Nexus MCP Ecosystem
Universal knowledge infrastructure for AI applications
12+
Data Sources
50K+
Documents Indexed
89%
Query Accuracy
Project Visual
The Challenge
A growing company had knowledge scattered across dozens of tools—Notion, Google Drive, Slack, internal wikis, and more. Their AI tools couldn't access this information effectively, leading to incomplete answers and frustrated users who still had to search manually.
The Solution
Kyto architected a comprehensive MCP (Model Context Protocol) server ecosystem that unified access to all knowledge sources. Leopard Swiss built the automation layer for continuous syncing and indexing. The result was a single knowledge layer that any AI application could query, with proper permissions and source citations.
The Outcome
All company knowledge now accessible through a unified API. AI assistants answer questions with full context and source citations. New data sources can be added in hours, not weeks. The system now powers internal chatbots, documentation search, and customer support tools.
“Now their AI actually knows what it's talking about. Context is everything.”
Kyto
Knowledge Systems & RAG
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