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Securely read, edit, search, and run code in local projects.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "DevSpace" yet — see the docs or source repo.
Search the current local project for all code related to user authentication, list the results by file, and summarize what each part does.
A list of relevant files and match locations, plus a brief explanation of the authentication logic.
Please standardize the log output format in this project, update the relevant files directly, and explain what you changed.
The code is updated, with a summary of changes and the affected files.
After I approve, run this local project's tests or start command, then summarize the output errors and suggest possible fixes.
A summary of command output, error messages, and suggested fixes after execution.
When developers need to quickly find relevant code in a local project, they can use it to search and read files to locate the source of an issue. It is suited for analyzing and troubleshooting within an existing codebase.
When you want to directly adjust implementation details in a local project, it can edit code files through an owner-approved connection. This reduces manual copy-pasting and speeds up changes.
For cases that require executing code, tests, or related commands, it can run code in a local project and return the results to ChatGPT. It is positioned as self-hosted with an emphasis on secure connection control.
It is a self-hosted MCP server that lets ChatGPT securely read, edit, search, and run code in local projects through an owner-approved connection.
Based on the provided description, it works with your local project code and supports reading, editing, searching, and running code. For more specific scope and permission details, see the source repository.
The provided information shows that it is self-hosted and accesses local projects through an owner-approved connection. In other words, it emphasizes local code access and connection approval rather than a purely cloud-hosted approach.
Securely connect ChatGPT to your local machine for code access and execution.
Let LLMs securely use local development tools via MCP.
Enable AI assistants to analyze, edit, search, and review software projects.
Search repositories semantically and turn codebases into AI-ready context and knowledge.
Manage SaaS planning, operations, and secrets securely from a local MCP server.
Inspect and edit local projects securely with files, Git, and commands.