Ziflow
Ziflow MCP server
Ziflow MCP server
Ziflow MCP server
for Claude, ChatGPT, Cursor and your own agents
for Claude, ChatGPT, Cursor and your own agents
for Claude, ChatGPT, Cursor and your own agents
Ziflow MCP server
Ziflow MCP server
Ziflow MCP server
for Claude, ChatGPT, Cursor and your own agents
for Claude, ChatGPT, Cursor and your own agents
for Claude, ChatGPT, Cursor and your own agents
Expose Ziflow to Claude, ChatGPT, Cursor or your own agents as a governed MCP server, even if the vendor doesn’t ship one. Mindflow turns every API operation into an MCP tool and keeps the connector current when the API changes. The MCP Gateway sits between your AI clients and your data, with scoped access, human approval before sensitive writes and a record of every call.
Expose Ziflow to Claude, ChatGPT, Cursor or your own agents as a governed MCP server, even if the vendor doesn’t ship one. Mindflow turns every API operation into an MCP tool and keeps the connector current when the API changes. The MCP Gateway sits between your AI clients and your data, with scoped access, human approval before sensitive writes and a record of every call.
85
operation
s
available
Complete and up-to-date endpoint coverage by Mindflow.
85
operation
s
available
Complete and up-to-date endpoint coverage by Mindflow.
85
operation
s
available
Complete and up-to-date endpoint coverage by Mindflow.
Our customers scale automation with security built in.
Tools exposed by this MCP server
Every Ziflow operation, as an MCP tool
Every Ziflow operation, as an MCP tool
Each API operation becomes a tool your AI client can call. You decide which ones: allow reads, require approval before sensitive writes and block the rest. A few of the most used:
Ziflow
Ziflow
Add comment to proof
Add comment to proof
Ziflow
Ziflow
Add user
Add user
Ziflow
Ziflow
Create new folder
Create new folder
Ziflow
Ziflow
Create new proof
Create new proof
Ziflow
Ziflow
Create webhook subscription
Create webhook subscription
Ziflow
Ziflow
Delete proof
Delete proof
Ziflow
Ziflow
Delete user
Delete user
Ziflow
Ziflow
Get comments for proof
Get comments for proof
Ziflow
Ziflow
Get folder by id
Get folder by id
Ziflow
Ziflow
Get proof by id
Get proof by id
Ziflow
Ziflow
Get proofs
Get proofs
Ziflow
Ziflow
Get users
Get users
Ziflow
Ziflow
Get webhook subscriptions
Get webhook subscriptions
Ziflow
Ziflow
Like comment
Like comment
Ziflow
Ziflow
Resolve comment
Resolve comment
Ziflow
Ziflow
Update an existing proof
Update an existing proof
Ziflow
Add comment to proof
Ziflow
Add user
Ziflow
Create new folder
Ziflow
Create new proof
Ziflow
Create webhook subscription
Ziflow
Delete proof
Ziflow
Delete user
Ziflow
Get comments for proof
Ziflow
Get folder by id
Ziflow
Get proof by id
Ziflow
Get proofs
Ziflow
Get users
Ziflow
Get webhook subscriptions
Ziflow
Like comment
Ziflow
Resolve comment
Ziflow
Update an existing proof
Ziflow
Ziflow
Update an existing proof
Update an existing proof
Ziflow
Ziflow
Resolve comment
Resolve comment
Ziflow
Ziflow
Like comment
Like comment
Ziflow
Ziflow
Get webhook subscriptions
Get webhook subscriptions
Ziflow
Ziflow
Get users
Get users
Ziflow
Ziflow
Get proofs
Get proofs
Ziflow
Ziflow
Get proof by id
Get proof by id
Ziflow
Ziflow
Get folder by id
Get folder by id
Ziflow
Ziflow
Get comments for proof
Get comments for proof
Ziflow
Ziflow
Delete user
Delete user
Ziflow
Ziflow
Delete proof
Delete proof
Ziflow
Ziflow
Create webhook subscription
Create webhook subscription
Ziflow
Ziflow
Create new proof
Create new proof
Ziflow
Ziflow
Create new folder
Create new folder
Ziflow
Ziflow
Add user
Add user
Ziflow
Ziflow
Add comment to proof
Add comment to proof
Ziflow
Update an existing proof
Ziflow
Resolve comment
Ziflow
Like comment
Ziflow
Get webhook subscriptions
Ziflow
Get users
Ziflow
Get proofs
Ziflow
Get proof by id
Ziflow
Get folder by id
Ziflow
Get comments for proof
Ziflow
Delete user
Ziflow
Delete proof
Ziflow
Create webhook subscription
Ziflow
Create new proof
Ziflow
Create new folder
Ziflow
Add user
Ziflow
Add comment to proof
Connect Ziflow to your AI client in three steps.
01
Connect the service
Add Ziflow in Mindflow with its credentials. They stay in Mindflow and never reach the AI client.
02
Choose the tools
Pick the operations each AI client may call. Allow reads, require approval before sensitive writes and block the rest.
03
Connect your AI client
Point Claude, ChatGPT, Cursor or your own agent to your MCP Gateway endpoint, then check real calls in the audit log.
Use cases
Use cases
What your AI agents can do with Ziflow
What your AI agents can do with Ziflow
AI clients
Mindflow
Ziflow
→ Reduce delayed approvals by automating proof creation and reviewer assignments, ensuring timely feedback through sequential API-driven status and comment updates. → Minimize errors in review cycles by automatically resolving comments and updating integration properties, streamlining feedback consolidation across teams. → Enhance audit readiness by exporting proof summaries and comments to PDFs via triggers, facilitating compliance documentation with minimal manual intervention.
→ Reduce delayed approvals by automating proof creation and reviewer assignments, ensuring timely feedback through sequential API-driven status and comment updates. → Minimize errors in review cycles by automatically resolving comments and updating integration properties, streamlining feedback consolidation across teams. → Enhance audit readiness by exporting proof summaries and comments to PDFs via triggers, facilitating compliance documentation with minimal manual intervention.
Every call goes through one governed endpoint.
Every call goes through one governed endpoint.
Your AI clients get access. You keep control.
Your AI clients get access. You keep control.
Every call to Ziflow goes through the Mindflow MCP Gateway. The same policies apply to every AI client: role-based access by team and environment, scoped credentials that never reach the client, human approval before sensitive writes, and a log of every call you can export to your SIEM.
Every call to Ziflow goes through the Mindflow MCP Gateway. The same policies apply to every AI client: role-based access by team and environment, scoped credentials that never reach the client, human approval before sensitive writes, and a log of every call you can export to your SIEM.
Ziflow MCP server
Live
RBAC · SecOps
Scoped credentials
Audit log
Add comment to proof
Allowed
Add user
Allowed
Create new folder
Needs approval
Create new proof
Blocked
Every call logged · Export to SIEM
Questions about the Ziflow MCP server
Clear answers before you connect an AI client.
Questions about the Ziflow MCP server
Clear answers before you connect an AI client.
Explore more MCP servers in our catalog of 4,000+ services.
Put this MCP server to work.
Bring one AI client and the tools it needs. We’ll show you the setup in Mindflow, from scoped access to the audit log.
Put this MCP server to work.
Bring one AI client and the tools it needs. We’ll show you the setup in Mindflow, from scoped access to the audit log.
Less busywork. More possibility.
Let your agents handle the routine. Make room for what comes next.
Resources
Automation intelligence, delivered monthly.
Product releases, automation playbooks, and security research — straight to your inbox. No spam, unsubscribe anytime.
Less busywork. More possibility.
Let your agents handle the routine. Make room for what comes next.
Resources
Automation intelligence, delivered monthly.
Product releases, automation playbooks, and security research — straight to your inbox. No spam, unsubscribe anytime.
Less busywork. More possibility.
Let your agents handle the routine. Make room for what comes next.
Resources
Automation intelligence, delivered monthly.
Product releases, automation playbooks, and security research — straight to your inbox. No spam, unsubscribe anytime.