MCP Server Usage

Memoreru MCP Server

The Memoreru MCP server lets you interact with Memoreru data directly from AI tools like Claude Desktop and Cursor.

What is MCP?

MCP (Model Context Protocol) is a standard protocol for AI assistants to access external service data. By configuring the Memoreru MCP server, you can read and write Memoreru content within AI conversations.

Requirements

The MCP server is available on Light plans and above. It's also available during the Feature Trial period. You need to generate an API key first.

Setup

1. Get an API Key

Generate an API key from Settings > Security under the "API Keys" card. The key is a string starting with mk_.

2. Configure the MCP Server

Add the following connection info to your AI tool's configuration file.

Connection info:

Item	Value
URL	`https://memoreru.com/api/mcp`
Auth header	`Authorization: Bearer mk_your_api_key`

Configuration file locations:

Tool	Configuration file
Claude Desktop	`claude_desktop_config.json`
Cursor	Settings > MCP
Claude Code	`.mcp.json` (project root)
VS Code	`settings.json`

Example (Claude Desktop / Cursor):

{
  "mcpServers": {
    "memoreru": {
      "url": "https://memoreru.com/api/mcp",
      "headers": {
        "Authorization": "Bearer mk_your_api_key"
      }
    }
  }
}

Claude Code and VS Code require "type": "http". VS Code uses the "mcp" > "servers" hierarchy.

3. Verify

After configuration, restart your AI tool and try asking "Show me my Memoreru content list."

Available Tools

The MCP server provides 15 tools.

Content Operations (5 tools)

Tool	Description
`create_contents`	Create content (table, page, slide, folder, view, graph, dashboard)
`read_contents`	Get content. Specify ID for detail, omit for list (with filtering and sorting)
`update_contents`	Update title, description, scope. Add, update, or delete columns
`delete_contents`	Delete content (irreversible)
`count_contents`	Get content counts (by scope)

Table Operations (10 tools)

Tool	Description
`create_columns`	Add columns to a table (single or bulk)
`read_columns`	Get column definitions for a table
`update_columns`	Update column definitions
`delete_columns`	Delete specified columns from a table (column IDs required)
`create_rows`	Create rows (1 to 100). Specify columns by display name
`read_rows`	Get rows. Specify row ID for detail, omit for list (with filtering, sorting, search)
`update_rows`	Update rows (1 to 100). Specify columns by display name
`delete_rows`	Delete rows (1 or more)
`count_rows`	Get the total number of rows in a table
`upsert_rows`	Update if match found, create otherwise (1 to 100)

Tool Details

create_contents

Create new content. For tables, column definitions can be set simultaneously. For views, graphs, and dashboards, settings can also be configured.

Parameter	Type	Required	Description
`title`	string	Yes	Title
`content_type`	string	Yes	Type (table, page, slide, folder, view, graph, dashboard)
`scope`	string	-	Visibility (public, private). Default: private
`description`	string	-	Description text
`columns`	array	-	Column definitions (table only: name, type, required, options)
`settings`	object	-	Type-specific settings (required for view, graph, dashboard)

read_contents

Get content. Specify content_id for detail, omit for a list.

Parameter	Type	Required	Description
`content_id`	string	-	Content ID (specify for detail, omit for list)
`content_type`	string	-	Filter by type (table, page, slide, graph, dashboard, folder)
`scope`	string	-	Scope (public, private, all). Default: private
`search`	string	-	Keyword search
`page`	number	-	Page number
`limit`	number	-	Items per page (default: 20)
`sort`	string	-	Sort field (created_at, updated_at, title)
`order`	string	-	Sort order (asc, desc)

create_rows

Get table rows. Specify row_id for a single row detail, omit for a list.

Parameter	Type	Required	Description
`table_id`	string	Yes	Table content ID
`row_id`	string	-	Row ID (specify for detail, omit for list)
`page`	number	-	Page number
`limit`	number	-	Items per page (default: 100, max: 500)
`q`	string	-	Text search query
`filters`	array	-	Filter conditions (AND logic)
`sorts`	array	-	Sort configuration (ordered by priority)

Filter format:

[
  {
    "columnId": "column_id",
    "columnType": "checkbox",
    "operator": "eq",
    "value": false
  }
]

Supported operators: eq, neq, like, in, notIn, gt, gte, lt, lte, between, null, notNull, contains, notContains, startsWith, endsWith

Sort format:

[
  { "columnId": "column_id", "order": "asc" }
]

read_rows

Get table rows. Specify row_id for a single row detail, omit for a list.

Parameter	Type	Required	Description
`table_id`	string	Yes	Table content ID
`row_id`	string	-	Row ID (specify for detail, omit for list)
`page`	number	-	Page number
`limit`	number	-	Items per page (default: 100, max: 500)
`q`	string	-	Text search query
`filters`	array	-	Filter conditions (AND logic)
`sorts`	array	-	Sort configuration (ordered by priority)

Filter format:

[
  {
    "columnId": "column_id",
    "columnType": "checkbox",
    "operator": "eq",
    "value": false
  }
]

Supported operators: eq, neq, like, in, notIn, gt, gte, lt, lte, between, null, notNull, contains, notContains, startsWith, endsWith

Sort format:

[
  { "columnId": "column_id", "order": "asc" }
]

update_rows

Update table rows.

Parameter	Type	Required	Description
`table_id`	string	Yes	Table content ID
`updates`	array	Yes	Array of updates, each with `row_id` and `cells` (column display name to value). Max 100

delete_rows

Delete rows from a table.

Parameter	Type	Required	Description
`table_id`	string	Yes	Table content ID
`row_ids`	array	Yes	Array of row IDs to delete

upsert_rows

Search for a row by column value. Update if found, create if not. Supports single and bulk operations.

Parameter	Type	Required	Description
`table_id`	string	Yes	Table content ID
`match_column`	string	Yes	Column for matching (display name or ID)
`items`	array	Yes	Array of upsert items, each with `match_value` and `cells`. Max 100

The response action field returns "created", "updated", or "unchanged".

Convenience Features

Column Display Name Support

When creating or updating rows, you can use column display names instead of IDs.

Specify like "Task Name": "Create shopping list"

Names are automatically converted to column IDs internally.

Supported Data Types

Tables support 30 column data types.

Basic: string, number, checkbox
Selection: select, radio, multi_select
Date/Time: date, datetime, time
Text: markdown, rich_text, url
Calculation: formula, rating, progress
Reference: rollup, location, image
Media: audio, video, file
Organization (paid): user_select, team_select, dept_select
Embedded (paid): sub_table, embed, qr_code
Special (paid): auto_number, drawing, button
Virtual: mirror

Usage Examples

Create a table:

"Create a 'Reading Log' table in Memoreru with columns: Title (string), Author (string), Date Read (date), Rating (rating)"

Check table data:

"Show me incomplete tasks from the task management table"

Add data:

"Add a new task to the task management table. Title: XX, Assignee: YY"

Bulk add data:

"Add these 3 books to the reading log table: ..."

Update data:

"Change the status of task ID 5 in the task table to complete"

Conditional update (upsert):

"In the task table, if there's a task named 'Weekly Report', update its deadline to next Friday. If not, create it"

Search content:

"Search Memoreru for content about 'meetings'"

Filtered listing:

"Show me only 'In Progress' items from the project table, sorted by priority"