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MCP server · Agents

io.github.ariekogan/ateam-mcp

Build, validate, and deploy multi-agent AI solutions from any AI environment.

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Scored 6 months ago · breakdown

About io.github.ariekogan/ateam-mcp

io.github.ariekogan/ateam-mcp is an MCP server in the Agents category: build, validate, and deploy multi-agent AI solutions from any AI environment.

Install

Claude Code
claude mcp add io-github-ariekogan-ateam-mcp -- npx -y @ateam-ai/mcp
npx
npx -y @ateam-ai/mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (12)

adas_deploy_connectorDeploy a connector to ADAS Core

Parameters not published.

adas_deploy_skillAdd a skill to an existing solution

Parameters not published.

adas_deploy_solutionDeploy a complete solution to production

Parameters not published.

adas_get_examplesGet complete working examples — skills, connectors, solutions

Parameters not published.

adas_get_solutionInspect a solution — definition, skills, health, status, export

Parameters not published.

adas_get_specRead the ADAS specification — skill schema, solution architecture, enums, agent guides

Parameters not published.

adas_list_solutionsList all deployed solutions

Parameters not published.

adas_redeployPush changes live — regenerates MCP servers, deploys to ADAS Core

Parameters not published.

adas_solution_chatTalk to the Solution Bot for guided modifications

Parameters not published.

adas_updateUpdate a solution or skill incrementally (PATCH)

Parameters not published.

adas_validate_skillValidate a skill definition through the 5-stage pipeline

Parameters not published.

adas_validate_solutionValidate a solution — cross-skill contracts + quality scoring

Parameters not published.

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Security checks

  • ✓README presentThe repository ships documentation.

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README

ateam-mcp

Give any AI the ability to build, validate, and deploy production multi-agent systems.

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.

An AI developer says "Build me a customer support system with order tracking and escalation" — and their AI assistant handles the entire lifecycle: reads the spec, builds skill definitions, validates them, deploys to production, and verifies health. No manual JSON authoring, no docs reading, no copy-paste workflows.

Why this matters

Today, building multi-agent systems requires deep platform knowledge, manual configuration, and switching between docs, editors, and dashboards. ateam-mcp eliminates all of that by making the ADAS platform a native capability of the AI tools developers already use.

The AI assistant becomes the developer interface:

Developer: "Create an identity verification agent that checks documents,
            validates faces, and escalates fraud cases"

AI Assistant:
  → reads ADAS spec (adas_get_spec)
  → studies working examples (adas_get_examples)
  → builds skill + solution definitions
  → validates iteratively (adas_validate_skill, adas_validate_solution)
  → deploys to production (adas_deploy_solution)
  → verifies everything is running (adas_get_solution → health)

Developer: "Add a new skill that handles address verification"

AI Assistant:
  → deploys into the existing solution (adas_deploy_skill)
  → redeploys (adas_redeploy)
  → confirms health

No context switching. No manual steps. The full ADAS platform — specs, validation, deployment, monitoring — is available as natural language.

How it reaches the AI community

ChatGPT users

ChatGPT supports MCP connectors in Developer Mode. Users connect by pasting a single URL:

Settings → Connectors → Developer Mode → paste https://mcp.ateam-ai.com

That's it. All 12 ADAS tools appear in ChatGPT. Any ChatGPT Pro, Plus, Business, or Enterprise user can build and deploy multi-agent solutions through conversation.

Claude users

Claude Desktop — install as an extension (one-click) or add to config:

{
  "mcpServers": {
    "ateam": {
      "command": "npx",
      "args": ["-y", "@ateam-ai/mcp"],
      "env": {
        "ADAS_TENANT": "your-tenant",
        "ADAS_API_KEY": "your-api-key"
      }
    }
  }
}

Claude Code — one command:

claude mcp add ateam -- npx -y @ateam-ai/mcp

Cursor / Windsurf / VS Code (Copilot)

Add to .cursor/mcp.json, mcp_config.json, or .vscode/mcp.json:

{
  "mcpServers": {
    "ateam": {
      "command": "npx",
      "args": ["-y", "@ateam-ai/mcp"],
      "env": {
        "ADAS_TENANT": "your-tenant",
        "ADAS_API_KEY": "your-api-key"
      }
    }
  }
}

Gemini and other platforms

As MCP adoption grows (it's now governed by the Agentic AI Foundation under the Linux Foundation, co-founded by Anthropic, OpenAI, and Block), every AI platform that implements MCP gets access to ateam-mcp automatically. The remote HTTP endpoint (https://mcp.ateam-ai.com) works with any client that supports Streamable HTTP transport.

Discovery

Developers find ateam-mcp through:

  • npm — npm search mcp ai-agents → @ateam-ai/mcp
  • Official MCP Registry — registry.modelcontextprotocol.io
  • Claude Desktop Extensions — built-in extension browser
  • Claude Code Plugin Marketplace — /plugin → Discover tab
  • Windsurf MCP Marketplace — built-in marketplace
  • VS Code MCP Gallery — Extensions view
  • Community directories — Smithery, mcp.so, PulseMCP (30,000+ combined listings)

Available tools

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

Setup

# Clone
git clone https://github.com/ariekogan/ateam-mcp.git
cd ateam-mcp

# Install
npm install

# Configure
cp .env.example .env
# Edit .env with your ADAS tenant and API key

# Run
npm start

Architecture

┌─────────────────────────────────────────────┐
│  AI Environment                             │
│  (ChatGPT / Claude / Cursor / Windsurf)     │
│                                             │
│  Developer: "build me a support system"     │
└──────────────────┬──────────────────────────┘
                   │ MCP protocol
                   │ (stdio or HTTP)
┌──────────────────▼──────────────────────────┐
│  ateam-mcp                                  │
│  12 tools — spec, validate, deploy, manage  │
└──────────────────┬──────────────────────────┘
                   │ HTTPS
                   │ X-ADAS-TENANT / X-API-KEY
┌──────────────────▼──────────────────────────┐
│  ADAS External Agent API                    │
│  api.ateam-ai.com                           │
└──────────────────┬──────────────────────────┘
                   │
┌──────────────────▼──────────────────────────┐
│  ADAS Core                                  │
│  Multi-agent runtime                        │
└─────────────────────────────────────────────┘

License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About io.github.ariekogan/ateam-mcp

How do I install io.github.ariekogan/ateam-mcp?

Run claude mcp add io-github-ariekogan-ateam-mcp -- npx -y @ateam-ai/mcp, then add the server to your MCP client's configuration.

Is io.github.ariekogan/ateam-mcp safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is io.github.ariekogan/ateam-mcp still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.