Nexlink Telecom MCP Server

Nexlink Telecom MCP Server

Enables natural language interaction with telecom network operations data via MCP, providing read-only insights and role-gated write operations such as bandwidth upgrades, with progress tracking and human-in-the-loop elicitation.

Category
访问服务器

README

Nexlink Telecom - MCP Server Lab

A Network Operations Center (NOC) Assistant built for Nexlink Telecom. This project implements the Model Context Protocol (MCP) over a local SQLite database to allow a local LLM to interact safely with telecom database records.

Database Architecture & ERD

The system uses SQLite (db/nexlink.db) with 5 tables: customers, users, network_nodes, services, and audit_logs.

erDiagram
    users {
        int id PK
        string username UK
        string role "NOC_Admin | NOC_Engineer | Guest"
        string api_token UK
    }

    customers {
        int id PK
        string name
        string industry
        string sla_tier "VIP | Enterprise | Standard"
        string contact_email
    }

    network_nodes {
        int id PK
        string name
        string type "Fiber | 5G Core | Edge Router | Satellite"
        float max_capacity_gbps
        float current_load_gbps
        string status "Healthy | Congested | Down | Maintenance"
        string location
    }

    services {
        int id PK
        int customer_id FK
        int node_id FK
        float allocated_bandwidth_gbps
        string status "Active | Suspended | Pending"
    }

    audit_logs {
        int id PK
        datetime timestamp
        int user_id
        string action
        string details
    }

    customers ||--o{ services : "subscribes to"
    network_nodes ||--o{ services : "hosts"
    users ||--o{ audit_logs : "triggers"

Protocol Concerns Implementation

Protocol Concern Description Implementation in server.py
Capability Negotiation Handshake check Server declares capabilities in initialize; client verifies before calling tools.
Notifications Dynamic tool updates authenticate_user triggers tools/list_changed to unlock write tools.
Elicitation Mid-call human confirmation upgrade_bandwidth calls ctx.elicit() if upgrade > 3.0 Gbps or customer is VIP.
Sampling Server LLM request analyze_incident_root_cause sends trace log to client LLM via ctx.session.create_message().
Resources & Prompts Exposed policies & prompts Static policies in policies/ and draft_incident_report prompt template.
Progress Tracking Long running task status run_network_diagnostic calls ctx.report_progress(step, total).
Defensive Tool Design Strict validation Pydantic models with ge/gt bounds, additionalProperties=False, and role checks.
Transport Dual transport support Command line option for stdio and Streamable HTTP.

Comparison Note (Read-Only vs Write Tools)

  • get_customer_network_status: Read-only tool accessible to all roles.
  • run_network_diagnostic: Read-only tool that emits progress notifications.
  • authenticate_user: State change tool that pushes tools/list_changed notification.
  • upgrade_bandwidth: Write tool requiring NOC_Admin role and mid-call elicitation confirmation for VIP upgrades.
  • analyze_incident_root_cause: Read tool utilizing protocol sampling.

Transport Choice Justification

  • stdio: Used for local terminal CLI development for zero-network security.
  • Streamable HTTP: Used for remote deployment across regional NOC centers behind API gateways.

How to Run

  1. Install dependencies:
    pip install -r requirements.txt
    
  2. Initialize database:
    python db/setup_db.py
    
  3. Run test runner:
    python demo_runner.py
    
  4. Run client CLI:
    python agent/client.py
    

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选