MCP.so
登录

Dependency Context MCP Server

@Dsinghbailey

基本信息

分类

其他

许可证

NOASSERTION

传输方式

stdio

作者

Dsinghbailey

关于 Dependency Context MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

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.

评论

其他 分类下的更多 MCP 服务器