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decocms/studio

Deco Studio is an open-source control plane for AI agents that connects tools, registers agents, and tracks per-token and per-dollar spend. It exposes a workflow layer that bridges MCP servers, MCP clients, and existing tools like n8n, so platform teams can see what their agents are actually running and what each step costs.

Open source →Back to radar
Score7.6
Popularity58.0
Riskconditional
TierSilver
Score breakdown
Usefulness7.0
Novelty7.0
Momentum7.0
Maturity6.3
Open-source/build8.4
Evidence7.2
Workflow potential8.4
Setup ease4.2

Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.

Why it matters

Useful for organizations that want observability, cost tracking, and workflow glue around MCP agents without giving up local control: stand up Deco Studio against a small set of tools, route a non-sensitive agent through it, and validate the cost and audit signal before connecting production agents.

Who should use it

agent platform teamsMCP adoptersinternal AI infrastructure teamsFinOps practitioners

Who should skip it

Skip for now if you need a low-setup, non-technical tool today.

Risk explanation

control plane components handle tool credentials and spend data; review access controls before production; GitHub metadata reports NOASSERTION license; review project terms before commercial deployment.

Evidence links

Closest alternatives / related signals

agent-control-planemcpcost-trackingworkflowsdecocms