Render
Render MCP server
Render MCP server
Render 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
Render MCP server
Render MCP server
Render 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 Render 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 Render 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.
168
operation
s
available
Complete and up-to-date endpoint coverage by Mindflow.
168
operation
s
available
Complete and up-to-date endpoint coverage by Mindflow.
168
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 Render operation, as an MCP tool
Every Render 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:
Render
Render
Create environment
Create environment
Render
Render
Create project
Create project
Render
Render
Create service
Create service
Render
Render
Delete service
Delete service
Render
Render
Get the authenticated user
Get the authenticated user
Render
Render
List deploys
List deploys
Render
Render
List environments
List environments
Render
Render
List projects
List projects
Render
Render
List services
List services
Render
Render
List workspaces
List workspaces
Render
Render
Retrieve deploy
Retrieve deploy
Render
Render
Retrieve project
Retrieve project
Render
Render
Retrieve service
Retrieve service
Render
Render
Roll back deploy
Roll back deploy
Render
Render
Trigger deploy
Trigger deploy
Render
Render
Update service
Update service
Render
Create environment
Render
Create project
Render
Create service
Render
Delete service
Render
Get the authenticated user
Render
List deploys
Render
List environments
Render
List projects
Render
List services
Render
List workspaces
Render
Retrieve deploy
Render
Retrieve project
Render
Retrieve service
Render
Roll back deploy
Render
Trigger deploy
Render
Update service
Render
Render
Update service
Update service
Render
Render
Trigger deploy
Trigger deploy
Render
Render
Roll back deploy
Roll back deploy
Render
Render
Retrieve service
Retrieve service
Render
Render
Retrieve project
Retrieve project
Render
Render
Retrieve deploy
Retrieve deploy
Render
Render
List workspaces
List workspaces
Render
Render
List services
List services
Render
Render
List projects
List projects
Render
Render
List environments
List environments
Render
Render
List deploys
List deploys
Render
Render
Get the authenticated user
Get the authenticated user
Render
Render
Delete service
Delete service
Render
Render
Create service
Create service
Render
Render
Create project
Create project
Render
Render
Create environment
Create environment
Render
Update service
Render
Trigger deploy
Render
Roll back deploy
Render
Retrieve service
Render
Retrieve project
Render
Retrieve deploy
Render
List workspaces
Render
List services
Render
List projects
Render
List environments
Render
List deploys
Render
Get the authenticated user
Render
Delete service
Render
Create service
Render
Create project
Render
Create environment
Connect Render to your AI client in three steps.
01
Connect the service
Add Render 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 Render
What your AI agents can do with Render
AI clients
Mindflow
Render
→ Automate service scaling to handle fluctuating demand by triggering the scale instance count operation based on real-time metrics, reducing manual intervention and ensuring optimal resource use. → Streamline deployment workflows with auto-triggered deploys and rollback deploys to maintain application stability and speed up release cycles across multiple environments. → Manage Redis and Postgres instances automatically by provisioning, updating, or failing over databases, ensuring high availability and seamless data operations.
→ Automate service scaling to handle fluctuating demand by triggering the scale instance count operation based on real-time metrics, reducing manual intervention and ensuring optimal resource use. → Streamline deployment workflows with auto-triggered deploys and rollback deploys to maintain application stability and speed up release cycles across multiple environments. → Manage Redis and Postgres instances automatically by provisioning, updating, or failing over databases, ensuring high availability and seamless data operations.
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 Render 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 Render 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.
Render MCP server
Live
RBAC · SecOps
Scoped credentials
Audit log
Create environment
Allowed
Create project
Allowed
Create service
Needs approval
Delete service
Blocked
Every call logged · Export to SIEM
Questions about the Render MCP server
Clear answers before you connect an AI client.
Questions about the Render 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.