MCPSERV.CLUB
aantti

Netbird MCP Server

MCP Server

LLM‑friendly Netbird network insights

Stale(50)
41stars
1views
Updated 15 days ago

About

Provides read‑only access to Netbird API resources via Model Context Protocol, enabling LLMs to query peers, groups, policies and more for network visibility.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Netbird MCP Server in Action

The Netbird MCP Server bridges the gap between AI assistants and the Netbird VPN management platform. By exposing a curated set of read‑only Netbird API endpoints as MCP tools, it allows conversational agents such as Claude to retrieve real‑time network information—peers, groups, policies, ports, posture checks and more—without requiring the user to leave the chat interface. This eliminates manual API calls or console navigation, enabling developers to ask natural‑language questions and receive structured insights instantly.

For developers building AI‑augmented network operations, the server offers a straightforward integration path. Once the Netbird API token is supplied as an environment variable, the MCP server registers a collection of tools that map directly to Netbird’s REST endpoints. Each tool returns JSON data in the same shape as the original API, making it trivial to feed results into downstream workflows or display them in a UI. Because the server uses token‑based authentication and allows a custom host, it fits cleanly into secure, on‑premise or hybrid deployments.

Key capabilities include:

  • Comprehensive read‑only coverage of Netbird resources such as peers, groups, policies, and network configurations.
  • Secure, configurable API access with support for custom hostnames and environment‑based credentials.
  • Extensibility: developers can add new tools by implementing additional API routes, following a simple template pattern.

Typical use cases span from DevOps teams wanting to audit VPN state through an AI assistant, to security analysts querying posture checks and policy compliance in natural language. In a continuous integration pipeline, an AI could automatically fetch the current peer list and verify that no unauthorized devices are connected before a deployment proceeds.

By integrating Netbird MCP Server into an AI workflow, teams gain instant visibility into their VPN topology and security posture, reduce context switching between tools, and enable conversational interfaces to serve as the single source of truth for network configuration.