Introduction
Most enterprises already have pockets of automation—an IT assistant in ServiceNow, a Copilot in Microsoft, a workflow bot in Salesforce. The real challenge isn’t building one more agent; it’s getting all of them to work together, safely, with traceability and control. The next generation of efficiency and productivity gains is going to happen with cross-application workflow automation, and that’s exactly what we at Leena AI help you do. This blog post lays out how Leena AI’s Agentic AI Architecture gives you that fabric, and exactly how to connect what you’ve already built using MCP (Model Context Protocol). With Leena AI Orchestrator, you can unify all your agents seamlessly.
A quick look at the architecture you’ll be wiring into
Leena AI’s Agentic AI stack centers on an Orchestrator that receives a request (from chat, voice, API) and plans the steps needed to fulfill it, delegating parts of the job to the right domain agents (HR, IT, Finance, Procurement, etc.). These agents follow Agent Operating Protocols (AOPs), Skills, deterministic workflows modeled in Workflow Studio, and draw on Memory, Knowledge from Knowledge Management, Permissions & Access Controls, Observability/Governance, and Security & Compliance layers. That’s the backbone your existing automations will plug into.
Crucially for interoperability, the architecture’s touchpoints include API, MCP, and A2A (agent-to-agent) alongside channels such as web, Teams/Slack/Zoom, SMS, and email. In other words, integration is a first-class design goal, not an afterthought.
Detailed architecture here (Leena AI Agentic AI Architecture Blog)
Option 1: Leena AI as the core Orchestrator (Integrate your existing agent with the Leena AI Orchestrator)
If you already have agents (e.g., Now Assist skills, Copilot Studio bots, custom LangChain/LangGraph agents), you can bring their MCP into the Leena AI Orchestrator as a Skill of any agent. This allows Leena AI to act as the central orchestrator, intelligently routing requests to your custom agents when their expertise is needed.
Practically, you use the In-house agent’s MCP inside a Skill in Agents, then let the Orchestrator plan when to invoke it, alone or as part of a multi-step plan across IT/HR/Finance. (Leena AI Blog)
Here’s an example:
- Leena AI Orchestrator → your agent (MCP server on your side): When a Leena workflow requires a niche capability you already own, the Orchestrator treats your agent as a Skill of an Agent and invokes it via MCP as part of a broader, governed flow.
Example response:
Your finance team might have built a sophisticated budget analysis agent, while HR has developed a policy interpretation tool. By exposing these as MCP servers, Leena AI can seamlessly call upon them during complex workflows—automatically routing financial queries to your finance agent while handling the overall conversation flow and user experience.
The beauty of MCP integration is that your agents remain autonomous and specialized while gaining the benefit of unified access through LeenaAI’s interface.
Key capabilities available when you connect:
- Two-way agent communication (share context, invoke tasks, deliver outcomes)
- Agent invocation & handoff in either direction
- Enterprise-ready auth, granular access controls, and a Transparency dashboard for explainability.
What this means for your roadmap
- Lower time-to-value: Don’t rebuild; bring your agents into Leena’s agents to automate end-to-end enterprise business processes.
- Platform independence: Keep using your preferred LLMs and agent frameworks; the Orchestrator is model-agnostic and MCP/A2A-friendly.
- Centralized governance: One place to enforce access controls, approvals, and audit, even when multiple agents/vendors collaborate.
We recommend you undergo a Readiness Test (attached below) with one of our SEs to know whether you are ready to start using the Leena AI Agent Interoperability framework. Importing your agents via MCP into Leena AI skills will be in GA in Q1 2026.
Option 2: Your in-house Agent as a core Orchestrator (Leena AI provides its own MCP server for the integration)
If you prefer your users to keep talking to your current assistant, you can still invoke Leena AI agents behind the scenes. Leena AI provides its MCP, so your in-house agents can also call Leena AI agents. If your platform doesn’t support MCP, you can also connect via REST APIs.
Here’s an example:
- Your agent → Leena AI (MCP client → server): Your in-house agent calls Leena’s MCP server/API to trigger, for example, an AP Analyst agent to create a PO in SAP, or an IT Helpdesk agent to reset access in Okta/ServiceNow. Leena executes the workflow and returns outcomes/receipts to your frontline assistant. (leena.ai)
This symmetric design lets you keep your frontend while upgrading your automation backplane with Leena’s catalog of agents and integrations. (leena.ai)
TL;DR for CIOs
- Can I integrate my existing agent with Leena AI Orchestrator?
Yes. Bring your agent’s MCP into Leena as a Skill inside any agent; the Orchestrator will plan when to call it within governed workflows.
- Does Leena AI have MCP?
Yes. Leena supports MCP to interoperate with your agents and expose Leena’s 1,000+ application agents. APIs are available as alternatives/adjacents.
- Can I call the Leena AI MCP via my existing agent?
Yes. Keep your assistant as the primary interface and invoke Leena agents via MCP for execution across HR/IT/Finance systems, with full auditability.
- Does Leena AI support A2A?
Leena AI has also announced its commitment to provide day 1 support for the A2A (agent-to-agent) protocol by Google when it is GA.
Readiness Test: Before you use Leena AI Agent Interoperability
- Has your team evaluated or implemented emerging protocols like MCP, and are they already being used in production?
- Are your existing agents/tools currently stateless and MCP/API-accessible, or would they require architectural changes to expose functionality externally?
- What authentication mechanisms do your current MCPs/APIs support (OAuth 2.0, API keys, mTLS), and do you have existing security policies for inter-service communication?
- Which 2-3 existing agents or automation tools would provide the highest business impact if they were accessible through a unified conversational interface?
