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Connectors · Observability & analytics

Datadog MCP server for AI agents.

actionlake is an MCP gateway: one remote MCP server that connects Claude and other MCP clients to Datadog and the rest of your systems. It gives your agent 586 Datadog actions (282 reads, 215 writes and 89 that wait for a confirmation) and holds the Datadog credential itself, so the agent never does. It paces Datadog's limits and records every call.

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: "datadog.users.list_users_v2",  intent: "check which Datadog account is connected"}# List all users. · read · 1 upstream call
  • 586actionsin one signed file
  • 282readlook, never change
  • 215writecreate and update
  • 89wait for a yesdestructive, confirmed first

Set up

Connect Datadog 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 Datadog.

    Header credentials. 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_keyDatadog API key
    • app_keyDatadog application key
    • site_hostWhere your Datadog lives: your site host
    account { op: "connections.requirements", service: "datadog" }
    # 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: "datadog.users.list_users_v2" }# list all users. · read · 1 upstream callcheck { action: "datadog.users.disable_user_v1", input: { … } }# free: inputs, permissions, cost and confirmations, nothing sent

Datadog at a glance

Sign-in
Header credentials. 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_keyapp_key
Setup fields
site_host
Limits we pace to
1,000 calls a minute, per connection
API covered
Datadog API v1+v2, at your Datadog instance's API base URL, which you enter when connecting
Built from
Datadog's documentation, read 18 September 2026OpenAPI spec (GitHub)OpenAPI spec (GitHub)
Service file
Version 1.0.0, signed (Ed25519)
Cached reads
266 of 282 reads, for up to an hour; a write clears what it affects
Ready-made plans
10 in the store
Shared entities
3, so ask can line Datadog up with your other systems
Data
Processed and stored in Sydney, Australia. No US region yet

Capabilities

What an AI agent can do in Datadog.

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

  • 282readlook, never change
  • 215writecreate and update
  • 89destructivewait for a confirmation
  1. Monitoring

    586

    282 read · 215 write · 89 destructive

    List all users. · Get a list of incidents. · List Slack user bindings. · List all users.

Datadog's own MCP server

Datadog's MCP server, or actionlake?

Datadog runs a remote MCP server that acts with the signed-in user's own Datadog permissions.

Use Datadog's server when one person wants to work in Datadog from their own AI client. Use actionlake when you also want Datadog behind the same endpoint as your other systems: a key per agent with allowed actions and a spending cap, a named person's approval before destructive actions, a sealed record of every call, and one ask across Datadog and another system.

Source: Datadog's documentation, checked 22 October 2026.

Top actions

The Datadog API, shaped for agents.

The ids your agent types, what each does, and the one name it shares with other systems. 280 of Datadog's 296 action names are shared with at least one other connector, so an agent learns them once.

ActionWhat it doesEffectSame name in
datadog.users.list_users_v2List all users.List all users.readidentity.user.list474 connectors
datadog.incidents.list_incidentsGet a list of incidents.Get a list of incidents.readmonitoring.incident.list19 connectors
datadog.users.list_users_v1List all users.List all users.readidentity.user.list474 connectors
datadog.hosts.list_hostsGet all hosts for your organization.Get all hosts for your organization.readdevice.endpoint.list65 connectors
datadog.users.disable_user_v1Disable a user.Disable a user.destructiveidentity.user.delete253 connectors
datadog.incidents.create_incidentCreate an incident.Create an incident.writemonitoring.incident.create13 connectors
datadog.teams.list_teamsGet all teams.Get all teams.readidentity.group.list262 connectors
datadog.teams.create_teamCreate a team.Create a team.writeidentity.group.create205 connectors
datadog.roles.list_rolesList roles.List roles.readidentity.role.list184 connectors
datadog.roles.list_role_templatesList role templates.List role templates.readidentity.role.list184 connectors
datadog.monitors.list_monitorsGet all monitors.Get all monitors.readmonitoring.monitor.list32 connectors
datadog.monitors.create_monitorCreate a monitor.Create a monitor.writemonitoring.monitor.create27 connectors

Try it

Prompts to paste into Claude.

Each one names the Datadog actions it will call, so you know what it reads and what it changes before you send it.

  1. Readread

    Which Datadog incidents are open, and how long has each been open?

    callsdatadog.incidents.list_incidents

  2. Planwrite

    Onboard a new team with a role, keys and membership in Datadog. Ask me before anything is sent or changed.

    callsdatadog.authentication.validatedatadog.roles.clone_roledatadog.users.send_invitationsdatadog.teams.update_team_membershipdatadog.service_accounts.create_service_account_application_key+2 more

  3. Planwrite

    Connect a new AWS account to Datadog in Datadog. Ask me before anything is sent or changed.

    callsdatadog.aws_integration.list_aws_accountsdatadog.aws_integration.list_aws_namespacesdatadog.aws_integration.create_new_aws_external_iddatadog.aws_integration.create_aws_accountdatadog.aws_integration.create_aws_account_ccm_config+1 more

  4. Writewrite

    Create an incident in Datadog. Show me exactly what you will send before you save it.

    callsdatadog.incidents.create_incident

The plan store

Ready-made plans for Datadog.

10 plans in the store. Install one and your agent runs it by name; the reply says which connections are still missing. A schedule can run a plan on a timetable. There are no triggers or webhooks, by design.

  1. Build the monthly Datadog cost attribution report

    Use it when Finance or platform engineering wants a month-end breakdown of Datadog spend by team or product.

    Effect
    read
    Steps
    5
    Needs
    end month, start hr, start month and tag keys
    Install
    datadog-monthly-cost-attribution-report
  2. Triage open security signals and escalate the real ones

    Use it when A security analyst is working the Datadog signal queue and needs noise archived and real findings escalated.

    A person decidesArchive number of data reviewed signals and escalate signal escalate signal id to an incident.

    Effect
    write
    Steps
    5
    Needs
    bulk edit, escalate signal id, incident link and search
    Install
    datadog-security-signal-triage
  3. Investigate an SLO that has burned its error budget

    Use it when An SLO has breached and someone needs the burn history plus the metric and event context behind it.

    A person decidesApply an SLO correction to slo id covering the maintenance window, rewriting its recorded history.

    Effect
    write
    Steps
    6
    Needs
    correction, correction id, from ts, metric query, slo id, slo query and to ts
    Install
    datadog-slo-breach-investigation
  4. Pause synthetic tests for a deploy window

    Use it when A release window needs Datadog synthetic tests quiet and then restored automatically.

    Effect
    write
    Steps
    6 · loops
    Needs
    downtime and window
    Install
    datadog-synthetic-test-maintenance-window
  5. Connect a new AWS account to Datadog

    Use it when A new AWS account needs connecting to Datadog with cost collection and a checked metric filter.

    A person decidesConnect a new AWS account to Datadog using external id data, starting billable metric collection.

    Effect
    write
    Steps
    7
    Needs
    account and ccm config
    Install
    datadog-aws-account-integration-setup
  6. Open an incident and wire up its first responders

    Use it when A new Datadog incident has been declared and needs impact, responders and triage todos attached.

    Effect
    write
    Steps
    7
    Needs
    impact, incident id, page and responder
    Install
    datadog-incident-triage-kickoff
  7. Onboard a new team with a role, keys and membership

    Use it when A new team is joining Datadog and needs a role, invitations, membership and a service account key.

    A person decidesSend Datadog invitations for the new team and grant them the role cloned from template role id as data.

    Effect
    write
    Steps
    8
    Needs
    app key, invitations, membership, role body, service account id, team id, template role id and user id
    Install
    datadog-onboard-team-to-datadog
  8. Review and revoke stale application keys

    Use it when An access review needs old Datadog application keys revoked after sign-off.

    A person decidesRevoke every Datadog application key created before cutoff.

    Effect
    destructive
    Steps
    5 · loops
    Install
    datadog-stale-application-key-cleanup
  9. Audit unused dashboards and dashboard lists

    Use it when Someone wants to find and clear out Datadog dashboards and lists nobody looks at any more.

    A person decidesDelete the empty Datadog dashboard lists found in this audit; number of data cold dashboards are reported only.

    Effect
    destructive
    Steps
    6 · loops
    Install
    datadog-dashboard-usage-audit
  10. Safely decommission monitors for a retired service

    Use it when A service is being retired and its Datadog monitors must be removed without breaking composites.

    A person decidesDelete number of monitors Datadog monitors matching 'service query'.

    Effect
    destructive
    Steps
    6 · loops
    Needs
    service query
    Install
    datadog-monitor-decommission-sweep
install a plan
account { op: "plans.install", slug: "datadog-monthly-cost-attribution-report" }
# then ask for it by name; a schedule can run it on a timetable

Governance for Datadog

Destructive actions wait for a yes.

89 Datadog actions are destructive. The first 10:

  • Disable a user.datadog.users.disable_user_v1
  • Disable a user.datadog.users.disable_user_v2
  • Delete an existing incident.datadog.incidents.delete_incident
  • Remove a team.datadog.teams.delete_team
  • Delete a monitor.datadog.monitors.delete_monitor
  • Delete role.datadog.roles.delete_role
  • Delete an API key.datadog.key_management.delete_api_key_v1
  • Delete an API key.datadog.key_management.delete_api_key_v2
  • Delete an On-Call notification channel for a user.datadog.on_call.delete_user_notification_channel
  • Remove a Slack integration channel.datadog.slack_integration.remove_slack_integration_channel

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.

dodatadog.incidents.delete_incidentconfirm_policy: human

Delete an existing incident.?

intent: the user asked me to delete an existing incident.

run suspended · waiting for a named person · key datadog-agent cannot confirm itself
In the console, or from an emailed signed link.
a key for this connector
account {  op: "keys.create", name: "datadog-agent",  allowed_actions: ["datadog.*"], cap_calls: 2000,  confirm_policy: "human_for_writes",  approval_rules: [    { match: "datadog.users.disable_user_v1", approver: "[email protected]" },    { match: "datadog.users.disable_user_v2", approver: "[email protected]" },    { match: "datadog.incidents.delete_incident", approver: "[email protected]" }  ]}
Illustrative. Scoped to Datadog only, capped at 2,000 upstream calls, every write confirmed, and the destructive ones approved by a named person.

Cost

What Datadog costs on actionlake.

Every Datadog action is one upstream call, the only thing actionlake bills. Searching, check, cost, account and any call Datadog 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 586 Datadog actions
  • 586actions pageeach page of a long list is one call
  • 266reads 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 Datadog action.

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

Monitoring586
  • datadog.incidents.list_incidentsGet a list of incidents.read
  • datadog.slack_integration.list_slack_user_bindingsList Slack user bindings.read
  • datadog.users.list_users_v1List all users.read
  • datadog.users.list_users_v2List all users.read
  • datadog.audit.list_audit_logsGet a list of Audit Logs events.read
  • datadog.audit.search_audit_logsSearch Audit Logs events.read
  • and 580 more in this area

This index shows a sample of each area. All 586 actions, with their inputs and prices, are in the catalogue, which a free sandbox key can search.

Questions

The Datadog MCP server, answered.

Is there a Datadog MCP server for Claude?

Yes. actionlake is an MCP gateway: a remote MCP server that gives Claude, or another MCP client, 586 Datadog actions, through the same eight tools it uses for every other connector. actionlake is independent; it is not made or endorsed by Datadog.

Does Datadog have its own MCP server?

Datadog runs a remote MCP server that acts with the signed-in user's own Datadog permissions. (Datadog's documentation, checked 22 October 2026.) Use Datadog's server when one person wants to work in Datadog from their own AI client. Use actionlake when you also want Datadog behind the same endpoint as your other systems: a key per agent with allowed actions and a spending cap, a named person's approval before destructive actions, a sealed record of every call, and one ask across Datadog and another system.

What do I need to connect Datadog?

Datadog API key and Datadog application key. Plus your site host. The free call account { op: "connections.requirements", service: "datadog" } lists exactly what to paste.

Can an AI agent delete or change things in Datadog?

Only if its key allows it, and only with an explicit confirmation. 89 Datadog actions are destructive, including disable a user., delete an existing incident. and remove a team.. 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 Datadog API limit?

actionlake paces every call to the limits in the Datadog service file: 1,000 calls a minute per connection. Repeated reads are answered from cache (266 Datadog actions can be), which never reaches Datadog.

What does a Datadog action cost?

One upstream call, the only unit actionlake bills. A list that pages bills one call per page (586 Datadog actions page). Cache hits, searches, dry runs and calls Datadog 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 Datadog API does it cover?

The Datadog API v1+v2 at your Datadog instance's API base URL, which you enter when connecting. It is built from Datadog's documentation as read on 18 September 2026. 586 actions in 1 area, each one in the signed service file (version 1.0.0).

Does actionlake keep my Datadog 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 Datadog 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 Datadog today.

Start free - 100,000 calls/month, no card. No signup. Hard caps on every key. Cached answers are free.