// In any MCP-compatible assistant, just ask: "What's going on with the ACME-Corp account right now?" // → Claude calls the SupportLogic MCP server // → Gets grounded, cited context // → Responds with real signals tool: "supportlogic.account.health" input: { account: "acme-corp" } → returns: { health_score: 42, trend: "declining", open_escalations: 3, top_signals: ["frustration", "competitive_threat"], recommended_action: "executive_outreach" }
# Direct REST call — no MCP client needed curl -X POST https://api.supportlogic.com/v1/accounts/health \ -H "Authorization: Bearer $SL_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "account": "acme-corp", "window": "last_30d", "include": ["signals", "escalations", "recommendations"] }'
# Python SDK from supportlogic import SupportLogic sl = SupportLogic(api_key=os.environ["SL_API_KEY"]) # Subscribe to escalation signals for alert in sl.alerts.subscribe( signal_types=["escalation_predicted", "churn_risk"], min_score=75 ): notify_slack(alert.account, alert.recommended_action)
-- Query SupportLogic signals directly from Snowflake SELECT account_name, health_score, escalation_probability, top_signal, last_updated FROM supportlogic.account_signals WHERE health_score < 50 AND escalation_probability > 0.7 ORDER BY last_updated DESC;
// WHY MCP MATTERS
AI assistants without context are just guessing.
A general-purpose LLM doesn’t know your customers, your cases, or your account history. MCP changes that — and SupportLogic gives you the cleanest signal layer in the industry to plug into it.
Grounded answers
Every response cites the case, call, signal, or KB article it came from. No hallucinated customer history. No invented sentiment scores.
Persistent context
The Context Agent maintains memory across years of relationship — not just the current LLM token window. Every assistant gets the long view.
Permissioned access
MCP respects the access controls of your source systems. Account executives see their accounts. Engineers see their cases. Nothing leaks.
Single truth
Claude, ChatGPT, your in-house apps, and your CRM widgets all see the same source of truth. No more “which dashboard is right?”
// MCP TOOL CATALOG
Every agent, every signal. One protocol.
The SupportLogic MCP Server exposes a curated set of tools that map cleanly to how AI assistants think about customer context. Browse the catalog. Pick what your assistant needs.
// WHAT YOU CAN BUILD
From a Slack bot to an executive cockpit.
Customers use the MCP Server to ship in days what used to take a quarter. Pick a pattern that fits your team or invent your own.
Executive briefings
Ask Claude or ChatGPT for a Monday-morning rundown of the top 5 at-risk accounts. Get a cited, current answer in 30 seconds — not a 90-minute prep call.
Slack copilots
Drop a bot into your support channels that answers questions about cases, accounts, and resolutions — using your real data, not a generic LLM’s guess.
Vibe-coded tools
An engineering manager builds a custom dashboard in Cursor on a Friday afternoon. The MCP Server makes the data layer trivial. The agent layer comes free.
Customer-facing assistants
Power a help-portal assistant that answers customer questions using your KB and their own case history — cited, accurate, on-brand.
CRM widgets
Embed a SupportLogic widget inside Salesforce, Zendesk, ServiceNow, or Jira. Agents get the same MCP-grounded answers without leaving their primary tool.
Automated workflows
Subscribe to signal streams and trigger downstream actions — escalation review, exec alerts, account-team handoff — with no engineering overhead.
// BEYOND MCP
Two more open surfaces for everything else you’ll build.
MCP is the right protocol for AI assistants. But not everything is an AI assistant. The Data Cloud and REST API give your data team and your engineering team first-class access to the same substrate.
Data Cloud
A Snowflake-native system of record for every signal, score, and prediction SupportLogic generates. Query it from your warehouse. Join it with your billing data. Power your BI tools, your CDP, your CS workflow engine.
- Snowflake-native. Use your own instance or one we provide.
- Read + write. Push signals back into Salesforce, Gainsight, anywhere.
- BI-ready. Tableau, Looker, ThoughtSpot, Hex — all work out of the box.
- Customer-facing. Power a hyper-personalized customer portal.
REST API
For everything that isn’t an AI assistant: webhook subscriptions, batch jobs, automation platforms, custom backend systems. Every MCP tool has a REST equivalent. Auth is OAuth or bearer token. Rate limits scale with your tier.
- Full coverage. Every signal, score, and agent action is API-accessible.
- Webhooks. Subscribe to events — no polling required.
- SDKs. Python, Node, Go, Ruby. TypeScript types for everything.
- Versioned. Deprecations announced 12 months in advance.
// Security & Compliance
Single-tenant. Zero-copy.
Built for regulated enterprise.
MCP makes data accessible. SupportLogic makes sure only the right things get accessed, by the right people, with full audit trails.
Single-Tenant VPC
Models run inside a Virtual Private Cloud dedicated to your data. Inference never leaves your boundary. No multi-tenant LLM shortcuts.
Zero-Copy Architecture
Source data is never replicated to shared infrastructure. The Data Extraction Agent reads, normalizes, and processes — without copying out.
Advanced Data Protection
Row- and column-level filtration. PII and sensitive field redaction. SHA-256 / RSA encryption. OAuth and TLS 1.2+ throughout.
// QUICKSTART
From zero to grounded AI in three steps.
If SupportLogic is already deployed on your data, you can wire the MCP Server into Claude or ChatGPT in under five minutes.
Get your endpoint
In the SupportLogic Command Center, navigate to Settings → MCP Server → Generate Credentials.
v1/your-tenant-id
Add to your assistant
Paste the endpoint and bearer token into Claude, ChatGPT, or any MCP client. Done — no engineering required.
–url …
–token …
Ask anything
“What’s going on with ACME-Corp?” “Top 5 at-risk accounts this week.” “Draft a reply to case 70577.” Claude does the rest.
16 tools available
✓ ready
Stop building data wrappers for every AI feature.
SupportLogic gives you the substrate. Your team builds on top — in Claude, in Cursor, in Slack, in whatever framework ships next quarter.