15 tools only read
Searching, reading items and transcripts, listing tasks and reading digests change nothing in your library.
Qind speaks the open Model Context Protocol, so your AI assistant can answer questions from your library with citations, read long documents and transcripts, manage tasks and reminders, and save notes, bookmarks and uploads without leaving the tool you already use.
Setup steps below for Claude Code, the Claude app, ChatGPT, Cursor, Codex and Gemini CLI.
Your Qind
MCP server
Your AI
35 tools: ask and read, organize, capture and upload, tasks and reminders, digests, and AI actions on an item. Every call acts as you, on your own library.
ask_qind search_items list_collection_items get_item get_item_content get_item_insights get_note_markdown get_collections list_tags set_item_tags move_item rename_item delete_item create_note edit_note create_bookmark save_clip prepare_upload complete_upload get_upload_status list_tasks create_task update_task complete_task list_reminders create_reminder update_reminder cancel_reminder list_digests get_digest get_ai_recommendations summarize_item classify_item extract_action_items create_tasks_from_item Authenticate once, then ask, search, list, and open what you saved from the MCP client you already use.
An example session; the collection names are illustrative.
Not a mockup. Here's the actual round-trip: ask your AI to save the conversation, and Qind files it as a searchable note in your library.
Your client signs in to Qind through your browser, and every call acts as you. Nothing connects until you approve it.
Searching, reading items and transcripts, listing tasks and reading digests change nothing in your library.
Notes, bookmarks, uploads, tags, tasks and reminders. Two of them delete or cancel:
delete_item and cancel_reminder.
Each tool tells your client which kind it is, so a client can ask you first.
Your library only. No tool takes a user id: each call acts as the person who signed in, so a client cannot reach anyone else’s library.
Suspicious text is flagged. Saved pages can contain instructions aimed at an AI. When Qind returns text that looks like one, it marks it for your client.
Plan limits are named. A call that would pass a plan limit fails with a code that says which, such as ITEM_LIMIT_REACHED.
No training by Qind. Qind does not train models on your content. What your AI reads is sent to that AI’s provider, under its terms.
New to Qind? MCP connects to your existing library, so create a free account first, then connect any client below.
claude mcp add --transport http qind https://mcp.qind.ai/mcp /mcp.https://mcp.qind.ai/mcp On Team and Enterprise plans an organization owner adds the connector first. How many custom connectors a plan allows is set by Anthropic.
https://mcp.qind.ai/mcp ChatGPT cannot upload a file to Qind; uploads need a client that can make an HTTP upload.
~/.cursor/mcp.json for every project, or to .cursor/mcp.json in one project.{
"mcpServers": {
"qind": {
"url": "https://mcp.qind.ai/mcp"
}
}
} codex mcp add qind --url https://mcp.qind.ai/mcp codex mcp login qind ~/.codex/config.toml yourself, then run the login command.[mcp_servers.qind]
url = "https://mcp.qind.ai/mcp" -s user to use it in every project.gemini mcp add --transport http qind https://mcp.qind.ai/mcp ~/.gemini/settings.json. Use httpUrl, not url: url means the older SSE transport.{
"mcpServers": {
"qind": {
"httpUrl": "https://mcp.qind.ai/mcp"
}
}
} /mcp auth qind and sign in to Qind in the browser.Sign-in opens a browser on the same machine, so it does not work over a plain SSH session.
Every client connects to Qind's hosted server at https://mcp.qind.ai/mcp and signs in
with OAuth in your browser. There is nothing to install or run locally.
Other clients. VS Code, Windsurf, Cline and Zed can connect to remote MCP servers, but their sign-in with Qind is not tested yet. A client that supports remote servers over Streamable HTTP, with OAuth sign-in and dynamic client registration, can use the same URL.
Each one uses tools from the list above. Your client decides which to call; these are the ones it usually picks.
“Search my Qind library for what I saved about pricing and tell me what we decided.”
search_itemsget_item_insightsask_qind
“Save this conversation to Qind as a note called 'Launch plan decisions' in my Product research collection.”
get_collectionscreate_note
“Read the transcript of my last customer call and list the action items. I will pick which become tasks.”
search_itemsget_item_contentextract_action_itemscreate_tasks_from_item
“What is due this week? Remind me tomorrow at 9 about the contract task.”
list_taskscreate_reminder
“Tag everything I saved about pricing with 'pricing', and tell me where Qind suggests filing my newest bookmark.”
search_itemsset_item_tagsclassify_item
Building an agent? The Qind for AI agents page lists every tool, the sign-in flow, errors and limits in Markdown.
Connect Qind once. Then search, capture, and organize from the AI client you already keep open.