"Payload CMS" matching MCP servers:

Lets AI agents manage LoRaWAN networks and debug devices live over ChirpStack's native gRPC API, including downlink queuing, event monitoring, and payload codec iteration.

MCP server for Cisco Modeling Labs (CML) that enables building, managing, and running network labs through MCP tools, wrapping the CML Python SDK for lab/topology CRUD, node/link management, and configuration.

Enables AI assistants to interact with Cisco Modeling Labs (CML) using natural language, allowing creation, management, and automation of network labs.

Enables AI agents to query and operate a fleet of remote management devices through the RMS API in natural language, including device status, data usage, alerts, fleet summaries, and guarded reboots.

Enables AI assistants and security analysts to inspect PCAP/PCAPNG captures through MCP tools or REST endpoints, reassembling TCP/UDP streams, extracting payload artifacts, detecting CTF flags, credential leaks and network anomalies, and generating formal PDF or Markdown forensic reports. Every finding is bound to exact frame numbers, timestamps and endpoints with SHA-256 deduplicated evidence provenance.