Contextful MCP Server

@Inferensys

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基本情報

カテゴリ

メモリとナレッジ

ライセンス

MIT

作者

Inferensys

Contextful MCP Server について

Context Management Layer for Agentic AI. Graph-based knowledge context, SQLite index, advanced FTS5 lexical/BM25 search and cross-session live memory.

Contextful MCP Server の設定

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": {
    "contextful": {
      "command": "npx",
      "args": [
        "@inferensys/contextful",
        "init",
        "--workspace",
        "."
      ]
    }
  }
}

Contextful MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Contextful?

Context Management Layer for Agentic AI. Graph-based knowledge context, SQLite index, advanced FTS5 lexical/BM25 search and cross-session live memory.

How to use Contextful?

The README includes setup instructions such as npx @inferensys/contextful init --workspace ..

Key features of Contextful

100x more efficient token usage: stop paying tokens to re-read the same files
Fewer tool calls: one context pack can replace dozens of grep, glob, and read-file calls
No lost context between sessions: agents can store session learnings in an evidence-backed memory ledger
Shareable project knowledge: lessons and context packs survive context compaction and future sessions
SQLite as the default local store

Use cases of Contextful

Connect an MCP-compatible client to this repository's service.
Review the README-backed setup before enabling it in production.

よくある質問

Where is the source code for Contextful?

The source code is linked from the repository URL on this page.

Does Contextful include a standard MCP config?

If the README contains a parseable MCP configuration block, it is shown in the Config tab.

「メモリとナレッジ」の他のコンテンツ

Orcha

westonhancock

Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge. Files, structured databases, and connected sources live in one workspace, and age