Ziflow MCP. Automate content review and approvals instantly.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Ziflow connects your AI agent directly to a professional online proofing and content review system. It lets you automate the entire creative approval lifecycle—from finding specific assets to generating secure links for reviewers, all through natural conversation.
What your AI agents can do
Create proof
Create a new proof
Create webhook
created.
Create a new webhook
Get account info
Get account profile
Search across all active proofs or filter by project code to locate any asset.
Create temporary, protected URLs that reviewers can use to view content without needing internal system access.
List all team members or browse through the top-level folders where your proofing assets are stored.
Submit a formal decision, marking an asset as approved or rejected within the system record.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Ziflow: 12 Tools for Content Workflow Management
Use these tools to search, create, retrieve metadata, and manage every step of the content review process via your AI agent.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Ziflow on Vinkius019dd18ecreate proof
Create a new proof
019dd18ecreate webhook
created. Create a new webhook
019dd18eget account info
Get account profile
019dd18eget contact by email
Find contact by email
019dd18eget proof
Get proof details
019dd18eget proof viewer url
Generate review link
019dd18elist folders
List proof folders
019dd18elist integration properties
List proof metadata
019dd18elist team users
List all users
019dd18elist webhooks
List active webhooks
019dd18esearch proofs
Search for proofs
019dd18esubmit decision
Submit proof decision
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Ziflow, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,000+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Ziflow. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The Status Check Nightmare
Today, tracking a piece of content is a manual nightmare. You open email to see comments; you click into the shared drive to check the version number; then you jump onto the project management board to see if someone assigned it to QA. It’s copy-pasting URLs and switching tabs constantly just to answer: 'Is this ready?'
With this MCP, your agent handles that entire loop in one prompt. You tell it what asset you need, and it pulls up all the status information—the current version, who was assigned it, and if a decision has been recorded—giving you an immediate, clean answer.
Getting Approval Status with `get_proof`
Instead of emailing the project manager asking for the current status, you let your agent call `get_proof`. It instantly returns structured data detailing everything: the asset's creation date, its current version number, and who has access rights. No more guessing.
Now, knowing a proof's full history and status is an automated process that takes two seconds instead of twenty minutes of cross-platform investigation.
What you can do with this MCP connector
Stop clicking through dozens of tabs just to track one asset's status. This MCP lets your AI agent manage complex content reviews by talking to Ziflow directly. Need to know if the 'Q3 Campaign Video' is approved? Just ask. It pulls up the proof details, tracks versions, and tells you who needs to sign off next.
You can generate secure viewer links on demand or find assets based on project codes. If a key approval step happens—like an asset being rejected—you can even get real-time alerts configured for it. Because this process involves so many moving parts, keeping track of what happens is critical. That's where Vinkius AI Analytics helps; you always know exactly which proofs were checked and what data flowed through the system every time your agent runs a query.
It turns slow, manual review cycles into fast, conversational workflows.
019dd18f-2da8-70fa-abaa-bca43c8f4e4b 
How Ziflow MCP Works
- 1 First, subscribe to this MCP and enter your Ziflow API Token in the required profile settings.
- 2 Next, connect your AI client. Your agent now sees all 12 available tools for content management.
- 3 Finally, prompt your agent with a request—like 'Find the latest version of the Q3 ad assets'—and it runs the necessary calls to give you the answer.
The bottom line is that you treat an entire enterprise workflow like a single chat command.
Who Is Ziflow MCP For?
Creative Directors, Marketing Operations Managers, and Production Coordinators. You're the person whose day gets filled with status updates: 'Did anyone look at the logo pack yet?' or 'What version is this?'. This MCP solves that constant cycle of chasing down assets and approvals.
Uses it to build automated approval chains, ensuring content moves from draft to final sign-off without manual tracking.
Manages multiple client proofs simultaneously, quickly locating specific assets or generating reviewer links for different teams.
Tracks asset versions and monitors webhooks to know the instant a proof changes status across departments.
What Changes When You Connect
- Stop hunting down reviewer links. Use the
get_proof_viewer_urltool to generate secure, temporary viewing links for external partners in seconds. - Never lose track of where an asset lives; use
list_foldersandsearch_proofsto quickly locate proofs by project code or category name. - Speed up internal communication. Instead of digging through spreadsheets, the agent can find a contact using
get_contact_by_emailand instantly know their role in the workflow. - Automate status reporting. You don't have to check dashboards constantly. Use
list_webhooksandcreate_webhookto configure real-time alerts when an asset changes state. - Maintain audit trails. When a final decision is reached, use
submit_decisionto formally record the approval or rejection status for compliance tracking.
Real-World Use Cases
Client Sign-Off Tracking
The campaign lead asks the agent: 'Find all proofs tagged with SKU 890 and generate review links for the three main contacts.' The agent uses search_proofs to filter assets, then calls get_contact_by_email repeatedly, generating necessary viewing URLs so the client can sign off immediately.
Post-Mortem Analysis
The team needs to know why a project stalled. The agent uses get_proof and list_integration_properties on the asset ID, pulling all metadata attached—like the original product code or required department—to determine the bottleneck.
Onboarding New Reviewers
A new agency partner needs access. The agent calls list_team_users to confirm who they are, and then uses a function like create_proof to set up their initial review asset immediately.
The Tradeoffs
Searching by vague keywords
Asking the agent: 'Show me stuff about marketing.' This returns thousands of results and gives no actionable status.
→
Be specific. Use search_proofs and include a project code or date range, like 'Search proofs for Q3 2024 video assets'.
Trying to manually track versions
Having to log into multiple platforms (email, drive, system) just to see if the proof is v1, v2, or final.
→
Use get_proof with a specific ID. The agent retrieves all version history and current status in one call.
Ignoring required metadata
Approving an asset without knowing which product SKU it belongs to, creating compliance risk.
→
Always check the associated data first by calling list_integration_properties before finalizing a decision with submit_decision.
When It Fits, When It Doesn't
Use this MCP if your core problem is managing complex, multi-stage creative approvals across different departments. If you need to track who saw it, when they saw it, and what their formal status decision was (Approved/Rejected), this is essential. Don't use it if all you need is simple file storage or basic document sharing; for that, a standard cloud drive works fine. However, if your process requires generating secure links for external partners, managing version control across multiple assets, or building real-time alerts on status changes, then this MCP provides the necessary connective tissue.
Common Questions About Ziflow MCP
How do I start a new review with the create_proof tool? +
You simply instruct your agent to use create_proof. You provide the title, target folder, and initial asset details, and it handles the creation process within Ziflow.
Can I generate a viewer link using get_proof_viewer_url? +
Yes. Providing the proof ID is all you need. The tool generates a temporary, secure URL that external reviewers can use to see the content without logging into your system.
What is the best way to track status changes with Ziflow? +
Use create_webhook. You set up specific triggers (e.g., 'when decision submitted') and receive real-time notifications, so you never have to manually check the platform again.
How do I find a contact using get_contact_by_email? +
Just give the agent the email address. It searches your user directory and returns full profile details for that person, making sure you're talking to the right team member.
How do I set up real-time updates using the `create_webhook` tool? +
You create a webhook endpoint that triggers when specific events happen in Ziflow. This lets your agent receive instant notifications about proof changes without needing to constantly poll the system.
What kind of metadata can I manage using the `list_integration_properties` tool? +
You retrieve and update key-value properties associated with a proof or project. This is useful for attaching crucial business data, like product SKUs or specific project codes, directly to the content review record.
After reviewing a proof, how do I submit the final decision using the `submit_decision` tool? +
You pass your approval or rejection status along with any necessary comments to finalize the review cycle. This action updates the master record and signals the next step needed in the workflow.
How do I get a list of all users managed by my organization using the `list_team_users` tool? +
This tool fetches an exhaustive roster of contacts and collaborators within your Ziflow account. You use this data to ensure you're targeting the right person for review links or necessary approvals.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.