{
  "readwise": {
    "type": "http",
    "url": "https://mcp2.readwise.io/mcp"
  }
}

reader_search_documents(query="spaced repetition")

# Search articles saved for later
reader_search_documents(query="machine learning", category_in=["article"], location_in=["later", "shortlist"])

# Search by author
reader_search_documents(query="AI agents", author_search="Simon Willison")

# Search within a date range
reader_search_documents(query="transformers", published_date_gt="2024-01-01")

# Search by tags
reader_search_documents(query="productivity", tags_in=["research"])

# List 10 most recent inbox items with minimal fields
reader_list_documents(location="new", limit=10, response_fields=["title", "author", "summary", "word_count", "category", "saved_at"])

# Archived articles with a specific tag
reader_list_documents(location="archive", tag=["research"], category="article")

# Unseen inbox items
reader_list_documents(location="new", seen=false)

# RSS feed items
reader_list_documents(location="feed", limit=20, response_fields=["title", "author", "summary", "site_name"])

# Get a specific document by ID
reader_list_documents(id="<document_id>")

# Paginate through results
reader_list_documents(location="later", limit=10, page_cursor="<cursor_from_previous_response>")

# Get full document details including Markdown content
reader_get_document_details(document_id="<id>")

# Get all highlights on a document
reader_get_document_highlights(document_id="<id>")

# Create a highlight — html_content must match the document's HTML exactly
# Get the HTML via reader_list_documents with response_fields=["html_content"]
reader_create_highlight(document_id="<id>", html_content="<p>The exact passage to highlight</p>")

# Highlight with a note and tags
reader_create_highlight(document_id="<id>", html_content="<p>Key insight</p>", note="Connects to spaced repetition", tags=["review", "concept"])

# Save a URL — Reader scrapes it automatically
reader_create_document(url="https://example.com/article")

# Save with metadata and tags
reader_create_document(url="https://example.com", title="Great Article", tags=["research", "ai"], notes="Recommended by Alice")

# Save raw Markdown content (provide a unique URL as identifier)
reader_create_document(title="Meeting Notes", markdown="# Notes from today...", url="https://me.com#notes-march-2025")

# Move documents between locations (max 50 per call)
reader_move_documents(document_ids=["<id1>", "<id2>"], location="archive")

# Bulk mark documents as seen
reader_bulk_edit_document_metadata(documents=[{"document_id": "<id>", "seen": true}])

# Bulk update metadata
reader_bulk_edit_document_metadata(documents=[{"document_id": "<id>", "title": "Better Title", "tags": ["ai", "research"]}])

# List all tags
reader_list_tags()

# Add tags to a document
reader_add_tags_to_document(document_id="<id>", tag_names=["important", "research"])

# Remove tags from a document
reader_remove_tags_from_document(document_id="<id>", tag_names=["old-tag"])

# Add tags to a highlight
reader_add_tags_to_highlight(document_id="<id>", highlight_document_id="<hid>", tag_names=["concept"])

# Remove tags from a highlight
reader_remove_tags_from_highlight(document_id="<id>", highlight_document_id="<hid>", tag_names=["old-tag"])

# Set notes on a highlight (pass null to clear)
reader_set_highlight_notes(document_id="<id>", highlight_document_id="<hid>", notes="My updated note")

# Export all documents as a ZIP of Markdown files (async — returns export_id)
reader_export_documents()

# Delta export — only docs updated since last export
reader_export_documents(since_updated="2024-01-01T00:00:00Z")

# Poll for completion
reader_get_export_documents_status(export_id="<id>")

# Semantic search across all highlights
readwise_search_highlights(vector_search_term="learning techniques")

# Search with full-text filter on a specific field
readwise_search_highlights(vector_search_term="memory", full_text_queries=[{"field_name": "document_title", "search_term": "psychology"}])

# List 20 most recent highlights
readwise_list_highlights(page_size=20)

# Highlights from a specific book
readwise_list_highlights(book_id=12345)

# Highlights from the last month
readwise_list_highlights(highlighted_at_gt="2025-02-01T00:00:00Z")

# Paginate
readwise_list_highlights(page_size=100, page=2)

# Create a highlight (matched to a book by title/author, or goes into "Quotes")
readwise_create_highlights(highlights=[{"text": "The key insight here", "title": "Book Title", "author": "Author Name"}])

# Create multiple highlights at once
readwise_create_highlights(highlights=[{"text": "First quote", "title": "Book A"}, {"text": "Second quote", "title": "Book B", "note": "Great point"}])

# Update a highlight
readwise_update_highlight(highlight_id=12345, note="New note", add_tags=["concept", "review"], color="blue")

# Delete a highlight
readwise_delete_highlight(highlight_id=12345)

# Get today's spaced repetition review
readwise_get_daily_review()

reader_list_documents(location="new", limit=10, response_fields=["title", "author", "summary", "word_count", "category", "saved_at"])
reader_get_document_details(document_id="<id>")
reader_move_documents(document_ids=["<id>"], location="later")     # worth reading
reader_move_documents(document_ids=["<id>"], location="archive")   # skip

reader_search_documents(query="spaced repetition")
readwise_search_highlights(vector_search_term="spaced repetition")

reader_list_documents(location="archive", limit=10, response_fields=["title", "author", "summary", "word_count"])
reader_get_document_details(document_id="<id>")
reader_get_document_highlights(document_id="<id>")

reader_list_documents(location="feed", limit=20, response_fields=["title", "author", "summary", "word_count", "site_name"])
reader_bulk_edit_document_metadata(documents=[{"document_id": "<id1>", "seen": true}, {"document_id": "<id2>", "seen": true}])
reader_move_documents(document_ids=["<id>"], location="later")

reader_create_document(url="https://example.com/article", tags=["research"])
reader_create_highlight(document_id="<id>", html_content="<p>Key passage here</p>", note="This connects to...")
reader_add_tags_to_document(document_id="<id>", tag_names=["important"])

reader_list_documents(location="archive", updated_after="2025-03-10T00:00:00Z", response_fields=["title", "author", "word_count", "reading_progress"])
reader_get_document_highlights(document_id="<id>")
readwise_list_highlights(highlighted_at_gt="2025-03-10T00:00:00Z", page_size=50)