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Save bookmarks and semantically search URLs with intelligent metadata retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-bookmark" yet — see the docs or source repo.
Save the following pages to the "Competitor Research" bookmark collection with title, source, tags, and summary metadata: 1) https://example.com/a about pricing strategy; 2) https://example.com/b about user growth. Then find the bookmarks most related to "free trial to paid conversion."
Returns bookmark save results and the most relevant links from semantic search with summaries, tags, and match reasons.
Search the "Developer Docs" collection for bookmarks related to "OAuth callback URL misconfiguration," prioritizing results with troubleshooting steps and official documentation, sorted by relevance.
Returns a ranked list of relevant bookmarks including URLs, titles, summaries, and recommended first reads.
Search across all bookmark collections for content semantically closest to "user interview question template." If multiple results are found, group and summarize them under "research methods," "interview scripts," and "survey design."
Returns matched bookmarks across collections, grouped by theme with links, summaries, and usage recommendations.
Save, search, and organize bookmarks with tags and read status.
Save, tag, and search bookmarks locally with natural language commands.
Manage local bookmarks via MCP by listing, adding, and searching saved links.
Manage Safari bookmarks via MCP to search, add, remove, and organize folders.
Turn local notes into a private searchable knowledge base for AI assistants.
Help AI coding agents search curated development bookmarks for better decisions.