--- title: "Databox MCP server for AI agents - actionlake" description: "Give Claude 88 Databox actions through one MCP server: datasets, data sources, metrics. Your agent never holds the credential. 100,000 calls a month free." canonical: https://actionlake.com/connectors/databox updated: 2026-10-23 --- Connectors · Observability & analytics # Databox MCP server for AI agents. actionlake is an MCP gateway: one remote MCP server that connects Claude and other MCP clients to Databox and the rest of your systems. It gives your agent 88 Databox actions (52 reads, 27 writes and 9 that wait for a confirmation) and holds the Databox credential itself, so the agent never does. It paces Databox's limits and records every call. [Connect Databox free](https://actionlake.com/console?start=sandbox) [See pricing](https://actionlake.com/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: "databox.users.list", intent: "check which Databox account is connected" } # List users · read · 1 upstream call ``` - 88 actions in one signed file - 52 read look, never change - 27 write create and update - 9 wait for a yes destructive, confirmed first Set up ## Connect Databox in three steps. 1. 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` 2. 02 ### Connect Databox. API key. No consent screen: your agent can connect it for you, but the key then passes through your chat. To keep it out of the model's context, paste it in the console instead. actionlake stores what you paste write-only, sealed under your tenant's key. - `api_key` Databox API key: in Databox open Profile > API keys > Create API key (paid plans) ``` account { op: "connections.requirements", service: "databox" } # free: exactly what to paste, and what is found for you ``` 3. 03 ### 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: "databox.users.list" } # list users · read · 1 upstream call check { action: "databox.users.create", input: { … } } # free: inputs, permissions, cost and confirmations, nothing sent ``` Databox at a glance **Sign-in** API key. No consent screen: your agent can connect it for you, but the key then passes through your chat. To keep it out of the model's context, paste it in the console instead. **You provide** `api_key` **Limits we pace to** 100 calls a minute, per connection **API covered** Databox API v2 (OpenAPI 3.0.0)`api.databox.com` **Built from** Databox's documentation, read 23 October 2026[developers.databox.com](https://developers.databox.com/_bundle/docs/@v2/api/api.databox.com.yaml) [developers.databox.com](https://developers.databox.com/docs/api/api.databox.com) **Service file** Version 1.0.0, signed (Ed25519) **Cached reads** 45 of 52 reads, for up to 5 minutes; a write clears what it affects **Shared entities** 4, so ask can line Databox up with your other systems **Data** Processed and stored in Sydney, Australia. No US region yet Capabilities ## What an AI agent can do in Databox. 88 actions in 16 areas. Every one carries its effect, so a key can allow the reads and hold the rest. - **52** read look, never change - **27** write create and update - **9** destructive wait for a confirmation 1. ### Datasets 20 9 read · 9 write · 2 destructive List datasets · Create a dataset · Retrieve a dataset · Update a dataset 2. ### Data sources 11 4 read · 5 write · 2 destructive Create a data source · List data sources · Retrieve a data source's available sync frequencies · Retrieve a data source 3. ### Metrics 11 7 read · 3 write · 1 destructive List metrics · Create a metric · Update a metric · Retrieve a metric 4. ### Organization 7 6 read · 1 write · 0 destructive List activity log entries · List countries · List metadata options · List time zones 5. ### Connections 6 3 read · 2 write · 1 destructive List connections · Retrieve a connection · Retrieve a connection's permissions · Update a connection 6. ### Dataset modifications 6 4 read · 1 write · 1 destructive List dataset modification functions · Retrieve dataset modification rules · Preview a dataset modification · Retrieve a dataset's modification 7. ### Accounts 5 2 read · 2 write · 1 destructive Create an account · List accounts · Retrieve an account · Update an account 8. ### Users 5 2 read · 2 write · 1 destructive List users · Create a user · Retrieve a user · Update a user **8 more areas · 17 actions** - Dataset ingestions **3** - Profile **3** - Billing **2** - Databoards **2** - Dataset data **2** - Dataset syncs **2** - Integrations **2** - Auth **1** Top actions ## The Databox API, shaped for agents. The ids your agent types, what each does, and the one name it shares with other systems. 17 of Databox's 17 action names are shared with at least one other connector, so an agent learns them once. | Action | What it does | Effect | Same name in | | --- | --- | --- | --- | | `databox.users.list` List users | List users. | read | `identity.user.list` 474 connectors | | `databox.profile.get` Retrieve profile | Retrieve profile. | read | `identity.current_user.get` 307 connectors | | `databox.datasets.list` List datasets | List datasets. | read | `analytics.dataset.list` 28 connectors | | `databox.users.create` Create a user | Create a user. | write | `identity.user.create` 262 connectors | | `databox.datasets.create` Create a dataset | Create a dataset. | write | `analytics.dataset.create` 21 connectors | | `databox.users.delete` Delete a user | Delete a user. | destructive | `identity.user.delete` 253 connectors | | `databox.databoards.list` List databoards | List databoards. | read | `analytics.dashboard.list` 22 connectors | | `databox.metrics.list` List metrics | List metrics. | read | `analytics.metric_definition.list` 11 connectors | | `databox.metrics.create` Create a metric | Create a metric. | write | `analytics.metric_definition.create` 10 connectors | | `databox.data_sources.list` List data sources | List data sources. | read | this connector | | `databox.datasets.duplicate` Duplicate a dataset | Duplicate a dataset. | write | this connector | | `databox.data_sources.create` Create a data source | Create a data source. | write | this connector | Try it ## Prompts to paste into Claude. Each one names the Databox actions it will call, so you know what it reads and what it changes before you send it. 1. Read read Who has access in Databox? List every user and their role. calls `databox.users.list` 2. Write write Create a user in Databox. Show me exactly what you will send before you save it. calls `databox.users.create` Governance for Databox ## Destructive actions wait for a yes. 9 Databox actions are destructive. These are all of them: - Delete a user `databox.users.delete` - Delete a dataset `databox.datasets.delete` - Delete a metric `databox.metrics.delete` - Purge a dataset `databox.datasets.purge` - Purge a data source `databox.data_sources.purge` - Delete a data source `databox.data_sources.delete` - Delete an account `databox.accounts.delete` - Delete a connection `databox.connections.delete` - Delete a dataset modification `databox.dataset_modifications.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. do databox.users.delete confirm_policy: **human** Delete a user? **intent:** the user asked me to delete a user run suspended · waiting for a named person · key _databox-agent_ cannot confirm itself In the console, or from an emailed signed link. a key for this connector ``` account { op: "keys.create", name: "databox-agent", allowed_actions: ["databox.*"], cap_calls: 2000, confirm_policy: "human_for_writes", approval_rules: [ { match: "databox.users.delete", approver: "lead@example.com" }, { match: "databox.datasets.delete", approver: "lead@example.com" }, { match: "databox.metrics.delete", approver: "lead@example.com" } ] } ``` Illustrative. Scoped to Databox only, capped at 2,000 upstream calls, every write confirmed, and the destructive ones approved by a named person. Cost ## What Databox costs on actionlake. Every Databox action is one upstream call, the only thing actionlake bills. Searching, `check`, `cost`, `account` and any call Databox 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. - 1 upstream call per action all 88 Databox actions - 88 actions page each page of a long list is one call - 45 reads can be cached a cache hit costs nothing - 100,000 calls a month, free paid plans from US$49 a month for 250,000 [See pricing](https://actionlake.com/pricing) Action index ## Every Databox action. 88 actions by area: the id your agent calls, what it does, and its effect. **Datasets 20** - `databox.datasets.create` Create a dataset write - `databox.datasets.delete` Delete a dataset destructive - `databox.datasets.duplicate` Duplicate a dataset write - `databox.datasets.get` Retrieve a dataset read - `databox.datasets.get_column_metadata` Retrieve a dataset's column metadata read - `databox.datasets.get_lineage` Retrieve a dataset's lineage read - `databox.datasets.get_metadata` Retrieve a dataset's metadata read - `databox.datasets.get_permissions` Retrieve a dataset's permissions read - `databox.datasets.get_schema` Retrieve a dataset's schema read - `databox.datasets.get_verification` Retrieve a dataset's verification read - `databox.datasets.list` List datasets read - `databox.datasets.list_sync_frequency_options` Retrieve a dataset's sync frequency options read - `databox.datasets.purge` Purge a dataset destructive - `databox.datasets.update` Update a dataset write - `databox.datasets.update_column_metadata` Update a dataset's column metadata write - `databox.datasets.update_metadata` Update a dataset's metadata write - `databox.datasets.update_permissions` Update a dataset's permissions write - `databox.datasets.update_sync_frequency` Update a dataset's sync frequency write - `databox.datasets.update_timezone` Update a dataset's time zone write - `databox.datasets.update_verification` Update a dataset's verification write **Data sources 11** - `databox.data_sources.create` Create a data source write - `databox.data_sources.delete` Delete a data source destructive - `databox.data_sources.get` Retrieve a data source read - `databox.data_sources.get_permissions` Retrieve a data source's permissions read - `databox.data_sources.list` List data sources read - `databox.data_sources.list_sync_frequency_options` Retrieve a data source's available sync frequencies read - `databox.data_sources.purge` Purge a data source destructive - `databox.data_sources.update` Update a data source write - `databox.data_sources.update_permissions` Update a data source's permissions write - `databox.data_sources.update_sync_frequency` Update a data source's sync frequency write - `databox.data_sources.update_timezone` Update a data source's time zone write **Metrics 11** - `databox.metrics.create` Create a metric write - `databox.metrics.delete` Delete a metric destructive - `databox.metrics.get` Retrieve a metric read - `databox.metrics.get_lineage` Retrieve a metric's lineage read - `databox.metrics.get_verification` Retrieve a metric's verification read - `databox.metrics.list` List metrics read - `databox.metrics.list_usages` Retrieve a metric's usages read - `databox.metrics.query_dimension_values` Retrieve dimension values read - `databox.metrics.query_drilldown` Retrieve drilldown data read - `databox.metrics.update` Update a metric write - `databox.metrics.update_verification` Update a metric's verification write **Organization 7** - `databox.organization.get` Retrieve organization details read - `databox.organization.get_usage` Retrieve organization usage read - `databox.organization.list_activity_log` List activity log entries read - `databox.organization.list_countries` List countries read - `databox.organization.list_metadata_options` List metadata options read - `databox.organization.list_timezones` List time zones read - `databox.organization.update` Update organization details write **Connections 6** - `databox.connections.delete` Delete a connection destructive - `databox.connections.get` Retrieve a connection read - `databox.connections.get_permissions` Retrieve a connection's permissions read - `databox.connections.list` List connections read - `databox.connections.update` Update a connection write - `databox.connections.update_permissions` Update a connection's permissions write **Dataset modifications 6** - `databox.dataset_modifications.delete` Delete a dataset modification destructive - `databox.dataset_modifications.get` Retrieve a dataset's modification read - `databox.dataset_modifications.list_functions` List dataset modification functions read - `databox.dataset_modifications.list_rules` Retrieve dataset modification rules read - `databox.dataset_modifications.preview` Preview a dataset modification read - `databox.dataset_modifications.update` Update a dataset modification write **Accounts 5** - `databox.accounts.create` Create an account write - `databox.accounts.delete` Delete an account destructive - `databox.accounts.get` Retrieve an account read - `databox.accounts.list` List accounts read - `databox.accounts.update` Update an account write **Users 5** - `databox.users.create` Create a user write - `databox.users.delete` Delete a user destructive - `databox.users.get` Retrieve a user read - `databox.users.list` List users read - `databox.users.update` Update a user write **Dataset ingestions 3** - `databox.dataset_ingestions.get` Retrieve a dataset ingestion read - `databox.dataset_ingestions.get_statistics` Retrieve a dataset's ingestion statistics read - `databox.dataset_ingestions.list` List a dataset's ingestions read **Profile 3** - `databox.profile.get` Retrieve profile read - `databox.profile.list_metadata_options` List metadata options read - `databox.profile.update` Update profile write **Billing 2** - `databox.billing.get` Retrieve billing details read - `databox.billing.list_invoices` List invoices read **Databoards 2** - `databox.databoards.list` List databoards read - `databox.databoards.list_metrics` Retrieve a Databoard's metrics read **Dataset data 2** - `databox.dataset_data.ingest` Ingest data into a dataset write - `databox.dataset_data.list` Retrieve dataset data read **Dataset syncs 2** - `databox.dataset_syncs.get_statistics` Retrieve a dataset's sync statistics read - `databox.dataset_syncs.list` Retrieve a dataset's sync history read **Integrations 2** - `databox.integrations.get` Retrieve an integration read - `databox.integrations.list` List integrations read **Auth 1** - `databox.auth.validate_key` Validate an API key read Questions ## The Databox MCP server, answered. **Is there a Databox MCP server for Claude?** Yes. actionlake is an MCP gateway: a remote MCP server that gives Claude, or another MCP client, 88 Databox actions across datasets, data sources, metrics and organization, through the same eight tools it uses for every other connector. actionlake is independent; it is not made or endorsed by Databox. **What do I need to connect Databox?** Databox API key: in Databox open Profile > API keys > Create API key (paid plans). The free call account { op: "connections.requirements", service: "databox" } lists exactly what to paste. **Can an AI agent delete or change things in Databox?** Only if its key allows it, and only with an explicit confirmation. 9 Databox actions are destructive, including delete a user, delete a dataset and delete a metric. 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 Databox API limit?** actionlake paces every call to the limits in the Databox service file: 100 calls a minute per connection. Repeated reads are answered from cache (45 Databox actions can be), which never reaches Databox. **What does a Databox action cost?** One upstream call, the only unit actionlake bills. A list that pages bills one call per page (88 Databox actions page). Cache hits, searches, dry runs and calls Databox 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 Databox API does it cover?** The Databox API v2 (OpenAPI 3.0.0) at api.databox.com. It is built from Databox's documentation as read on 23 October 2026. 88 actions in 16 areas, each one in the signed service file (version 1.0.0). **Does actionlake keep my Databox data, and where?** actionlake processes and stores data in Sydney, Australia; there is no US region yet. Reads may be cached for up to 5 minutes, 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 Databox 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. ## More connectors like Databox Shares the most action names with - [Tableau 10](https://actionlake.com/connectors/tableau) - [Domo 10](https://actionlake.com/connectors/domo) - [Sigma Computing 9](https://actionlake.com/connectors/sigma-computing) - [Qlik Cloud 8](https://actionlake.com/connectors/qlik-cloud) - [Fastly 6](https://actionlake.com/connectors/fastly) - [Databricks 6](https://actionlake.com/connectors/databricks) Joins with, on shared entities - [Docebo 3](https://actionlake.com/connectors/docebo) - [Splunk Platform 3](https://actionlake.com/connectors/splunk-platform) - [Rubrik Security Cloud 2](https://actionlake.com/connectors/rubrik-security-cloud) - [Cloudflare 2](https://actionlake.com/connectors/cloudflare) - [Delinea Secret Server 2](https://actionlake.com/connectors/delinea-secret-server) - [authentik 2](https://actionlake.com/connectors/authentik) Browse - [All Observability & analytics connectors](https://actionlake.com/connectors/category/observability-and-analytics) - [All connectors](https://actionlake.com/connectors) - [How actionlake compares](https://actionlake.com/compare) actionlake is independent. It is not made or endorsed by Databox; the name is the vendor's own. Counts are from the Databox service file, version 1.0.0. ## Give your agent Databox today. [Connect Databox free](https://actionlake.com/console?start=sandbox) [See pricing](https://actionlake.com/pricing) Start free - 100,000 calls/month, no card. No signup. Hard caps on every key. Cached answers are free. --- Source: https://actionlake.com/connectors/databox More: https://actionlake.com/llms.txt