BridgeXAPI MCP Discovery Lab
The Model Context Protocol (MCP) is changing how AI agents interact with software.
Instead of hardcoding REST endpoints, AI systems can discover capabilities, inspect tool schemas, plan execution and observe results through a standardized protocol.
This hands-on lab walks through the complete BridgeXAPI MCP workflow using the official MCP Inspector.
You'll learn how to:
- Connect to a remote MCP server
- Discover available MCP tools
- Inspect tool definitions
- Plan message execution
- Execute an SMS
- Observe delivery reports
- Verify successful message delivery
Rather than focusing on theory, this guide demonstrates the complete AI-native messaging execution lifecycle with real screenshots from a live BridgeXAPI MCP server.
Execution lifecycle
Discover → Plan → Execute → Observe
Read the complete guide:
https://blog.bridgexapi.io/bridgexapi-mcp-discovery-lab
By the end of this lab, you'll understand how an MCP-compatible AI agent interacts with programmable messaging infrastructure—from capability discovery to verified message delivery.
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