To use Google Cloud database tools through the Model Context Protocol (MCP), choose the remote MCP server for your specific service, configure an MCP-compatible client to connect to that endpoint, and authenticate an identity with only the IAM permissions the agent needs. There is no single endpoint or shared toolset for every Google database. This guide walks through Cloud SQL for PostgreSQL and AlloyDB; use Google Cloud’s supported-products directory to find the current reference for other services.
Which Google database MCP server should I use?
Choose by the Google Cloud service that hosts the data, not just by the fact that the database uses SQL. Google documents separate remote MCP servers for supported products, and their endpoints, available tools, authentication, and limitations can differ. The endpoints below are those documented in the Google Cloud references accessed October 4, 2026; confirm the current service reference before deploying a client.
| Service | Endpoint and transport | Authentication and scope | Important qualification |
|---|---|---|---|
| Cloud SQL for PostgreSQL | https://sqladmin.googleapis.com/mcp; remote HTTP endpoint |
Cloud SQL API enablement and IAM authorization; specialized toolsets include a read-only endpoint | The endpoint’s toolset controls what tools are exposed, while IAM controls what the authenticated principal may do. |
| AlloyDB | https://alloydb.googleapis.com/mcp; Streamable HTTP |
OAuth 2.0 with IAM; API keys are not accepted | Google documents regional endpoints as Preview. Its documentation also notes response-size and PostgreSQL-version limitations described below. |
Google’s supported-products directory also lists BigQuery, Spanner, Firestore, Bigtable, and other services. Their presence in the directory does not mean they use either endpoint in this table; follow the product-specific endpoint and setup reference.
How does a remote database MCP server differ from a local one?
A Google remote MCP server runs on Google infrastructure and is reached over HTTP. A local MCP server typically runs on the same device as the client and communicates over standard input/output (stdio). These are different deployment patterns, not interchangeable endpoint values.
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Google describes managed remote servers as providing fine-grained authorization, centralized audit logging, and optional prompt and response security with Model Armor. Its Cloud SQL documentation compares these controls with the local MCP Toolbox for Databases. These controls can improve governance, but they do not remove the need to scope IAM, review agent behavior, and protect data returned to the client.
How do I connect an MCP client to Cloud SQL for PostgreSQL?
The following is a service-specific setup path for Cloud SQL for PostgreSQL. The endpoint is not a generic Google database URL. Configure your chosen MCP-compatible application using its current instructions for remote HTTP servers; application configuration fields and authentication flows can vary.
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- Enable the Cloud SQL for PostgreSQL API. Google documents the remote MCP server as enabled when this API is enabled. Make sure the project and Cloud SQL instance you intend to use are the ones selected for setup.
- Choose the endpoint and toolset. Use
https://sqladmin.googleapis.com/mcpfor the general Cloud SQL endpoint. For the documented read-only set, usehttps://sqladmin.googleapis.com/mcp/readonly. - Authenticate the client. Sign in or configure the identity mechanism supported by your MCP client and Google Cloud environment. The client must make MCP calls as the principal whose IAM permissions you have reviewed.
- Grant the minimum required IAM permissions. Google identifies
roles/mcp.toolUserfor making MCP tool calls, with additional task-specific roles and permissions for operations such as SQL execution, instance management, secret access, and viewing resources. Select permissions for the intended actions rather than granting a broad administrative role for a read-only workflow. - Add the remote server to the client. Enter the Cloud SQL endpoint and complete the client’s authentication setup. Do not assume every client uses the same configuration format or supports identical remote-server features.
- Verify the exposed tools and allowed actions. Ask the client to list the server’s available tools, then test a low-risk operation appropriate to the granted permissions. Confirm that the client cannot perform actions outside the intended scope.
Cloud SQL read-only endpoint
Google documents these tools at https://sqladmin.googleapis.com/mcp/readonly:
get_instanceandlist_instancesfor instance details and discovery.list_usersfor user discovery.execute_sql_readonlyfor read-only SQL execution.get_operationfor operation status.postgres_upgrade_precheckfor a PostgreSQL upgrade precheck.
A read-only endpoint narrows the tools offered by that endpoint, but it is not a substitute for IAM. The authenticated principal still needs appropriate permissions, and IAM remains the authorization boundary for its actions.
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Client configuration: use the client’s supported remote-server fields
There is no single client configuration file format established for all MCP applications. In the client’s remote MCP server settings, select the transport and authentication method it supports, then enter the exact Cloud SQL endpoint above. Avoid copying a stdio configuration example into a remote HTTP setup: stdio expects a local process, while this Google server is remote. Google’s Cloud SQL guide names Gemini CLI, ChatGPT, Claude, and custom applications as client examples, but their interfaces and supported capabilities may change.
How is AlloyDB configured?
For AlloyDB, configure an MCP client for Streamable HTTP at https://alloydb.googleapis.com/mcp, then authenticate with OAuth 2.0 and IAM. Google’s AlloyDB guide says API keys are not accepted. Google recommends a separate identity for agents so access can be controlled and monitored independently of a person’s everyday identity.
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Grant that identity only the permissions required for the tools and data it needs. Do not copy Cloud SQL endpoint or tool assumptions into AlloyDB configuration: Google documents these as separate product servers. Regional AlloyDB endpoints are Preview, so check current availability and status before relying on one in production.
AlloyDB limitations to check
- Google’s AlloyDB MCP documentation says responses larger than 10 MB might be truncated. Avoid requesting unnecessarily large result sets, and use pagination or narrower queries where available.
execute_sql_read_onlyis documented as supported only for PostgreSQL 17 and later. Verify the database engine version and current service documentation before depending on this tool.
How should I scope access safely?
Treat tool exposure and IAM authorization as two separate controls. The server endpoint determines which tools the client can discover; IAM determines what the authenticated identity is allowed to do. A read-only endpoint is useful for reducing the available surface, but it does not make an overprivileged identity least-privileged.
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- Create or select a dedicated identity for an agent, particularly for AlloyDB, where Google recommends a separate identity.
- Start from the task: read instance metadata, run read-only queries, manage instances, or access secrets. Grant only the task-specific roles and permissions documented for those actions.
- Use Cloud SQL’s read-only toolset when write-capable tools are not required, and still review the identity’s IAM grants.
- Review audit records and outputs as part of operating the integration. Google documents centralized audit logging for managed remote MCP servers.
- Consider the documented optional Model Armor prompt and response security for managed remote servers where appropriate; it is an additional control, not a replacement for IAM or application-level review.
How do I verify the connection?
- Confirm the correct Google Cloud product and project are selected.
- Confirm the product API is enabled where required; for Cloud SQL, enable the Cloud SQL for PostgreSQL API.
- Check that the MCP client uses the exact product endpoint and a compatible remote transport.
- Authenticate as the intended identity, not an accidentally broader personal or administrative account.
- Check the identity’s IAM permissions against the operations the agent will perform.
- Inspect the tools returned by the server and compare them with the product reference; for Cloud SQL read-only access, confirm the documented read-only tool names are exposed.
- Test a permitted, low-risk operation, then verify that an unneeded action is unavailable or denied.
Common connection problems and fixes
| Symptom | Likely cause | What to check |
|---|---|---|
| Client cannot reach or initialize the server | Wrong service endpoint, incorrect transport, or client configured for local stdio instead of remote HTTP | Confirm the database product and exact endpoint; use the remote transport supported by that client. |
| Authentication fails for AlloyDB | API key used instead of OAuth 2.0 with IAM, or client identity is not authenticated | Use the documented OAuth 2.0/IAM flow; AlloyDB’s MCP server does not accept API keys. |
| Tool is missing | Selected endpoint exposes a narrower toolset, or the client did not refresh its server tools | Check the endpoint path and the product reference; Cloud SQL’s read-only endpoint intentionally offers a defined subset. |
| Tool is listed but action is denied | IAM permissions for the authenticated principal do not authorize the operation | Review the task-specific permissions and grant only what that operation requires; endpoint tool availability alone does not grant access. |
| AlloyDB read-only SQL tool is unavailable | The PostgreSQL version may be earlier than the documented minimum | Google documents execute_sql_read_only support for PostgreSQL 17 and later; verify current documentation and engine version. |
| AlloyDB response appears incomplete | Response may exceed the documented 10 MB truncation threshold | Reduce result size or split the request; confirm current service behavior in Google’s AlloyDB reference. |
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FAQ
Can I use a Google database MCP server with any MCP client?
Only if the client supports the server’s remote transport and authentication flow. Client support and setup interfaces vary, so check the client’s current remote MCP instructions.
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Can I use an AlloyDB API key instead of OAuth?
No. Google’s AlloyDB MCP documentation says API keys are not accepted.
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