Build, validate, and deploy multi-agent AI solutions from any AI environment.
Build, validate, and deploy multi-agent AI solutions from any AI environment.
This is an MCP server that connects AI assistants — ChatGPT, Claude, Gemini, Copilot, Cursor, Windsurf, and any MCP-compatible environment — directly to the ADAS platform.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| adas_get_spec | Read the ADAS specification — skill schema, solution architecture, enums, agent guides |
| adas_get_examples | Get complete working examples — skills, connectors, solutions |
| adas_validate_skill | Validate a skill definition through the 5-stage pipeline |
| adas_validate_solution | Validate a solution — cross-skill contracts + quality scoring |
| adas_deploy_solution | Deploy a complete solution to production |
| adas_deploy_skill | Add a skill to an existing solution |
| adas_deploy_connector | Deploy a connector to ADAS Core |
| adas_list_solutions | List all deployed solutions |
| adas_get_solution | Inspect a solution — definition, skills, health, status, export |
| adas_update | Update a solution or skill incrementally (PATCH) |
| adas_redeploy | Push changes live — regenerates MCP servers, deploys to ADAS Core |
| adas_solution_chat | Talk to the Solution Bot for guided modifications |
{
"mcpServers": {
"ateam": {
"command": "npx",
"args": ["-y", "@ateam-ai/mcp"],
"env": {
"ADAS_TENANT": "your-tenant",
"ADAS_API_KEY": "your-api-key"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| ADAS_TENANT | Configuration value read at startup. | Optional |
| ADAS_API_KEY | Credential the server authenticates with. | Yes |
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