Connectors · AI

Google Cloud Document AI MCP server for AI agents.

actionlake is an MCP gateway: one remote MCP server that connects Claude and other MCP clients to Google Cloud Document AI and the rest of your systems. It gives your agent 42 Google Cloud Document AI actions (18 reads, 18 writes and 6 that wait for a confirmation) and holds the Google Cloud Document AI credential itself, so the agent never does. It paces Google Cloud Document AI's limits and records every call.

Connect Google Cloud Document AI free See pricing

100,000 free calls a month. No card, no email, no password: press Start a free sandbox on the next screen and keep the key it shows you.

claude mcp add --transport http actionlake https://connect.actionlake.com/mcp

the first call

do {  action: "google_document_ai.operations.list",  intent: "check which Google Cloud Document AI account is connected"}# Lists operations that match the specified filter in the request · read · 1 upstream call

42actionsin one signed file
18readlook, never change
18writecreate and update
6wait for a yesdestructive, confirmed first

Set up

Connect Google Cloud Document AI in three steps.

01
Add actionlake to Claude.
Run the command once in Claude Code; its consent page can create a free sandbox: 100,000 calls a month, no card. In the Claude app, add a custom connector with the URL below and paste your key on the consent page. Creating a new sandbox from the Claude app is not yet tested by us.
https://connect.actionlake.com/mcp
02
Connect Google Cloud Document AI.
Signed token (JWT). You paste the signing key once; actionlake signs a short-lived token for each call. actionlake stores what you paste write-only, sealed under your tenant's key.
- client_emailService account client email (`client_email` in the JSON key file)
- private_keyService account private key, PKCS#8 PEM (`private_key` in the JSON key file)
- hostWhere your Google Cloud Document AI lives: your host
- locationYour Google Cloud Document AI location
- project_idYour Google Cloud Document AI project id
```
account { op: "connections.requirements", service: "google_document_ai" }
# free: exactly what to paste, and what is found for you
```

Make the first call. Check before a write.

Ask in plain words; Claude picks the action. Before anything changes, check validates the call and prices it, for free.

do    { action: "google_document_ai.operations.list" }# lists operations that match the specified filter in the request · read · 1 upstream callcheck { action: "google_document_ai.processors.create", input: { … } }# free: inputs, permissions, cost and confirmations, nothing sent

Google Cloud Document AI at a glance

Sign-in: Signed token (JWT). You paste the signing key once; actionlake signs a short-lived token for each call.
You provide: client_emailprivate_key
Setup fields: hostlocationproject_id
Limits we pace to: 5 calls a second, per connection
API covered: Google Cloud Document AI API v1, at your Google Cloud Document AI instance's API base URL, which you enter when connecting
Built from: Google Cloud Document AI's documentation, read 23 October 2026documentai.googleapis.com cloud.google.com
Service file: Version 1.0.0, signed (Ed25519)
Cached reads: 18 of 18 reads, for up to an hour; a write clears what it affects
Shared entities: 2, so ask can line Google Cloud Document AI up with your other systems
Data: Processed and stored in Sydney, Australia. No US region yet

Capabilities

What an AI agent can do in Google Cloud Document AI.

42 actions in 1 area. Every one carries its effect, so a key can allow the reads and hold the rest.

18readlook, never change
18writecreate and update
6destructivewait for a confirmation

Document processing
42
18 read · 18 write · 6 destructive
Lists operations that match the specified filter in the request · Lists all processors which belong to this project · Lists the processor types that exist · LRO endpoint to batch process many documents

Top actions

The Google Cloud Document AI API, shaped for agents.

The ids your agent types, what each does, and the one name it shares with other systems.

Action	What it does	Effect	Same name in
`google_document_ai.operations.list`Lists operations that match the specified filter in the request	Lists operations that match the specified filter in the request.	read	this connector
`google_document_ai.processors.list`Lists all processors which belong to this project	Lists all processors which belong to this project.	read	this connector
`google_document_ai.processors.create`Creates a processor from the ProcessorType provided	Creates a processor from the ProcessorType provided.	write	this connector
`google_document_ai.processor_types.list`Lists the processor types that exist	Lists the processor types that exist.	read	this connector
`google_document_ai.operations.get`Gets the latest state of a long-running operation	Gets the latest state of a long-running operation.	read	this connector
`google_document_ai.processor_types.get`Gets a processor type detail	Gets a processor type detail.	read	this connector
`google_document_ai.processors.delete`delete processors	Deletes the processor, unloads all deployed model artifacts if it was enabled and then deletes all artifacts associated with this processor.	destructive	this connector
`google_document_ai.schemas.list`Lists Schemas	Lists Schemas.	read	this connector
`google_document_ai.locations.list`Lists information about the supported locations for this service	Lists information about the supported locations for this service.	read	this connector
`google_document_ai.schemas.create`Creates a schema	Creates a schema.	write	this connector
`google_document_ai.evaluations.list`Retrieves a set of evaluations for a given processor version	Retrieves a set of evaluations for a given processor version.	read	this connector
`google_document_ai.schema_versions.create`Creates a schema version	Creates a schema version.	write	this connector

Try it

Prompts to paste into Claude.

Each one names the Google Cloud Document AI actions it will call, so you know what it reads and what it changes before you send it.

Readread
Lists operations that match the specified filter in the request in Google Cloud Document AI and tell me what stands out.
callsgoogle_document_ai.operations.list
Writewrite
Creates a processor from the ProcessorType provided in Google Cloud Document AI. Show me exactly what you will send before you save it.
callsgoogle_document_ai.processors.create

Governance for Google Cloud Document AI

Destructive actions wait for a yes.

6 Google Cloud Document AI actions are destructive. These are all of them:

delete processorsgoogle_document_ai.processors.delete
Starts asynchronous cancellation on a long-running operationgoogle_document_ai.operations.cancel
Deletes a schemagoogle_document_ai.schemas.delete
Deletes a schema versiongoogle_document_ai.schema_versions.delete
Deletes a long-running operationgoogle_document_ai.global_operations.delete
Deletes the processor version, all artifacts under the processor version will be deletedgoogle_document_ai.processor_versions.delete

A destructive action runs only with confirm: true. Under the human policy the agent cannot confirm for itself: the run stops until a named person approves, in the console or from a signed link in an email. The cap on a key is refused before the call is sent, never after.

dogoogle_document_ai.processors.deleteconfirm_policy: human

delete processors?

intent: the user asked me to delete processors

run suspended · waiting for a named person · key google-document-ai-agent cannot confirm itself

In the console, or from an emailed signed link.

a key for this connector

account {  op: "keys.create", name: "google-document-ai-agent",  allowed_actions: ["google_document_ai.*"], cap_calls: 2000,  confirm_policy: "human_for_writes",  approval_rules: [    { match: "google_document_ai.processors.delete", approver: "[email protected]" },    { match: "google_document_ai.operations.cancel", approver: "[email protected]" },    { match: "google_document_ai.schemas.delete", approver: "[email protected]" }  ]}

Illustrative. Scoped to Google Cloud Document AI only, capped at 2,000 upstream calls, every write confirmed, and the destructive ones approved by a named person.

Cost

What Google Cloud Document AI costs on actionlake.

Every Google Cloud Document AI action is one upstream call, the only thing actionlake bills. Searching, check, cost, account and any call Google Cloud Document AI refused with 401, 403, 429 or a 5xx are free. Paid plans start at US$49 a month for 250,000 calls, with overage from US$0.30 down to US$0.18 per 1,000.

1upstream call per actionall 42 Google Cloud Document AI actions
42actions pageeach page of a long list is one call
18reads can be cacheda cache hit costs nothing
100,000calls a month, freepaid plans from US$49 a month for 250,000

See pricing

Action index

Every Google Cloud Document AI action.

42 actions by area: the id your agent calls, what it does, and its effect.

Document processing42

google_document_ai.evaluations.getRetrieves a specific evaluationread
google_document_ai.evaluations.listRetrieves a set of evaluations for a given processor versionread
google_document_ai.global_operations.deleteDeletes a long-running operationdestructive
google_document_ai.human_review.review_documentSend a document for Human Reviewwrite
google_document_ai.locations.fetch_processor_typesFetches processor typesread
google_document_ai.locations.getGets information about a locationread
google_document_ai.locations.listLists information about the supported locations for this serviceread
google_document_ai.operations.cancelStarts asynchronous cancellation on a long-running operationdestructive
google_document_ai.operations.getGets the latest state of a long-running operationread
google_document_ai.operations.listLists operations that match the specified filter in the requestread
google_document_ai.processor_types.getGets a processor type detailread
google_document_ai.processor_types.listLists the processor types that existread
google_document_ai.processor_versions.batch_processLRO endpoint to batch process many documentswrite
google_document_ai.processor_versions.deleteDeletes the processor version, all artifacts under the processor version will be deleteddestructive
google_document_ai.processor_versions.deployDeploys the processor versionwrite
google_document_ai.processor_versions.evaluate_processor_versionEvaluates a ProcessorVersion against annotated documents, producing an Evaluationwrite
google_document_ai.processor_versions.getGets a processor version detailread
google_document_ai.processor_versions.listLists all versions of a processorread
google_document_ai.processor_versions.processProcesses a single documentwrite
google_document_ai.processor_versions.trainTrains a new processor versionwrite
google_document_ai.processor_versions.undeployUndeploys the processor versionwrite
google_document_ai.processors.batch_processLRO endpoint to batch process many documentswrite
google_document_ai.processors.createCreates a processor from the ProcessorType providedwrite
google_document_ai.processors.deletedelete processorsdestructive
google_document_ai.processors.disableDisables a processorwrite
google_document_ai.processors.enableEnables a processorwrite
google_document_ai.processors.getGets a processor detailread
google_document_ai.processors.listLists all processors which belong to this projectread
google_document_ai.processors.processProcesses a single documentwrite
google_document_ai.processors.set_default_processor_versionsetDefaultProcessorVersion processorswrite
google_document_ai.project_operations.getGets the latest state of a long-running operationread
google_document_ai.schema_versions.createCreates a schema versionwrite
google_document_ai.schema_versions.deleteDeletes a schema versiondestructive
google_document_ai.schema_versions.generateGenerates a schema versionwrite
google_document_ai.schema_versions.getGets a schema versionread
google_document_ai.schema_versions.listLists SchemaVersionsread
google_document_ai.schema_versions.patchUpdates a schema versionwrite
google_document_ai.schemas.createCreates a schemawrite
google_document_ai.schemas.deleteDeletes a schemadestructive
google_document_ai.schemas.getGets a schemaread
google_document_ai.schemas.listLists Schemasread
google_document_ai.schemas.patchUpdates a schemawrite

Questions

The Google Cloud Document AI MCP server, answered.

Is there a Google Cloud Document AI MCP server for Claude?

Yes. actionlake is an MCP gateway: a remote MCP server that gives Claude, or another MCP client, 42 Google Cloud Document AI actions, through the same eight tools it uses for every other connector. actionlake is independent; it is not made or endorsed by Google Cloud Document AI.

What do I need to connect Google Cloud Document AI?

Service account client email (`client_email` in the JSON key file) and Service account private key, PKCS#8 PEM (`private_key` in the JSON key file). Plus your host, your location and your project id. The free call account { op: "connections.requirements", service: "google_document_ai" } lists exactly what to paste.

Can an AI agent delete or change things in Google Cloud Document AI?

Only if its key allows it, and only with an explicit confirmation. 6 Google Cloud Document AI actions are destructive, including delete processors, starts asynchronous cancellation on a long-running operation and deletes a schema. Each runs only with confirm: true. Under the human confirm policy, or an approval rule on the key, the run waits until a named person approves it.

Will an AI agent use up my Google Cloud Document AI API limit?

actionlake paces every call to the limits in the Google Cloud Document AI service file: 5 calls a second per connection. Repeated reads are answered from cache (18 Google Cloud Document AI actions can be), which never reaches Google Cloud Document AI.

What does a Google Cloud Document AI action cost?

One upstream call, the only unit actionlake bills. A list that pages bills one call per page (42 Google Cloud Document AI actions page). Cache hits, searches, dry runs and calls Google Cloud Document AI refused with 401, 403, 429 or a 5xx are free. The Free plan includes 100,000 calls a month with no card. Paid plans start at US$49 a month for 250,000 calls, with overage from US$0.30 down to US$0.18 per 1,000.

Which Google Cloud Document AI API does it cover?

The Google Cloud Document AI API v1 at your Google Cloud Document AI instance's API base URL, which you enter when connecting. It is built from Google Cloud Document AI's documentation as read on 23 October 2026. 42 actions in 1 area, each one in the signed service file (version 1.0.0).

Does actionlake keep my Google Cloud Document AI data, and where?

actionlake processes and stores data in Sydney, Australia; there is no US region yet. Reads may be cached for up to an hour, and a write clears the reads it affects. Each run's request and response is kept, sealed, for your plan's trace window: 1 day on Free, 3 days on Starter, 7 days on Pro, 14 days on Team, 30 days on Business and 30 days on Enterprise. Your Google Cloud Document AI credential is sealed under your tenant's key, never logged and never returned. Your traffic is not used to train models.

Which AI clients can use it?

Claude Code, tested by us end to end, and the Claude app as a custom connector, tested by us with an existing key. Other MCP clients that support remote servers over Streamable HTTP (MCP revisions 2025-06-18 and 2025-11-25) and OAuth dynamic client registration, or a bearer header, should connect the same way; we have not tested them. Or plain REST, under the same action names.

Give your agent Google Cloud Document AI today.