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Network Ai MCP Server

@jovanSAPFIONEER

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

jovanSAPFIONEER

提交者

Jovan Marinovic

关于 Network Ai MCP Server

Multi-agent orchestration MCP server with atomic shared blackboard, FSM governance, per-agent budget enforcement, and adapters for 12 AI frameworks including LangChain, AutoGen, CrewAI, and OpenAI Assistants.

#multi-agent#orchestration#blackboard#langchain#autogen

Network Ai MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "network-ai": {
      "command": "npx",
      "args": [
        "-y",
        "network-ai-server",
        "--port",
        "3001"
      ]
    }
  }
}

Network Ai MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Network Ai?

Network Ai is a multi-agent orchestration framework for TypeScript/Node.js, featuring an atomic shared blackboard, FSM governance, per-agent budget enforcement, and cryptographic audit trails. It integrates with 12 framework adapters (e.g., LangChain, AutoGen, CrewAI) and provides over 20 MCP tools over SSE/JSON-RPC 2.0.

How to use Network Ai?

Run npx network-ai-server --port 3001 to start the MCP server with the built-in tools.

Key features of Network Ai

  • Atomic shared blackboard prevents race conditions
  • FSM governance over agent transitions
  • Per-agent budget enforcement
  • Cryptographic audit trails
  • 12 framework adapters for orchestration
  • 20+ MCP tools over SSE/JSON-RPC 2.0

Use cases of Network Ai

  • Build multi-agent systems with race-free shared memory
  • Govern agent state transitions using finite state machines
  • Enforce spending limits per agent in orchestrated workflows
  • Generate cryptographic proofs of agent interactions
  • Integrate agents across different frameworks (LangChain, AutoGen, etc.)

常见问题

1

What runtime does Network Ai require?

Node.js with TypeScript support.

2

How do I start the MCP server?

Run `npx network-ai-server --port 3001`.

3

What transports and protocols does it use?

MCP tools are served over SSE and JSON-RPC 2.0.

4

How many framework adapters are supported?

12 adapters including LangChain, AutoGen, CrewAI, and more.

5

Does it support cryptographic audit trails?

Yes, it provides cryptographic audit trails for agent interactions.

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