Why a read-only Google Sheets MCP is safer
Most Google Sheets integrations default to read-write, which means an agent can overwrite or delete your data. A read-only MCP server removes that risk entirely — the agent reads, queries, and analyzes, but can never change the sheet.
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Key facts
- An MCP client can only call the tools a server advertises. A server with no write tool has no write path — the safety is structural, not a setting an agent can talk its way past. source
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PasteSheet's MCP server exposes three tools —
list_tabs,get_schemaandquery_rows— and is read-only by design: an agent can query your sheet but can never modify it. -
Read-only is not read-limited:
query_rowsstill supports exact filters, partial matches, full-text search, sorting, pagination and aggregation — an agent can do real analysis, just never a write. - It needs no Google Cloud project, no OAuth consent screen and no service-account JSON. You paste a share URL, and MCP is included on the Free plan.
Read-write is powerful — and risky
Google's Sheets API, its Workspace MCP direction, and automation hubs like Zapier and Composio all default to read-write access. That is useful when you want an agent to update rows, but it also means a misfired tool call — or a prompt injection in the data itself — can overwrite, reorder, or delete cells in the source of truth.
PasteSheet takes the opposite default. Its MCP tools (list_tabs, get_schema, query_rows) are read-only and marked idempotent. There is simply no tool an agent can call to mutate the sheet.
Where read-only is the right default
- Handing a sheet to an autonomous agent you do not fully control.
- Powering a public search widget or website where the endpoint is exposed to visitors.
- Sharing reference data with a client or teammate who should read, not edit.
- Any case where the spreadsheet is the source of truth and must not drift.
Read-only, not read-limited
Read-only does not mean underpowered. The query_rows tool supports exact filters, partial matches, full-text search, sorting, pagination, and aggregation — so an agent can do real analysis, just never a write. Pair it with schema lock so a renamed column raises a clear error instead of silently breaking consumers.
New to this? Start with the Google Sheets MCP overview, or see how it differs from Google's official MCP.
What it costs
MCP is included on the Free plan. Connect any public endpoint over MCP with no Google Cloud project and no credit card. Private endpoints and the account-wide workspace server need a paid plan (from Starter ($9/mo)) for the keys and OAuth they authenticate with.
Pro adds full-text search and aggregation (count, sum, avg, group_by) that your AI agent can call through query_rows.
Starter
For indie makers shipping a real app.
- Endpoints
- 10
- Requests / mo
- 50,000
- Row cap
- 5,000
- MCP for AI agents
Frequently asked questions
Is the PasteSheet MCP connection read-only?
Yes. The exposed tools only read your sheet — list_tabs, get_schema, and query_rows. An agent can query and analyze rows but cannot add, edit, or delete anything.
Why prefer a read-only Sheets MCP?
Because it is safe to hand to an agent, embed on a public page, or share with a client. A read-write connection risks an agent overwriting your source-of-truth data.
Can I still query and filter with a read-only MCP?
Yes. query_rows supports filters, contains matches, full-text search, sorting, pagination, and aggregation, so agents can do real analysis without any write access.
Sources
- Model Context Protocol specification — Model Context Protocol
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