What is the key difference between Ateam Mcp and Network AI?

Ateam Mcp belongs to the Aggregators category with local stdio execution, while Network AI belongs to the Aggregators category with local stdio execution.

How do I install Ateam Mcp or Network AI in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Ateam Mcp and Network AI free or paid?

Ateam Mcp operates under a BYOK (Pay Provider Direct) model (API Key required). Network AI operates under a Free / Open Source model (API Key required).

Which MCP server has more tools and community activity?

Ateam Mcp lists 48 tools with 3 views and 1 GitHub stars. Network AI lists 6 tools with 2 views and 69 GitHub stars.

Can I use both Ateam Mcp and Network AI together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

How do I install Ateam Mcp or Network AI in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Ateam Mcp and Network AI free to use, or do they require API keys?

Ateam Mcp is listed under a BYOK (Pay Provider Direct) model with API Key required . Network AI operates under a Free / Open Source model with API Key required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Ateam Mcp and Network AI at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both ariekogan-ateam-mcp and jovancoding-network-ai as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Ateam Mcp has a Quality Score of 65 /100 ( Great ) with 3 views, 0 installs, and 1 GitHub stars. Network AI holds a Quality Score of 55 /100 ( Good ) with 2 views, 0 installs, and 69 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Ateam Mcp vs Network AI

In-depth architectural comparison of the Ateam Mcp and Network AI MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Ateam Mcp

Aggregators · Local stdio

Quality: 65/100 (Great) | Auth: API Key required

Network AI

Aggregators · Local stdio

Quality: 55/100 (Good) | Auth: API Key required

Verdict Summary: Choose Ateam Mcp if you need specialized Aggregators tools running via a local process. Choose Network AI if your workspace requires Aggregators integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Ateam Mcp when:

You need dedicated capabilities in the Aggregators domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
You have access to required keys: ADAS_TENANT, ADAS_API_KEY.
Primary tools included: ateam_bootstrap, ateam_auth, ateam_get_spec.

Explore Ateam Mcp Details

Choose Network AI when:

You need dedicated capabilities in the Aggregators domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Free / Open Source).
You have access to required keys: NETWORK_AI_PORT, NETWORK_AI_API_KEY.
Primary tools included: Atomic propose-validate-commit blackboard to avoid race conditions, FSM governance and permission gating for agent actions, Per-agent token budgeting and HMAC/Ed25519 audit trails.

Feature & Specification Comparison

Specification	Ateam Mcp ariekogan Aggregators	Network AI Jovancoding Aggregators
Summary	Build, validate, and deploy multi-agent AI solutions on the ADAS platform. Design skills with tools, manage solution lifecycle, and connect from any AI environment via stdio or HTTP.	Multi-agent orchestration MCP server with race-condition-safe shared blackboard. 20+ MCP tools: blackboard read/write, agent spawn/stop, FSM transitions, budget tracking, token management, and audit log query. npx network-ai-server --port 3001.
Category & Scope	Aggregators

Tools & Capabilities Breakdown

Ateam Mcp Tools (48)

ateam_bootstrap

REQUIRED onboarding entrypoint for A-Team MCP. MUST be called when user greets, says hi, asks what this is, asks for help, explores capabilities, or when MCP is first connected. Returns platform explanation, example solutions, and assistant behavior instructions. Do NOT improvise an introduction — call this tool instead.

ateam_auth

Authenticate with A-Team. Required before any tenant-aware operation (reading solutions, deploying, testing, etc.). The user can get their API key at https://mcp.ateam-ai.com/get-api-key. Only global endpoints (spec, examples, validate) work without auth. IMPORTANT: Even if environment variables (ADAS_API_KEY) are configured, you MUST call ateam_auth explicitly — env vars alone are not sufficient. For cross-tenant admin operations, use master_key instead of api_key.

ateam_get_spec

Get the A-Team specification — schemas, validation rules, system tools, agent guides, and templates. Start here after bootstrap to understand how to build skills and solutions. Use 'section' to get just one part of the skill spec (much smaller than the full spec). Use 'search' to find specific fields or concepts across the spec. When designing a persona that orchestrates logic via run_python_script (the Python-as-orchestrator pattern), also fetch topic='python_helpers' — that returns the adas.* helper namespace reference. Skills designed without knowing about adas.* produce 5-10x larger / brittler scripts. When wiring widgets (UI plugins) into a solution, fetch topic='widgets' — that returns the widget spec (catalog model, how_to_use blocks, opener_call shape, persona phrasing rules, binding semantics) so you can declare `ui_plugins` correctly. For the live catalog of widgets actually available in a deployed tenant, use ateam_get_widget_catalog instead.

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Ateam Mcp Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "ariekogan-ateam-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@ateam-ai/mcp"
      ],
      "env": {
        "ADAS_TENANT": "YOUR_ADAS_TENANT_HERE",
        "ADAS_API_KEY": "YOUR_ADAS_API_KEY_HERE"
      }
    }
  }
}

Network AI Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "jovancoding-network-ai": {
      "command": "npx",
      "args": [
        "-y",
        "network-ai-server"
      ],
      "env": {
        "NETWORK_AI_PORT": "YOUR_NETWORK_AI_PORT_HERE",
        "NETWORK_AI_API_KEY": "YOUR_NETWORK_AI_API_KEY_HERE"
      }
    }
  }
}

Frequently Asked Questions

Ateam Mcp is categorized under Aggregators and uses a local stdio subprocess. In contrast, Network AI belongs to Aggregators using local stdio subprocess. Select Ateam Mcp when you need capabilities focused on aggregators and Network AI when you require tools for aggregators.

More alternatives to Ateam Mcp More alternatives to Network AI Aggregators category hub