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Connect to a document backend to upload, retrieve, process, and track files.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Server for CAP" yet — see the docs or source repo.
Connect to MCP Server for CAP, list all pending documents sorted by upload time, and process them one by one. Return a summary of results and any failed items.
A list of pending documents, batch processing results, failure reasons, and an overall summary.
Upload this document to the CAP backend, confirm whether the upload succeeded, then retrieve its basic metadata and current processing status, and summarize them in English.
Upload confirmation, document metadata, processing status, and a brief explanation.
Get current document processing statistics from MCP Server for CAP, including total documents, pending count, and processed count, and indicate whether there is a backlog risk.
Statistics, interpretation of key metrics, and an assessment of backlog risk.
Read, edit, and summarize documents through a Claude-powered chat interface.
Convert, extract, and process documents through an MCP interface for AI assistants.
Connect AI to Google Docs for document search, reading, creation, and updates.
Run a production-ready MCP server for files, HTTP, system info, and environment tools.
Search and manage technical docs in your IDE with natural language.
Read, create, and manage documents with OCR, styling, and categorization.