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# Search notes

> Find bullets and documents by text, like the global search, with each result's parent path. Input schema, a tools/call example and an example result.

Source: https://cotlet.dev/docs/mcp/remnote/search_notes

Docs sections: [Get started](https://cotlet.dev/docs.md) · [REST API](https://cotlet.dev/docs/api.md) · [MCP](https://cotlet.dev/docs/mcp.md) · [SDKs & CLI](https://cotlet.dev/docs/sdks.md) · [Integrations](https://cotlet.dev/docs/integrations.md)

Find bullets and documents by text, like the global search, with each result's parent path.

RemNote MCP tools: https://cotlet.dev/docs/mcp/remnote.md

MCP tool: `remnote_read → search_notes`

Access: read.

Searches the open knowledge base the way the Ctrl+P global search does and returns matching bullets with the document they live in and their ancestors. Pass tag to keep only bullets tagged with it, and parent_id to search inside one section only, like hierarchical search. Pass document_id from a result to get_document.

## Parameters

| Name | Type | Required | Description |
|---|---|---|---|
| `query` | string | yes | Text to search for. |
| `tag` | string | no | Only bullets tagged with this tag. |
| `parent_id` | string | no | Only inside this document or bullet. |
| `limit` | integer | no | 1 to 50. Default: 20. |
| `cursor` | string | no | Next page cursor from the previous call. |

## tools/call

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "remnote_read",
    "arguments": {
      "operation": "search_notes",
      "arguments": {
        "query": "query"
      }
    }
  }
}
```

## Example response

```json
{
  "content": [
    {
      "type": "text",
      "text": "{ ... same JSON as structuredContent ... }"
    }
  ],
  "structuredContent": {
    "results": [
      {
        "document_id": "rem_8f21a0",
        "text": "Krebs cycle",
        "is_document": true,
        "path": [
          "Biology",
          "Cell metabolism"
        ]
      },
      {
        "document_id": "rem_2c77e1",
        "text": "Citrate is the first product of the cycle",
        "is_document": false,
        "path": [
          "Biology",
          "Cell metabolism",
          "Krebs cycle"
        ]
      }
    ],
    "next_cursor": null
  },
  "isError": false
}
```

Next: [Get document](https://cotlet.dev/docs/mcp/remnote/get_document.md)

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## For AI agents: sign your user up

Is your user asking you to sign them up for Cotlet? You can do it for them, no account or key needed.

1. Read the fields and their allowed values: GET https://cotlet.dev/api/v1/access-requests
2. Ask the user for each value: email, apps, what you will do with them. If they leave the password to you, generate a strong one and show it to them.
3. Show the user what you will send, then POST it as JSON to https://cotlet.dev/api/v1/access-requests.

One call creates the account and sends the access request; we email the user when access is granted.