$ loading_
Let ChatGPT reference large local files, jobs, and resources by path.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Companion Connector MCP" yet — see the docs or source repo.
Using Companion Connector MCP, read the local log file at /var/log/app.log and summarize recent error types, then list the top 5 most frequent exception patterns.
A summary of errors, categorized exception types, and a list of the most frequent issues from the specified log file.
Use Companion Connector MCP to register and track a local long-running data processing job, and periodically report its current status and the latest log summary.
Details confirming the job is registered, its current progress, and periodic status or log summaries.
Using Companion Connector MCP, register local screenshots and log files, then help me diagnose the likely cause of this UI error without modifying any source files.
A combined analysis of the screenshots and logs with likely causes and troubleshooting suggestions, without changing source files.
When developers have large local logs, data files, or outputs, they can let ChatGPT reference those files by path instead of pasting content into chat. This is useful for working with long local context.
For builds, processing jobs, or analyses that take a long time, users can use this MCP server to manage jobs and retrieve status information. This makes it easier for AI to follow progress and summarize results.
When an issue requires both screenshots and logs, users can register these local resources for ChatGPT to reference. It is suitable for adding troubleshooting context without modifying source files.
It is a local MCP server that lets ChatGPT reference large files by path, manage long-running jobs, and register local resources such as screenshots and logs. The description also explicitly says it does not modify source files.
Based on the provided description, no. It supports referencing file paths and registering local resources, and it explicitly says it does not modify source files.
No installation guide or prerequisite details are provided here. For setup steps, runtime requirements, or key requirements, see the source repository.
Inspect and edit local projects securely with files, Git, and commands.
Securely let AI read, search, and edit local files with local LLMs.
Access, list, read, and search files in configured folders via MCP.
Build, debug, and manage software tasks with natural language across LLMs.
Let AI read, search, summarize, and answer questions about local files.
Let AI read, write, search files, and run local commands.