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Dependency Context MCP Server

@Dsinghbailey

リポジトリ

基本情報

カテゴリ

その他

ライセンス

NOASSERTION

トランスポート

stdio

作者

Dsinghbailey

Dependency Context MCP Server について

An MCP server that provides AI assistants with contextual access to your project's dependency documentation, enabling more accurate responses about libraries and frameworks used in your codebase.

Dependency Context 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": {
    "dependency-context": {
      "command": "npx",
      "args": [
        "-y",
        "--package=dependency-context",
        "dependency-context"
      ],
      "env": {
        "GITHUB_TOKEN": "YOUR_GITHUB_TOKEN_HERE",
        "MODEL_NAME": "Xenova/all-MiniLM-L6-v2",
        "DEBUG": "false",
        "MIN_CHUNK_SIZE": "800",
        "MAX_CHUNK_SIZE": "8000",
        "CHUNKS_RETURNED": "5"
      }
    }
  }
}

Dependency Context 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 Dependency Context?

An MCP server and command line tool that provides AI assistants with contextual access to your project's dependency documentation, enabling more accurate responses about libraries and frameworks used in your codebase.

How to use Dependency Context?

Configure by creating a dependency-context.json file in your project root listing the dependencies to index. If none is present, it falls back to scanning package.json or requirements.txt. Add the MCP config to your editor (Cursor recommended), then prompt the AI to initialize dependency-context. A CLI mode is also available via npx or global install for direct documentation download.

Key features of Dependency Context

  • Indexes dependency documentation from GitHub repositories
  • Provides semantic search over indexed documentation
  • Supports custom dependency configuration via dependency-context.json
  • Falls back to package.json or requirements.txt automatically
  • Includes both MCP tools and a standalone CLI mode
  • Uses local vector embeddings for offline search

Use cases of Dependency Context

  • Ask an AI assistant how to use a specific function in an installed library
  • Search across multiple dependency docs for authentication patterns
  • Quickly download raw documentation for offline browsing
  • Get accurate, context-aware answers about your project's dependencies

よくある質問

1

How does Dependency Context discover my project's dependencies?

It first looks for a custom `dependency-context.json` file in the project root. If not present, it falls back to scanning `package.json` (Node.js) or `requirements.txt` (Python).

2

What do I need to run Dependency Context?

Node.js and npm are required. A GitHub personal access token is optional but recommended to avoid API rate limits. No external database or cloud service is needed—vector embeddings run locally.

3

Where is the indexed documentation stored?

Documentation is cloned into a `dependency-context` folder within your project directory. Each dependency gets its own folder containing Markdown documentation from its repository.

4

What happens if my search returns empty results?

Check that the indexing process completed without errors, verify your query is relevant to the indexed dependencies, and try a more general query first.

5

Does Dependency Context require a GitHub token?

No, but it is recommended. Without it, you may encounter "API rate limit exceeded" errors when cloning repositories. Set it as the `GITHUB_TOKEN` environment variable.

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