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MCP agent orchestration
MCP agent orchestration in agorch.io
MCP agent orchestration is the coordinated control of multiple AI agents through a shared workspace and protocol-based connections. agorch.io turns that pattern into a practical control plane: users chat with a home orchestrator, which recommends specialist agents that connect over MCP, using HTTP and optional bearer token auth.
Updated 2026-07-18
The problem
What teams struggle with
Teams building AI workflows often end up with isolated agents, inconsistent routing, and broken handoffs between tasks. One agent may know how to answer a question, another may know how to run a tool, but there is no clear place to decide which one should act, how context should move forward, or how the user should discover what each agent can do. When agents connect in different ways, operations become harder to inspect and reuse, and the workspace turns into a collection of separate chat threads instead of a managed system. For product teams and technical operators, the missing piece is not another agent — it is a control plane that helps people choose the right specialist, keep context attached, and see available tools before execution.
The solution
How agorch.io helps
agorch.io addresses MCP agent orchestration with a workspace built around a home orchestrator chat. Guests can try the home chat on the marketing page, while full workspace access requires an account. From there, the orchestrator recommends specialist agents, routes work to them, and supports context handoff so each step can continue without re-explaining the task. Specialist agents connect through MCP over HTTP with optional bearer token authentication, and the workspace includes an agent catalog plus a tool discovery and run UI to make capabilities visible before use.
How it works
Start with the home orchestrator
Users chat with the main orchestrator to describe the task in plain language and get guidance on which specialist agent should handle it.
Route to a specialist via MCP
The orchestrator recommends the right agent, and specialists connect over MCP using HTTP with optional bearer token auth.
Hand off context and run tools
The workspace preserves context across agents, then exposes tool discovery and a run UI so users can inspect and execute available actions.
Benefits
Centralizes multi-agent coordination in one AI agent orchestration workspace
Helps users choose the right specialist agent instead of guessing
Preserves task context during handoff between agents
Makes tool capabilities visible before execution with discovery and run UI
Supports MCP connections over HTTP with optional bearer token authentication
Allows guests to test the home chat before creating an account
FAQ
Expand any question for a citable answer about this topic.
It is the process of coordinating specialist AI agents through a single workspace and protocol-based connections. In agorch.io, the home orchestrator recommends which specialist should handle the task, then routes the work and keeps context attached.