Automation tools

`sendmock_ai_agents`

For each AI agent, the install command and its MCP configuration.

Toolset core.

Read only

Input	Type	Description
target	string	Only this agent.One of: `claude-code`, `codex`, `cursor`, `gemini`, `vscode`Example: `claude-code`

Example call

{
  "name": "sendmock_ai_agents",
  "arguments": {
    "target": "claude-code"
  }
}

Result: AiAgentSetup[]

API: GET/api/v1/ai/agents
CLI: sendmock ai install --target <agent>
In the app: Settings > Connection > AI agents

`sendmock_events_recent`

The latest events, newest first: the polling twin of the live stream.

Toolset core.

Read only

Input	Type	Description
since	string	Only events newer than this time.Example: `2026-10-26T09:30:00Z`
type	string	An event type, e.g. http.captured.Example: `http.captured`
limit	integer	At most this many (default 50).Example: `50`
project	string	Only events about this project's emails, SMS and verifications (its key); every event when not set.Example: `shop`

Example call

{
  "name": "sendmock_events_recent",
  "arguments": {
    "since": "2026-10-26T09:30:00Z",
    "type": "http.captured"
  }
}

Result: AppEvent[]

API: GET/api/v1/events/recent
CLI: sendmock events tail
In the app: Notification bell

`sendmock_integration_snippet`

Copy-ready settings for a stack, as Settings > Connection shows them.

Toolset core.

Read only

Input	Type	Description
stackrequired	string	Your app's stack: a language (`laravel`, `node`, `python`, `go`, `java`, `ruby`, `dotnet`, `curl`) or a framework (`php`, `express`, `nestjs`, `django`, `flask`, `fastapi`, `spring`, `rails`, `aspnet`).Example: `laravel`
channel	string	email, sms or http (default email).Example: `email`
host	string	Where the app runs: local, docker-host or compose.Example: `local`

Example call

{
  "name": "sendmock_integration_snippet",
  "arguments": {
    "stack": "laravel",
    "channel": "email",
    "host": "local"
  }
}

Result: IntegrationSnippet

API: GET/api/v1/integrations/{stack}
CLI: sendmock integrate <stack>
In the app: Settings > Connection

`sendmock_scenario_run`

Run a scenario file step by step and report each step.

Toolset scenario.

Input	Type	Description
scenariorequired	string	The scenario file's text, in TOML.Example: `name = "otp-login" [[steps]] run = "sample.send" with = { kind = "sms" }`

Example call

{
  "name": "sendmock_scenario_run",
  "arguments": {
    "scenario": "name = \"otp-login\"\n\n[[steps]]\nrun = \"sample.send\"\nwith = { kind = \"sms\" }"
  }
}

Result: ScenarioReport

API: POST/api/v1/scenarios/run
CLI: sendmock scenario run <file>
In the app: Scenarios > Run

`sendmock_scenario_validate`

Check a scenario file without running it.

Toolset scenario.

Read only

Input	Type	Description
scenariorequired	string	The scenario file's text, in TOML.Example: `name = "otp-login" [[steps]] run = "sample.send" with = { kind = "sms" }`

Example call

{
  "name": "sendmock_scenario_validate",
  "arguments": {
    "scenario": "name = \"otp-login\"\n\n[[steps]]\nrun = \"sample.send\"\nwith = { kind = \"sms\" }"
  }
}

Result: ScenarioValidation

API: POST/api/v1/scenarios/validate
CLI: sendmock scenario validate <file>
In the app: Scenarios > Validate

`sendmock://docs/skill`

The SendMock agent skill as Markdown.

Resource, read as text/markdown.

API: GET/api/v1/ai/skill
CLI: sendmock ai skill
In the app: Settings > Connection > AI agents > Download the skill