Network MCP Server for AI Agents - Connectivity testing and pcap analysis
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# Network MCP Server A Model Context Protocol (MCP) server providing network diagnostic tools for AI agents. Designed to offload heavy network analysis to the server and return structured, actionable data optimized for LLM consumption. [](https://pypi.org/project/network-mcp/) [](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT) <p align="center"> <img src="https://raw.githubusercontent.com/labeveryday/network-mcp/main/docs/architecture.png" alt="Network MCP Architecture" width="800"/> </p> ## Features - **Connectivity Testing**: ping, traceroute, DNS lookups, port checks, MTR - **Batch Operations**: Test multiple hosts/ports concurrently - **Local Network Info**: Get interfaces, routes, DNS config, ARP table, connections (cross-platform) - **Pcap Analysis**: Analyze packet captures with scapy (no tshark required) - **Custom Filters**: Execute scapy filter expressions for advanced queries (AST-validated) - **Security Controls**: Configurable allowlist/blocklist for target validation (enforced on connectivity tools) - **PCAP Path Guardrails**: Restrict which directories the server is allowed to read captures from - **Smart Summaries**: Returns human-readable summaries plus structured data ## Installation ```bash pip install network-mcp ``` Or install from source: ```bash git clone https://github.com/labeveryday/network-mcp.git cd network-mcp pip install -e . ``` ## Quick Start Run the MCP server: ```bash network-mcp ``` Or with Python: ```bash python -m network_mcp.server ``` Recommended first run (helps agents decide what’s safe/available on this host): - **Check capabilities**: call `capabilities` to see installed binaries (like `mtr`), active security policy, and PCAP path guardrails. - **Decide on policy**: if you need to loos…
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