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  1. Home
  2. πŸ—„οΈ Databases
  3. Spreadsheet DB
Spreadsheet DB logo
Health: ActiveRecent health check succeeded.Last checked 10/4/2026, 8:16:36 AM

Spreadsheet DB

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View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
sqlitegoogle-sheetstypescriptdatabases

Typed SQLite entity storage with optional asynchronous Google Sheets projection for review and collaboration.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
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We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "spreadsheet-db": {
      "command": "npx",
      "args": [
        "-y",
        "hikoutei"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ—„οΈ More in Databases

Overview

Spreadsheet DB MCP server provides typed entity storage backed by local SQLite, with optional asynchronous projection to Google Sheets. Applications read and write SQLite without waiting for Sheets, while committed changes are synchronized in the background. Reach for it when an MVP needs a local authoritative database and a human-facing spreadsheet view, rather than raw Sheets API access. The provided material does not document an MCP transport or client-specific setup.

Use cases

β€’Define typed entities for a local SQLite-backed MVP
β€’Project committed records to a Google Sheets review view
β€’Poll human spreadsheet edits into the local database
β€’Detect conflicting or structurally changed Sheet data

Key features

β€’Typed entity API for TypeScript applications
β€’SQLite-authoritative local reads and writes
β€’Asynchronous Google Sheets projection
β€’Conflict-aware Sheet synchronization
β€’Durable retry and deduplication flow
β€’Duplicate-header and column-change detection

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Spreadsheet DB.

Extracted Tool Capabilities
Typed entity API for TypeScript applications
SQLite-authoritative local reads and writes
Asynchronous Google Sheets projection
Conflict-aware Sheet synchronization
Durable retry and deduplication flow
Duplicate-header and column-change detection

How Spreadsheet DB works

What Spreadsheet DB MCP server does

Hikoutei provides a typed entity layer over local SQLite and can publish committed changes to Google Sheets asynchronously. Applications define entities with scalar properties such as strings, numbers, booleans, and primary keys, then use a request-local manager to create, update, query, and remove records.

The Spreadsheet DB MCP server uses SQLite as the application authority. Google Sheets is a secondary view for inspection, operational work, and lightweight collaboration. Normal application reads and writes stay local, so they do not wait for network calls to Sheets. The library also checks for unexpected column changes and duplicate headers, and it avoids silently replacing newer spreadsheet edits during conflicts.

How it works

A configured database file stores the entity data locally. Changes are committed to SQLite first, then placed into an asynchronous synchronization flow that projects them to Google Sheets. The documented flow includes an outbox, delivery handling, retries, deduplication, and conflict processing.

Edits made by people in the spreadsheet are brought back through polling. Accepted changes enter SQLite; conflicting changes are recorded instead of being silently overwritten. This arrangement keeps the application path independent from Sheets availability while retaining a human-readable operational view.

The design is intended for typed TypeScript applications. It sits above lower-level packages such as google-spreadsheet and @googleapis/sheets, rather than replacing their full spreadsheet APIs.

Setup and configuration

Install the package with its documented MikroORM dependencies:

Terminal
npm install hikoutei @mikro-orm/core @mikro-orm/sql

Creating the local store does not require Google Cloud configuration. Initialize a database with createTypedSheets, provide a SQLite file path, and register entity definitions. Use a forked entity manager for request-local operations, then persist changes and call flush().

To enable Sheets projection, install the gcloud CLI and run npx hikoutei setup. The interactive command creates a Cloud project, service account, key, and spreadsheet, then writes environment configuration. Synchronization is enabled when HIKOUTEI_SYNC_SPREADSHEET_URL is present; without it, the setup remains local-only. The repository also points to separate guidance for credential pools, quotas, and manual configuration.

Tools and capabilities

The Spreadsheet DB MCP server’s documented capabilities include:

  • Defining typed entities and scalar properties.
  • Creating, finding, updating, and removing records through a local entity manager.
  • Persisting transactions to SQLite with immediate local commits.
  • Projecting committed changes to Google Sheets asynchronously.
  • Polling Sheet edits and handling accepted changes or conflicts.
  • Detecting duplicate headers and unexpected column changes.
  • Retrying and deduplicating synchronization work.

Limitations and notes

The Spreadsheet DB MCP server is not a raw Google Sheets wrapper, a replacement for PostgreSQL, or an authoritative spreadsheet database. Direct row and cell manipulation is limited compared with the underlying Google Sheets clients, and full Sheets API access remains the provider’s responsibility.

The supplied material describes a TypeScript library and does not specify an MCP transport, named MCP tools, or compatibility requirements for clients such as Cursor or Claude Desktop. Those details should be verified before treating the project as a conventional MCP server integration.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
npm downloads
28k
Package downloads in the last 30 days.
Last commit
9d ago
Most recent push to the default branch.

Reviews

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Frequently Asked Questions about Spreadsheet DB

Spreadsheet DB is an MCP server that connects typed local SQLite entity storage with an asynchronous Google Sheets projection. Its main capabilities are defining entities, creating and querying records, persisting updates, removing records, and synchronizing committed changes. SQLite remains authoritative, while Sheets provides inspection, operations, and lightweight collaboration.

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Technical Specs & Signals

CategoryπŸ—„οΈDatabases
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
LicenseMIT
Last updatedOct 6, 2026
5/5 checks healthy over the last 43d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit9d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 30, 2026
npm downloads28,967/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
45Quality signal: Fair Β· 45/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity8/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Scanned 4d ago via OSV.dev Β· hikoutei (npm)

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