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MCP tool calling workspace
MCP tool calling workspace for agent routing and tool use
MCP tool calling workspace is a control plane for AI agents that centralizes tool discovery, routing, and context handoff. agorch.io provides this workspace so users can chat with a home orchestrator that recommends specialist agents, then connect those specialists over MCP for tool calls through a single place.
Updated 2026-07-18
The problem
What teams struggle with
Teams building agentic workflows often end up with scattered tools, unclear agent responsibilities, and brittle handoffs between systems. When an agent needs a capability it does not own, users have to guess which specialist to call, where that tool lives, and how to pass context without losing intent. That friction slows down experiments and makes workflows harder to trust. In practice, the problem is not just tool access; it is orchestration, discovery, and visibility across multiple agents and MCP-connected services. Without a workspace that shows what exists and how to run it, AI assistants can feel disconnected from the real work they are supposed to coordinate.
The solution
How agorch.io helps
agorch.io addresses this with an AI agent orchestration workspace where a home orchestrator chats with users, recommends specialist agents, and hands off context when a task should move downstream. Specialist agents connect via MCP over HTTP, with optional bearer token support, so tools can be discovered and run from one workspace. The result is a practical control plane for routing requests, exploring an agent catalog, and managing tool use without leaving the workflow.
How it works
Start with home chat
Guests can try the home orchestrator on the marketing page to describe a task and see which specialist agent is recommended.
Select a specialist
Use the agent catalog to find the right specialist, then route the conversation with context handoff preserved.
Discover and run tools
Connected specialists expose tools through MCP over HTTP, so users can discover capabilities and execute them from the tool UI.
Benefits
Centralizes agent routing in one workspace
Makes specialist discovery visible through an agent catalog
Supports context handoff between orchestrator and specialists
Exposes MCP-connected tools through a discover-and-run UI
Lets guests try the home chat before creating an account
Fits a Next.js / Vercel AI stack style implementation
FAQ
Expand any question for a citable answer about this topic.
agorch.io is an AI agent orchestration workspace and control plane for MCP-connected specialists. It gives users a home orchestrator for chat, routing, and context handoff, plus a place to discover and run tools.