JarvisMCP
A governed gateway between AI agents and the systems they work in
TypeScript / Node.js / Model Context Protocol
Inside the project
01 / 01Project artwork, not a product screen: many capabilities routed through one governed gateway.
The brief
The problem
Connecting an agent to real systems usually means one integration per tool, one credential per integration, and no shared record of what the agent did. That breaks down quickly. Adding tools makes agents slower and less accurate, every new connection is another secret that can leak, and when an agent hands off mid-task, the only history is a chat transcript.
Our approach
We built a single gateway that sits between agents and everything they are allowed to touch. Agents discover capabilities on demand instead of loading all of them up front, and they compose several steps into one piece of work. Credentials stay on the trusted side of the gateway. Access is governed per key, and durable work items record who owns a task, where it stands and what evidence it produced.
Features
What it does
- 01
Find the right capability
A discovery layer lets an agent look up the tools relevant to a task. It keeps a broad integration surface navigable without putting every tool definition into every interaction.
- 02
Connect actions into a workflow
Code Mode lets an agent compose calls and use their returned data in the next step. The gateway brings those integrations behind a consistent execution interface.
- 03
Keep the work accountable
Governed access and durable coordination give ongoing work a place to record ownership, progress and evidence. An agent conversation can hand off its work without becoming the only record of what happened.
Results
What happened
In production as the operating layer for our own agents, every day
One governed connection instead of a separate integration per system
Capabilities discovered on demand, so adding systems does not slow agents down
Agents act through the gateway and never hold upstream credentials
Work survives hand-offs: ownership, progress and evidence are recorded outside the conversation
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