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Enable AI agents to manage files, search text, process images, and run OCR.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "fsext-mcp-server" yet — see the docs or source repo.
Scan all .env and .yaml files in the project, find the old API_BASE_URL, replace it with https://api.new.example.com, and list modified files with a summary of changes.
A replacement report with affected files and a summary of edits for each file.
Run OCR on all PNG and JPG images in the invoices folder, extract the text into matching TXT files by filename, and create a combined summary table.
Text extracted per file, plus a consolidated table of key information.
Resize images in assets/products so the longest side is 1200 pixels, convert them to WebP, preserve the original folder structure, and output lists of successful and failed files.
Processed image files and an execution report listing successes, failures, and reasons.
Lets AI manage files, search content, archive data, hash, and detect duplicates.
Use MCP for file operations and text generation with OpenAI-compatible models.
Securely lets AI browse, search, and understand local project files.
Batch-manage files, inspect project structure, and run commands for faster workflows.
Enhanced filesystem MCP tool for searching, reading, editing, deleting, and running commands.
Safely read, write, search, and manage files in a sandboxed environment.