Build multi-agent MCP solutions

mcpskillsetup L30
ariekogan/ateam-mcp
What it does

Build and deploy multi-agent systems from any AI environment

Best for

Letting AI build production multi-agent systems when you want to avoid manual JSON authoring and docs context switching.

Inputs
  • · [object Object]
  • · [object Object]
Outputs
  • · [object Object]
  • · [object Object]
Requires
  • · ADAS External Agent API
  • · MCP protocol (stdio or HTTP)
Preconditions
  • · ADAS tenant configured
  • · API key set (X-ADAS-TENANT, X-API-KEY headers)
  • · MCP client installed
Failure modes
  • · Skill definition validation failure
  • · Solution contract mismatch
  • · Deployment to ADAS Core fails
Trust signals
  • · 12 tools spanning spec → validate → deploy → monitor
  • · Works across ChatGPT, Claude, Cursor, Windsurf, Copilot
  • · Remote HTTP endpoint for broad MCP client compatibility