$ loading_
Expose Moleculer microservice actions as AI tools for agent integration.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Moleculer MCP Bridge" yet — see the docs or source repo.
Based on my Moleculer service list, configure the MCP Bridge and expose these three actions as AI-callable tools: user lookup, order status, and inventory check. Provide setup steps, sample configuration, and usage instructions.
Provides a bridge setup plan, example exposed tool definitions, and instructions for how an agent can call the services.
I want an AI support assistant to call refund lookup and shipment tracking services through Moleculer MCP Bridge. Design the tool exposure approach, parameter schema, error handling, and access control recommendations.
Outputs a support-oriented tool design covering parameters, failure responses, and key security controls.
Moleculer MCP Bridge is deployed, but AI calls to actions often fail. Help me create a troubleshooting checklist covering service discovery, action mapping, parameter validation, timeouts, logs, and permission issues.
Gives a systematic troubleshooting checklist to identify failures between the bridge layer and microservices.
Build MCP servers quickly to expose app data and actions to AI clients.
Aggregate local MCP servers into one endpoint with runtime control and hot reload.
Dynamically bridge and register MCP capabilities with two-way client communication.
Register multiple AI endpoints and auto-route models by capability.
Connect to the mcp API via MCP to extend AI tool capabilities.
Convert OpenAPI specs into MCP tools for fast LLM API integration.