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Aug 01, 2024
Model Context Protocol (MCP) in Practice
Connecting SupportLogic Signals to Your Enterprise Agents
Wednesday, January 28, 2026
11am PST • 2pm EST
Your AI agents are only as good as the context they can reach.
In this session, we’ll introduce the SupportLogic MCP Server. A technology preview that lets you fuse SupportLogic’s signal intelligence (sentiment, frustration, escalation risk) and generative capabilities (summarization, draft replies) with your internal or third-party agents via the Model Context Protocol (MCP).
We’ll walk through a live demo where an agent, via MCP, pulls a multi-email thread (e.g., Gmail), runs SupportLogic signal extraction, generates a grounded draft response, and posts it without hopping across UIs.
You’ll see how MCP helps an agent sense what’s happening, decide what to do, and act on it — with built-in trust checks along the way and easy connection to the tools you already use.
What You’ll Learn:
- What MCP is and why it matters for agent–tool interoperability
- How the SupportLogic MCP Server exposes signals, summarization, and reply creation to any compliant agent
- How to build an agent flow: ingest messages → extract signals → generate drafts → push replies back (e.g., Gmail/CRM)
- How reasoning checkpoints reduce hallucination and improve auditability
- Patterns for bringing SupportLogic insights outside the SX platform (chatbots, portals, internal copilots)
- Quick-start steps: auth, endpoints, and common integration gotchas
If you’re building or buying agents, you need reliable customer context. This session shows a practical path to plug SupportLogic’s AI into your agent stack—so responses are faster and grounded in real customer signals.
Director Product Marketing,
SupportLogic
SX focused companies use SupportLogic
About SupportLogic SX
The Continuous Support Experience Platform
- Seamlessly integrate with your existing ticketing system
- Read every ticket and automatically extract signals using AI/NLP
- Maintain context across conversational and ticket boundaries
- Predict outcome and provide proactive recommendations with intelligent workflows