MCP Tools Reference¶

The MCP server provides 9 tools for document ingestion, search, and AI Q&A.

Available Tools¶

Tool	What it does
`get_system_status()`	Verify setup and database connections
`ingest_documents()`	Process documents from any of the 13 data sources
`ingest_text(content, source_name)`	Ingest and analyze specific text content
`search_documents(query, top_k)`	Hybrid search — find relevant document excerpts
`query_documents(query, top_k)`	AI-powered Q&A over your document corpus
`test_with_sample()`	Quick system verification with built-in sample content
`check_processing_status(id)`	Track long-running async ingestion tasks
`get_python_info()`	Python environment diagnostics
`health_check()`	Verify backend API connectivity

Source	Key Config Fields
`filesystem`	`paths` — list of file or directory paths
`alfresco`	`base_url`, `username`, `password`, `paths`; also `nodeDetails` for KG Spaces
`cmis`	`cmis_url`, `username`, `password`, `paths`
`s3`	`bucket`, `aws_access_key_id`, `aws_secret_access_key`, `region`
`azure_blob`	`connection_string`, `container_name`
`gcs`	`bucket_name`, `credentials_path`
`onedrive`	`client_id`, `client_secret`, `tenant_id`
`google_drive`	`credentials_path`, `folder_id`
`sharepoint`	`client_id`, `client_secret`, `tenant_id`, `site_url`
`box`	`client_id`, `client_secret`, `folder_id`
`web`	`urls` — list of web page URLs
`wikipedia`	`titles` — list of article titles
`youtube`	`urls` — list of YouTube video URLs

All sources support skip_graph: true to skip knowledge graph extraction (vector + search only).