MCP Context Manager

Name: MCP Context Manager
Author: tejpalvirk

@tejpalvirk

リポジトリ

MCP Context Manager について

MCP Servers for persistent context across work sessions using knowledge graphs

基本情報

カテゴリ

その他

ランタイム

node

トランスポート

stdio

公開者

tejpalvirk

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "contextmanager": {
      "command": "npx",
      "args": [
        "github:tejpalvirk/contextmanager"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Context Manager?

MCP Context Manager is a collection of Model Context Protocol (MCP) servers that provide AI models with persistent context across work sessions throughout the project lifecycle. It stores context in domain‑specific knowledge graphs and offers a central manager for unified access to multiple domain servers.

How to use MCP Context Manager?

Install via npx github:tejpalvirk/contextmanager (recommended) or globally with npm install -g github:tejpalvirk/contextmanager and run mcp-server-contextmanager. Use tools such as setActiveDomain, startsession, endsession, buildcontext, loadcontext, and deletecontext to manage context. Configure domain selection with the --domains flag and data paths with environment variables MEMORY_FILE_PATH and SESSIONS_FILE_PATH.

Key features of MCP Context Manager

Persistent context with buildcontext, loadcontext, and deletecontext tools
Session management with startsession and endsession tools
Cross‑domain support for relationships between different knowledge domains
Knowledge graph storage for token efficiency and context window performance
Unified interface with smart routing to domain‑specific servers
Standardized status, priority, and sequencing across domains

Use cases of MCP Context Manager

Manage software development context (projects, components, tasks) with status and priority tracking
Handle project management knowledge (tasks, resources) with sequencing and progress tracking
Support educational workflows (courses, assignments, exams) with learning sequences
Organize qualitative research data (studies, participants, interviews) with analysis sequencing
Structure quantitative research datasets (variables, analyses) with sequential process management

FAQ from MCP Context Manager

What problem does MCP Context Manager solve compared to plain context windows?

It uses knowledge graphs to free up the AI’s context window (performance) and minimize token cost (efficiency), providing persistent, organized context across sessions.

What are the runtime requirements?

Node.js v16 or higher and npm v7 or higher are required. No external databases or services are needed beyond the local file system.

Where does the knowledge graph data live?

Data is stored in two files per domain: a memory file (default <domain_directory>/memory.json) and a sessions file (default <domain_directory>/sessions.json). Paths can be customized with environment variables MEMORY_FILE_PATH and SESSIONS_FILE_PATH.

What transport protocol does MCP Context Manager use?

It uses the MCP Client SDK to communicate between the Context Manager and domain servers, and it exposes an MCP server interface for integration with clients like Claude Desktop.