No Manual Exports
Work directly with live customer data instead of stale, static CSV files.
Connect Cursor, Claude Desktop, Windsurf, and custom LLMs directly with Supsis customer support data and actions.
Place customer support data directly into modern AI workflows.
Work directly with live customer data instead of stale, static CSV files.
Build custom AI support tooling in minutes based on open standards.
Define strictly which tools and data sets the AI model has access to.
Delegate routine data entry and conversation reviews to autonomous agents.
Works seamlessly with Claude, GPT models, or local self-hosted LLMs.
AI models always generate grounded answers with the latest customer context.
Popular implementations by developers and enterprises.
Have Claude Desktop review conversations and provide actionable agent feedback.
Extract customer bug reports from chat logs directly into Jira or GitHub Issues.
Scan weekly transcripts to summarize emerging product complaints and trends.
Build intelligent knowledge bots for your internal support and sales teams.
Generate FAQ and documentation drafts automatically from resolved tickets.
AI models retrieve customer profiles, chat histories, and ticket statuses in real time.
Allow AI agents to assign tags, update ticket statuses, or draft responses.
Connect your development environments and desktop assistants in minutes.
Granular permissions and encrypted keys ensure controlled and safe AI access.
Connect your AI models with Supsis data in 3 steps.
Create a secure MCP access token from the Supsis Developer panel.
Add the Supsis MCP server command into your Claude Desktop or Cursor mcp.json.
Ask your AI assistant for real-time customer analytics and ticket operations.
Model Context Protocol (MCP) is an open standard protocol developed by Anthropic. Supsis MCP Server allows your AI models to read customer conversations, analyze sentiment, and execute actions directly in Supsis.
Visit our developer documentation for deep technical specifications.
Visit Our Documentation Page →Learn More