Bring Online Proofing
to Mastra AI
Learn how to connect Ziflow to Mastra AI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Ziflow MCP Server?
Connect your Ziflow account to any AI agent to automate your creative review and approval processes through natural conversation.
What you can do
- Proof Management — Search for proofs, track versions, and monitor review statuses across your entire organization.
- Reviewer Experience — Generate secure viewer URLs for reviewers and manage contacts/team users efficiently.
- Decision Tracking — Submit approval decisions and manage integration properties for cross-platform synchronization.
- Real-time Events — Configure and monitor webhooks to stay updated on proofing events in real-time.
- Asset Organization — Manage assets associated with product SKUs or project codes directly through the AI interface.
How it works
1. Subscribe to this server
2. Enter your Ziflow API Token (from Profile settings)
3. Start managing your content reviews from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Creative Agencies — automate content review cycles and decision tracking for multiple clients.
- Marketing Departments — streamline brand approvals and manage internal feedback workflows more efficiently.
- Production Teams — track asset versions and generate review links without leaving the project workspace.
Built-in capabilities (12)
Create a new proof
created. Create a new webhook
Get account profile
Find contact by email
Get proof details
Generate review link
List proof folders
List proof metadata
List all users
List active webhooks
Search for proofs
Submit proof decision
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Ziflow tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Ziflow without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Ziflow tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Ziflow in Mastra AI
Ziflow and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Ziflow to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Ziflow in Mastra AI
The Ziflow MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Ziflow for Mastra AI
Every tool call from Mastra AI to the Ziflow MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find a specific Proof ID?
You can use the search_proofs tool to list all active proofs. The IDs will be provided in the results, allowing you to drill down into specific versions or generate viewer links.
What kind of assets can I manage with this integration?
Ziflow supports a wide range of creative assets, including images, videos, PDFs, and live websites. The integration allows you to query and manage metadata for any asset stored in your account.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp