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Py MCP Collection

@strawgate

代码仓库

基本信息

分类

其他

许可证

Apache-2.0

传输方式

stdio

作者

strawgate

关于 Py MCP Collection

Assorted Python MCP Servers

Py MCP Collection 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Py MCP Collection 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。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Py Mcp Collection?

Py Mcp Collection is a repository containing multiple MCP (Model Context Protocol) servers designed for AI coding assistants. It currently includes three ready-to-use servers—Filesystem Operations, Local References, and MCP Oops—along with others under development.

How to use Py Mcp Collection?

Use the individual MCP servers by following their respective README files for installation and configuration instructions. The README provides links to each server’s detailed documentation.

Key features of Py Mcp Collection

  • Filesystem Operations: Bulk file read, preview, search, and summarization.
  • Local References: Expose project documentation as best practices.
  • MCP Oops: Wrapper to modify other MCP server behavior.
  • Doc Store Vector Search: Store and search documents in a vector store (🚧).
  • MCP Utils: Library providing utilities for MCP servers (🚧).

Use cases of Py Mcp Collection

  • Find relevant files in large codebases using bulk preview and summarization.
  • Guide AI coding assistants with project-specific “How To” guides and best practices.
  • Modify tool names, descriptions, or add pre/post hooks to existing MCP servers.
  • Store and search documentation via vector search for quick retrieval.

常见问题

1

Which MCP servers are currently ready to use?

Filesystem Operations, Local References, and MCP Oops are marked as ready (✅). Doc Store Vector Search and MCP Utils are under development (🚧).

2

What does MCP Oops do?

MCP Oops is a wrapper server that allows you to modify the behavior of another MCP server, such as limiting response sizes, hosting multiple servers on a single port, or changing tool names and descriptions.

3

What does Filesystem Operations provide?

It performs bulk file and folder operations with centralized exception handling, including reading, previewing, searching, and summarizing code and text to help find relevant files.

4

How does Local References work?

Local References enables you to expose existing documentation files in your project as “Best Practices” or “How To” guides for an AI coding assistant.

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