How-to guide
A single source of truth for AI agents
When every agent answers from its own copy of the facts, they drift. A single source of truth over MCP gives all your AI agents one connected, current knowledge layer.
Connect your knowledge over MCP
A single source of truth for AI agents is one connected knowledge layer that every agent queries, instead of each agent carrying its own pasted context and uploaded files. When the facts live in one place and agents retrieve from it over MCP, they all answer from the same current knowledge. When the facts are scattered across chats and tools, agents drift and contradict each other.
How agents lose the plot
Without a shared source, every agent has its own copy of the truth: a document pasted into one chat, a file uploaded to another, a snippet in a system prompt somewhere else. Each copy ages independently. One agent cites last quarter’s policy, another cites this quarter’s, and neither knows the other exists. The contradictions are not a model failure; they are a data-architecture failure.
of the truth
current answer
How to set it up
- Put the facts in one knowledge layer. Connect your documents and sources to brains, scoped by domain, instead of scattering them across chats and prompts.
- Expose them over MCP. A single endpoint per brain means every agent reads from the same place rather than its own copy.
- Point every agent at it. Claude, ChatGPT, and any MCP agent connect to the same endpoints, so they share one source.
- Update in one place. When a fact changes, you change it in the source. Every agent picks it up on the next query, with no copies to chase down.
What you get
- Consistency. Agents answer the same question the same way because they read the same source.
- Currency. One update propagates to every agent on the next query, so nobody is quoting a stale copy.
- Governance. When the truth lives in one connected layer, you can scope access and see what agents can answer from, instead of tracking down loose files.
- Portability. The source is not tied to one assistant, so switching or adding tools does not fork your knowledge again.
A single source of truth is not a mandate to centralize every document into one giant brain. It is one connected layer of scoped brains that agents share, so there is exactly one current answer per fact.
Connect your knowledge over MCP
Create or subscribe to a brain on KBrain, then connect its MCP endpoint to Claude, ChatGPT, or any MCP compatible assistant in a few minutes.
Frequently asked questions
Why do AI agents give inconsistent answers?
Usually because each one reads from a different copy of the facts, pasted context, per-tool uploads, prompt snippets, that age independently. A single connected source over MCP removes the drift by giving every agent the same current knowledge.
Does a single source of truth mean one giant knowledge base?
No. It means one connected layer that agents share, made of brains scoped by domain. The point is that there is one current version of each fact, not that everything lives in a single bucket.
How does updating work with one source?
You update the fact in the source once. Because agents retrieve rather than store copies, every connected agent reflects the change on its next query, with no per-tool re-uploading.