Agent over MCP
Prebuilt context, served to any agent over MCP
Shanc serves your definitions over MCP — the open standard supported by Claude, ChatGPT, Cursor, Copilot and every major agent platform. Connect once, and each agent answers from the same business logic, with context arriving prebuilt rather than re-derived on every question.
- Works in Claude, ChatGPT, Cursor, Copilot and custom agent stacks
- Definitions arrive prebuilt — no schema exploration per query
- Agents search and retrieve exactly the definitions a question needs
How it works
One connection
Plug the layer into your whole stack
Shanc runs as an MCP server. Point any agent at it — the tools your team already uses today, and the ones they adopt next quarter. Your context stops being tied to a single AI front door.
Prebuilt, not re-derived
Context arrives ready to use
Without a layer, an agent rebuilds its understanding of your warehouse on every question: exploring tables, reading schema, guessing at joins, burning tokens. Shanc hands it the finished definitions instead — the answer starts from your business logic, and the exploration bill disappears.
Searchable definitions
Agents find the context a question needs
The layer is exposed as MCP tools agents can search: a question about churn retrieves your churn definition, its calculation logic, and the entities it depends on. Precise retrieval means small payloads — full accuracy without flooding the context window.
Your agents are multiplying. Their context shouldn’t.
MCP SDK downloads passed 97 million per month within 18 months of launch, with OpenAI, Google and Microsoft all shipping support and governance moving to the Linux Foundation. Context served over MCP reaches every agent your team uses now, and every one they adopt later. (Anthropic / Linux Foundation, Dec 2025)
72% of data teams now prioritize AI-assisted coding in their development workflows. Agents are already in the daily loop, across multiple tools — and each one needs the same business context to answer correctly. (dbt Labs, State of Analytics Engineering 2026)
Gartner predicts at least 15% of day-to-day work decisions will be made autonomously by agentic AI by 2028. A decision made without a human in the loop is only as good as the context behind it — and only consistent if every agent draws from the same layer. (Gartner, 2025)
Context that lives in one tool is a silo. Context served over MCP is infrastructure.