Personal Context Manager

Personal Context Manager

Provides persistent personal context storage across AI conversations, allowing AI assistants to remember user preferences, project conventions, and other personal information between sessions.

Category
Visit Server

README

Personal Context Manager

An MCP (Model Context Protocol) server that provides persistent personal context storage across AI conversations. It allows AI assistants to remember user preferences, project conventions, and other personal information between sessions.

Features

  • Persistent Storage — Context entries are saved to a local JSON file and survive across conversations
  • Upsert by Key — Automatically creates or updates entries based on key, avoiding duplicates
  • Keyword Search — Search across keys, values, and tags to find relevant context
  • Tagging — Organize entries with optional tags for easier retrieval
  • Atomic Writes — Uses tmp-file + rename to prevent data corruption

Tools

Tool Description
update_context Add or update a context entry by key
get_context Search entries by keyword
list_contexts List all stored entries
delete_context Delete an entry by ID

Setup

Install

npm install
npm run build

Configure in Claude Code

Add to your MCP settings (~/.claude/settings.json):

{
  "mcpServers": {
    "personal-context-manager": {
      "command": "node",
      "args": ["/path/to/personal-context-manager/dist/index.js"]
    }
  }
}

Data Location

Context data is stored at ~/.personal-context-manager/contexts.json by default.

Override with the CONTEXT_MANAGER_DATA_DIR environment variable:

{
  "mcpServers": {
    "personal-context-manager": {
      "command": "node",
      "args": ["/path/to/personal-context-manager/dist/index.js"],
      "env": {
        "CONTEXT_MANAGER_DATA_DIR": "/custom/path"
      }
    }
  }
}

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured