    }
  }
}

Personal Context Technology MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Personal Context Technology MCP Server?

It implements a server for Personal Context Technology (PCT) using the Model Context Protocol (MCP). This server enables AI assistants like Claude to access and update personalized context data, creating persistent memory between sessions.

How to use Personal Context Technology MCP Server?

Clone the repository, install dependencies with npm install, build with npm run build, and start with npm start. Then configure Claude Desktop by editing claude_desktop_config.json to point to the built dist/index.js. After restarting Claude Desktop, you can access context data via MCP tools and resources.

Key features of Personal Context Technology MCP Server

  • Persistent context storage across AI sessions
  • Privacy controls via an instruction block
  • Section‑based access to full or partial context
  • Update specific context fields with the updateContext tool
  • Version tracking of context changes
  • Supports local or cloud data storage (user‑defined)

Use cases of Personal Context Technology MCP Server

  • Personalize AI assistant responses using stored preferences and goals
  • Update context as your situation or learning style changes
  • Control which data is private vs. public via explicit instructions
  • Provide consistent memory across multiple AI interactions

Frequently asked questions

1

What is Personal Context Technology (PCT)?

PCT lets you structure personal data that AI assistants use for personalized responses. Your context is preserved between sessions, and you control where data is stored and how it is used.

2

How do I connect this server to Claude Desktop?

After building the server, edit Claude Desktop’s `claude_desktop_config.json` (located in `%AppData%\Claude Desktop\` on Windows, `~/Library/Application Support/Claude Desktop/` on macOS, or `~/.config/Claude Desktop/` on Linux) to add the server with the `node` command and the path to `dist/index.js`.

3

How can I update my personal context?

Use the `updateContext` tool. For example, prompt Claude: “Update my learning_style in preferences to ‘visual and hands-on’.”

4

Where is my data stored?

By default, context data is stored in `data/personal_context.json` inside the project directory. You can change storage location or switch to user‑specific files for multi‑user support.

5

What transport does the server use?

The default transport is stdio (for local development). You can switch to HTTP transport by editing `src/index.ts` and configuring a port and CORS settings.

Comments

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