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Ateam MCP Server

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Server data from the Official MCP Registry

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

About

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

Remote endpoints: streamable-http: https://mcp.ateam-ai.com/mcp

Security Report

8.0
Low Risk8.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). 2 known CVEs in dependencies (0 critical, 2 high severity) Package registry verified. Imported from the Official MCP Registry.

4 files analyzed · 3 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

file_system

Check that this permission is expected for this type of plugin.

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub 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.ai and Claude Desktop — add the hosted connector: open Customize > Connectors (Claude Desktop: Customize in the sidebar, then Connectors), click Add custom connector, enter https://mcp.ateam-ai.com, and click Connect. The A-Team sign-in page opens in the browser and asks for your workspace's key: copy it from app.ateam-ai.com/connect (a workspace owner or admin) and paste it there. The key decides the workspace; to switch, Disconnect and Connect again with the other workspace's key.

Claude Code — the hosted connector, signed in the same way:

claude mcp add --transport http ateam https://mcp.ateam-ai.com

then /mcp and authenticate in the browser.

Never paste a key into a chat. ateam_bootstrap's session field says which workspace a session is on and how to switch.

Cursor / Windsurf / VS Code (Copilot)

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

{
  "mcpServers": {
    "ateam": { "url": "https://mcp.ateam-ai.com/mcp" }
  }
}

A client with OAuth opens the A-Team sign-in page; one without sends the key as Authorization: Bearer <key> from its own config (see below). A local process (npx -y @ateam-ai/mcp) signs in only through ateam_auth: an ADAS_API_KEY in its environment does not sign it in.

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, also at /mcp) works with any client that supports Streamable HTTP transport.

The HTTP endpoint needs a credential on every request: OAuth (clients that support it follow the 401 challenge on their own), or your A-Team API key sent as Authorization: Bearer <key>. An anonymous request is refused with 401; since 0.4.93 there is no anonymous session to call ateam_auth from. See CHANGELOG.md.

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

ToolWhat it does
adas_get_specRead the ADAS specification — skill schema, solution architecture, enums, agent guides
adas_get_examplesGet complete working examples — skills, connectors, solutions
adas_validate_skillValidate a skill definition through the 5-stage pipeline
adas_validate_solutionValidate a solution — cross-skill contracts + quality scoring
adas_deploy_solutionDeploy a complete solution to production
adas_deploy_skillAdd a skill to an existing solution
adas_deploy_connectorDeploy a connector to ADAS Core
adas_list_solutionsList all deployed solutions
adas_get_solutionInspect a solution — definition, skills, health, status, export
adas_updateUpdate a solution or skill incrementally (PATCH)
adas_redeployPush changes live — regenerates MCP servers, deploys to ADAS Core
adas_solution_chatTalk to the Solution Bot for guided modifications
ateam_workspace_openFor a chat agent with no shell: open one private workspace (files in /workspace) for the conversation
ateam_workspace_execRun one command in the workspace (100 s foreground; run_in_background for long builds)
ateam_workspace_statusCheck the workspace: unsaved changes, a long save or background command
ateam_workspace_saveMake the workspace's work live (the only way the other tools see it)
ateam_workspace_closeFinish; optionally save first. Brings back the single-file write tools withheld while it was open

The ateam_workspace_* tools are listed only when the platform says workspaces are available for the signed-in workspace (they are switched off by default); otherwise they are absent.

Setup

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

# Install
npm install

# Run (a local stdio process)
npm start

A local process signs in with ateam_auth, given a workspace key the agent reads from a file outside the chat; an ADAS_API_KEY in the environment does not sign it in and is never sent. ADAS_API_URL in its environment points it at a self-hosted API. Most people use the hosted connector instead (above).

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

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