Generic knowledge is not company knowledge
A public model does not know what your team decided last quarter or changed last week.
Use case
Give AI agents the company context they are missing.
Direct answer
AI agents often struggle with company-specific tasks when they cannot access internal decisions, policies, and exceptions. Nura provides approved, source-backed company memory so compatible agents can use the best-supported available context instead of relying only on stale prompts or generic model knowledge.
Why agents fail without company context
Confident answers built on the wrong facts.
Static prompts go stale
Context pasted into a prompt is a snapshot and does not update with the source.
Uploaded documents are incomplete
A single file cannot resolve which of several conflicting sources is still current.
How Nura supports MCP
Agents query the same memory your team does.
Nura exposes company memory as retrievable, source-backed context. A compatible agent can query Nura and receive the best-supported decision, owner, reasoning, date, and source, subject to authentication and workspace permissions.
asknura.io/sessionquery: which SLA applies to this account?
Best-supported answer
This account is on the 4-hour enterprise response SLA. The prior 8-hour standard SLA was superseded when the account upgraded in February 2026.
Decided bySupport OperationsStatusBest-supported and source-backed
NotionGmailMCP response
Context, delivered with its source.
What agents can retrieve
The same attributes people receive.
Best-supported policy and exceptions
The decision best supported by the available approved evidence, rather than a stale prompt snapshot.
Decision ownership
Who is accountable when an agent should escalate rather than act.
Reasoning
Why a decision was made so edge cases can be handled correctly.
Source attribution
Where the answer came from so downstream actions remain auditable.
Source-backed context vs generic answers.
The agent answers from training data or a static prompt with no way to confirm the policy is current.
The agent retrieves the best-supported policy from Nura with its source, owner, date, and status attached.
Agent context flow
A retrieval step between the question and the action.
Agent asks
Needs company-specific context.
Nura retrieves
Checks connected, permission-aware sources.
Agent acts
Uses best-supported context with provenance attached.
FAQs
Agent and MCP questions
01What is MCP and how does Nura use it?
MCP lets agents call external tools. Nura exposes company memory as a queryable context source.
02Which agent frameworks can connect?
Compatible MCP clients can connect to Nura, subject to Nura authentication, workspace permissions, and the capabilities documented in the current integration guide.
03Can an agent see more than a human user?
No. Agent retrieval respects the same identity and source permissions as human retrieval.
04Can agents write back to Nura?
The current focus is retrieval. Write-back capabilities should be treated as future functionality until released.