What is the key difference between Network AI and Openapi?

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

How do I install Network AI or Openapi 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 Network AI and Openapi free or paid?

Network AI operates under a Free / Open Source model (API Key required). Openapi operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Network AI lists 6 tools with 2 views and 69 GitHub stars. Openapi lists 0 tools with 1 views and 3 GitHub stars.

Can I use both Network AI and Openapi 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 Network AI or Openapi 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 Network AI and Openapi free to use, or do they require API keys?

Network AI is listed under a Free / Open Source model with API Key required . Openapi operates under a Free / Open Source model with No auth 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 Network AI and Openapi at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both jovancoding-network-ai and openapi 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, Network AI has a Quality Score of 55 /100 ( Good ) with 2 views, 0 installs, and 69 GitHub stars. Openapi holds a Quality Score of 36 /100 ( Fair ) with 1 views, 0 installs, and 3 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Network AI vs Openapi

In-depth architectural comparison of the Network AI and Openapi 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

Network AI

Aggregators · Local stdio

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

Openapi

Aggregators · Local stdio

Quality: 36/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Network AI if you need specialized Aggregators tools running via a local process. Choose Openapi 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 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.

Explore Network AI Details

Choose Openapi when:

You need dedicated capabilities in the Aggregators domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Openapi Details

Feature & Specification Comparison

Specification	Network AI Jovancoding Aggregators	O Openapi Aggregators
Summary	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.	Turn any OpenAPI/Swagger spec into MCP tools. Zero config, zero code.
Category & Scope	Aggregators	Aggregators

Tools & Capabilities Breakdown

Network AI Tools (6)

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

32 supported adapters including LangChain, AutoGen, OpenAI, Claude, Gemini

ContextComposer for token-budgeted, relevance-ranked context assembly

GovernedModelGateway for model refusal handling and fallback

Openapi Tools (0)

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).

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"
      }
    }
  }
}

Openapi Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "openapi": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-openapi"
      ]
    }
  }
}

Frequently Asked Questions

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

More alternatives to Network AI More alternatives to Openapi Aggregators category hub