Is Agent Toolkit free?

Yes, Agent Toolkit is free to use.

How do I install Agent Toolkit?

Agent Toolkit is a remote plugin. You do not need to install anything locally. Add the server URL to your AI app's MCP configuration and you are ready to go.

Is Agent Toolkit safe to use?

Yes. Agent Toolkit passed MCP Marketplace's automated security scan with a score of 10/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What credentials does Agent Toolkit need?

Agent Toolkit requires the following credentials or environment variables: AUDRYO_API_KEY, AUDRYO_PROJECT_ID, AUDRYO_API_BASE. You can find setup instructions on the server detail page.

What AI apps work with Agent Toolkit?

Agent Toolkit uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Agent Toolkit MCP Server

by Audryo

Developer ToolsLow Risk10.0MCP RegistryRemote

Free

Server data from the Official MCP Registry

Lifecycle email for agents: journeys, campaigns, contacts, consent and delivery health.

About

Lifecycle email for agents: journeys, campaigns, contacts, consent and delivery health.

Remote endpoints: streamable-http: https://mcp.audryo.com/mcp

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

Endpoint verified · Requires authentication · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Found in Source Code

Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.

env_vars

Applies to the server that hosts this plugin, not to your machine.

file_system

Applies to the server that hosts this plugin, not to your machine.

HTTP Network Access

Connects to external APIs or services over the internet.

What You'll Need

Set these up before or after installing:

yesOptional

Environment variable: AUDRYO_API_KEY

for project toolsOptional

Environment variable: AUDRYO_PROJECT_ID

noOptional

Environment variable: AUDRYO_API_BASE

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "com-audryo-audryo": {
      "url": "https://mcp.audryo.com/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Audryo agent toolkit

Let your AI agent run your lifecycle email: audiences, journeys, campaigns, emails and transactional sends in Audryo, through the same API the app uses. Your agent does the setup work; nothing reaches a customer until a person approves it.

This repo ships the audryo CLI, an MCP server and agent skills for Claude Code, Codex, Cursor and any other MCP client.

You:   Set up an onboarding journey for signups who haven't created a
       project after 3 days.

Agent: Reads your data schema, builds the audience, drafts a three-email
       journey, dry-runs it and fast-forwards it in the sandbox. Then it
       hands back what to review. Nothing has been sent.

Safety model

Drafts by default. Journeys, emails and campaigns an agent creates are review-only proposals.
Sending needs deliver. Without that scope a key cannot activate a journey or send anything, even by mistake. With it, Audryo still requires a passing dry run and confirmed emails.
Sandbox first. New projects capture every email in a sandbox inbox, so agents can test real journeys end to end. Going live is a human decision in the app.
Retry-safe. Sends and proposals take an Idempotency-Key, so a retried call never sends twice.
No inferred consent. Ingesting contacts never grants marketing consent.

Quick start

Sign up (free during the public beta) and create a project. It starts in the sandbox.
Create an API key under Settings → Developer with the smallest scope that works (see Configuration).
Connect your agent:

Claude Code (plugin: MCP server + skills)

export AUDRYO_API_KEY="sf_live_..."
claude plugin marketplace add Audryo/agent-toolkit
claude plugin install audryo@audryo

Any agent: skills only

npx skills add Audryo/agent-toolkit

Any MCP client

{
  "mcpServers": {
    "audryo": {
      "command": "npx",
      "args": ["-y", "audryo", "mcp"],
      "env": {
        "AUDRYO_API_KEY": "sf_live_...",
        "AUDRYO_PROJECT_ID": "<project-uuid>"
      }
    }
  }
}

Codex: codex mcp add audryo --env AUDRYO_API_KEY=sf_live_... -- npx -y audryo mcp

Configuration

Variable	Required	Default
`AUDRYO_API_KEY`	yes	—
`AUDRYO_PROJECT_ID`	for project tools	list with `npx audryo bootstrap`
`AUDRYO_API_BASE`	no	`https://api.audryo.com/v1`

Give agents the smallest key that works:

Task	Scopes
Inspect	`read`
Sync data, draft journeys, emails and campaigns	`read`, `write`
Activate journeys, send campaigns and transactional email	`read`, `write`, `deliver`

MCP tools

Area	Tools	Scope
Orient	`get_manifest`, `get_bootstrap`, `get_setup_context`, `get_brief`, `get_plan_usage`	read
Product and data	`get_product_context`, `get_data_context`, `list_contacts`, `ingest_contacts`, `ingest_events`	read / write
Audiences	`list_audiences`, `get_audience`, `preview_audience`, `create_audience`, `update_audience`, `delete_audience`, `suggest_audiences`	read / write
Journeys	`list_journeys`, `inspect_journey`, `create_journey_proposal`, `revise_journey`, `propose_from_finding`, `run_dry_run`	read / write
Emails	`create_email`, `create_journey_email`	write
Campaigns	`list_campaigns`, `draft_campaign`	read / write
Sandbox	`get_delivery_mode`, `list_sandbox_messages`, `get_sandbox_message`, `fast_forward_journey`	read / write
Insights	`get_delivery_health`, `get_performance`, `get_observation`, `run_observation`, `get_copilot_plan`	read
Go live	`activate_journey`, `pause_journey`, `send_campaign`, `send_transactional`	deliver

Every tool is also a CLI command.

CLI

npx audryo bootstrap
npx audryo contacts ingest contacts.json
npx audryo events ingest events.json
npx audryo journeys list
npx audryo journeys inspect <workflowId>
npx audryo audiences create --name "All contacts" --definition '{"operator":"and","conditions":[]}'
npx audryo campaigns draft --name "July update" --audience-id <id> --subject "What's new"
npx audryo delivery health

Skills

Skill	Teaches the agent to
`audryo-api`	Connect, pick scopes, use MCP or CLI instead of curl, stop at review
`audryo-email`	Build valid email documents, handle locales, save drafts for review
`audryo-sending`	Choose communication classes, respect consent, protect deliverability

Full guide: https://app.audryo.com/docs/agents/quickstart

Contributing

Issues and pull requests are welcome. See CONTRIBUTING.md and the changelog. Report security issues privately: SECURITY.md.

License: MIT

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