PluggedinMCP

Get started with Plugged.in MCP - shows setup instructions and API key configuration (no API key required)

Triggers discovery of tools (and resources/templates) for configured MCP servers in the Pluggedin App.

Ask questions and get AI-generated answers from your knowledge base. Returns structured JSON with answer, document sources, and metadata.

Create and save AI-generated documents to the user's library in Plugged.in (requires API key)

List documents with filtering options from the user's library (requires API key)

Search for specific documents in your library. Returns document metadata (ID, title, snippet). To retrieve full content, use pluggedin_get_document with the returned document ID.

Retrieve a specific document's full content by ID. Use this after pluggedin_search_documents to get the complete content of documents you found. Set includeContent=true to get the full text.

Update or append to an existing AI-generated document (requires API key)

Send custom notifications through the Plugged.in system with optional email delivery. You can provide a custom title or let the system use a localized default.

List notifications from the Plugged.in system with optional filters for unread only and result limit

Mark a notification as done in the Plugged.in system

Delete a notification from the Plugged.in system

Set a clipboard entry by name (semantic key) or index (array-like). Named entries are upserted; indexed entries fail if index exists. Max 2MB per entry.

Get clipboard entries. Specify name or idx for a single entry, or omit both to list all entries with pagination.

Delete clipboard entries by name, index, or clear all entries.

List all clipboard entries with metadata. Image values are truncated to first 1000 chars for preview.

Push a value to the indexed clipboard with auto-incrementing index. Useful for building ordered pipelines or stack-like operations.

Pop the highest-indexed entry from the clipboard (LIFO behavior). Returns the entry value and removes it.

Start a new memory session to begin capturing observations. Returns a session UUID and memory_session_id for subsequent operations.

End a memory session and trigger Z-report generation (AI-compressed session summary).

Record an observation during a memory session. Observations are classified by the Analytics Agent into memory ring types (procedures, practice, longterm, shocks).

Search memories using semantic similarity. Returns lightweight results (50-150 tokens each) for token-efficient progressive disclosure. Use pluggedin_memory_details for full content.

Get full details for selected memories (progressive disclosure Layer 3). Use after pluggedin_memory_search to retrieve complete content for specific memories.