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.
Install, manage, and run MCP servers connected to AI agents.
Connects AI with local Python execution for greetings and tool integration demos.
Help AI agents discover and run enterprise tools securely.
Search, execute, and manage reusable Python tools for AI agents.
Run SQL, APIs, and sandboxed Python for multi-step research and data tasks.
Connect AI apps to multiple toolkits with hosted MCP and managed OAuth.