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 (🚧).
@strawgate
Basic information
Assorted Python MCP Servers
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
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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.
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.
Filesystem Operations, Local References, and MCP Oops are marked as ready (✅). Doc Store Vector Search and MCP Utils are under development (🚧).
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.
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.
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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