Securely connect AI agents to customer data for governed support workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ToolBridge" yet — see the docs or source repo.
Design a governance setup in ToolBridge for a support AI accessing customer data, including role permissions, allowed fields, sensitive field redaction rules, and human approval steps for high-risk actions.
A structured access and approval policy for securely configuring support AI workflows.
Use ToolBridge to plan a refund support workflow: the AI reads order and customer information, generates a refund recommendation, and requires human approval before execution when the amount exceeds a threshold.
A refund automation workflow outlining data access, decision rules, approval steps, and execution limits.
Create a data redaction policy in ToolBridge for customer support scenarios, listing display rules for fields such as name, email, phone number, and payment data across roles, and define what the AI can see.
A role-based field redaction matrix and AI visibility scope for compliant implementation.
Securely discover, run, and audit tools for AI agents via MCP.
Discover, chain, and execute AI tools through a centralized MCP registry.
Install, manage, and run MCP servers connected to AI agents.
Securely equips AI agents with executable tools for commands, search, and file operations.
Securely search customer and ticket data, and create tickets with approval.
Add a zero-trust security gateway to inspect and control MCP tool calls.