Preparing your workspace…

Model Context Protocol (MCP) Integration

Connect LM Studio (local models) directly to Google Sheets

Search your Google Sheets history, sync documents, and run background agents with GreatArrow.ai's secure, zero-config Model Context Protocol (MCP) server.

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Why use GreatArrow.ai?

Instead of running local scripting proxies or dealing with complex API tokens on every machine, GreatArrow.ai handles credentials, rate limiting, and background synchronizations in a secure multi-tenant environment.

Retrieve real-time data from Google Sheets directly in your AI chat

Full security and compliance: workspace-isolated tokens, OAuth 2.1 authentication, and append-only audits

Execute complex actions and automate workflows with multi-agent coordination

Persistent, optimized semantic search (pgvector) over sync logs and documents

Google Sheets Integration

Status: Enterprise Ready

Active

Workspace-scoped access & encrypted tokens

Tokens are encrypted via AES-256-GCM. We never store raw credentials in memory or logs.

Real-Time Webhook Subscriptions

Instantly receives events from Google Sheets and streams context directly to your active AI session.

Step-by-Step Setup: Connect LM Studio (local models) to Google Sheets

Set up persistent, multi-tenant memory with LM Studio (local models) in just three quick steps.

1. Create Your Account

2. Connect your Google Sheets account

Navigate to /integrations, select Google Sheets, and approve the OAuth consent dialog. We sync updates in real-time.

Open integrations

3. Link LM Studio (local models)

Go to GreatArrow.ai/install, pick your AI, and follow the ~30-second guided connect. LM Studio (0.3.17 or newer) runs open models on your own computer and speaks MCP. Open the Program tab → Install → Edit mcp.json and merge the block below (LM Studio uses Cursor's mcp.json notation), then toggle the server on. The guided installer at https://www.greatarrow.ai/install/lm-studio supplies your workspace token; the public example keeps the placeholder. Your model keeps running locally — only the memory lookups leave the machine.

Open the installer

Snippet

{
  "mcpServers": {
    "great-arrow": {
      "url": "https://www.greatarrow.ai/api/mcp",
      "headers": {
        "Authorization": "Bearer gad_PASTE_YOUR_TOKEN",
        "X-MCP-Client": "lm-studio",
        "X-GAD-Install-Version": "2026.08.08"
      }
    }
  }
}

Frequently Asked Questions

Is my data secure?

Yes. Every query is scoped to the workspace you are signed in to, and a request for anything outside it is refused — isolation is enforced in the application on every read and write. Postgres row-level security is enabled on every workspace-scoped table as a second line, and the client-facing database roles hold no table privileges. Workspace integration credentials are encrypted at rest with AES-256-GCM.

Does this require any local installation?

It supports both methods: you can use our zero-config cloud MCP proxy, or run our lightweight CLI wrapper locally if you prefer not to open ingress ports.

Which AI clients are supported?

GreatArrow.ai exposes standard Model Context Protocol (MCP) endpoints, fully compatible with Claude Desktop, Claude Code, ChatGPT, Cursor IDE, Gemini CLI, Kiro Terminal, and more.

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