Less context to write into every prompt.
Bring relevant business knowledge into the task through the connection, rather than copying the same background into each session.
Give your AI agents the context your business runs on.
Connect your agents through MCP to the knowledge your organization builds as it works. Give each task the relevant facts, earlier decisions and operational context, without explaining the business again in every prompt.
Your AI agent
MCP
Connect your agents to the knowledge your business builds every day.
Bring business memory into the agent’s workflow.
Use the Model Context Protocol to let supported agents request relevant context. Retrieve the agreements, decisions and changes connected to the task, within the agent’s authorized access.
Context returned
Relevant facts with their sources
Access
Scoped to the requesting agent
Relevant context within the agent’s authorized scope
Access to a tool does not mean understanding the business.
An agent may know how to use a tool without knowing why your team made a decision, what changed yesterday or which commitment its task could affect. More tool calls cannot replace the missing business context.
Connect the agent to what your business already knows.
MCP, the Model Context Protocol, gives compatible AI tools a common way to request context. Through an Orcinta connection, the agent can bring relevant business memory into the task it is already doing.
Business memoryThe reasons behind the work
Retrieve the earlier decisions, agreements and source evidence relevant to the task, within the agent’s authorized scope.
Operational contextWhat is happening now
Bring current commitments, changes and supported concerns into the agent’s understanding of the work.
Rules and responsibilityWhat the agent may do next
Understand the applicable rules and approvals. An enforced action path must honor the check before proceeding.
Your agent starts with business understanding it would otherwise have to reconstruct.
Help it avoid repeated searches, long explanations and recommendations based on outdated assumptions. The connection supplies relevant context; the model and tools you choose do the work.
Ask about the consequencesMake connected AI more useful to your organization.
Better-informed work across teams.
Let the task reflect authorized information beyond the single file or application the agent is working in.
A stronger starting point as the business grows.
New evidence, decisions and outcomes enrich the connected record your agents can draw on.
Give auditors a clear record of delegated work.
On governed paths, connect the agent identity, applicable rule, approval and outcome. Your team can answer who signed off without reconstructing the decision from separate logs.
A common connection, with your business boundaries built in.
Use MCP for compatible clients and agree the context and action capabilities your deployment supports. Connecting knowledge and enforcing an action are separate parts of the setup.
Connect the client your team uses.
Review MCP compatibility, authentication and the supported tools with your deployment. Keep a clear identity and owner for each connected agent.
Scope the context to the job.
Let the agent request relevant memory and operational context within its permissions. A connection does not grant access to every record.
Put checks in the action path.
For governed actions, the integration must honor the returned check and required approval before execution. MCP alone does not intercept every action in another tool.
Questions about context for AI agents.
What does MCP add to the connection?
MCP is a common interface for compatible AI clients to request tools and context. Orcinta’s connection is designed around business memory, operational briefings and applicable rules. Confirm the client, tool surface and availability for your deployment during setup.
Does registering an agent automatically control it?
No. Registration establishes the agent’s identity and configuration. Actions are enforceable only where the execution path actually passes through the relevant check. Activity received as a later observation is evidence of what happened.
Does every agent get access to all business knowledge?
No. Context must remain within the agent’s authorized scope. Connecting an agent does not grant access to restricted business records or people’s private conversations.
Can a person’s approval override every other rule?
No. An approval addresses the specific review it was requested for. Other restrictions and required checks still apply, and approval is not proof the external action completed.
Does a richer business memory train the AI model on our data?
Building business memory means connecting and updating the evidence available to an authorized request. It is different from training model weights. Review model-provider data handling and your deployment terms as part of setup.