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orchestrate AI agents over MCP
Orchestrate AI agents over MCP with agorch.io
Orchestrate AI agents over MCP means coordinating a home orchestrator and specialist agents that connect through the Model Context Protocol. agorch.io is an AI agent orchestration workspace and control plane where users start by chatting with a home orchestrator, which recommends the right specialist agent and manages context handoff across MCP-connected tools.
Updated 2026-07-18
The problem
What teams struggle with
Teams building with multiple AI agents often end up with fragmented conversations, duplicated context, and unclear routing. One agent may know how to search data, another may run tools, and another may handle a specialized workflow, but users still have to decide who to talk to first and how to pass information between them. That breaks the experience and makes the system harder to use. When agents connect through MCP over HTTP, the integration layer is only part of the challenge; the real issue is orchestration. Without a clear home entry point, a catalog of specialists, and a controlled handoff of context, users can lose traceability and spend time repeating the same task details. This becomes especially painful in workspaces where guests need a simple starting point and full users need a reliable operational control plane.
The solution
How agorch.io helps
agorch.io solves this by giving users one home orchestrator to start the conversation, then recommending specialist agents from an agent catalog based on the task. Specialists connect over MCP via HTTP, with optional bearer token support, so tools can be discovered and run from the workspace UI. agorch.io keeps the orchestration flow centered on routing, recommendations, and context handoff, so users can move from intent to execution without rebuilding the prompt chain manually. Guests can try the home chat on the marketing page, while the full workspace is available with an account.
How it works
Start in home chat
A guest or logged-in user chats with the home orchestrator to describe the task in plain language.
Route to the right specialist
The orchestrator recommends agents from the catalog and passes context to the specialist that fits the request.
Discover and run tools
Specialist agents connect via MCP over HTTP, and the workspace provides tool discovery and run UI for execution.
Benefits
One entry point for multi-agent work instead of switching between separate chats
MCP over HTTP support for specialist connections and tool access
Context handoff that helps preserve task details as users move between agents
Agent catalog and routing recommendations to guide users to the right specialist
Tool discovery and run UI inside the workspace for clearer execution
Guest access to the home chat so people can try the flow before creating an account
FAQ
Expand any question for a citable answer about this topic.
It means using the Model Context Protocol as the connection layer while a control plane decides which specialist agent should handle each part of the task. In agorch.io, the home orchestrator coordinates that flow and passes context onward.