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Connect cloud LLM agents to edge and IoT hardware via standard MCP tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP-Edge" yet — see the docs or source repo.
Use MCP-Edge to discover available UART devices, connect to the temperature and humidity sensor, read the latest 10 samples, and return structured JSON.
A list of discovered UART devices, a successful connection to the target sensor, and JSON output containing 10 temperature and humidity readings.
Use MCP-Edge to scan nearby BLE devices, find the device named smart-lock-01, read its battery status, and execute a lock command.
Returns the matched BLE device details, battery reading, and the execution status of the lock command.
Use MCP-Edge to discover accessible IoT devices on the local network, filter online cameras, check firmware versions, and mark devices that need upgrades.
Outputs a list of online cameras, their firmware versions, and a list of devices requiring upgrades.
Enable web search and extensible microservice tools for LLM agents.
Build MCP servers with embedded reasoning for efficient complex task handling.
Securely monitor and control MQTT devices through a standardized MCP interface.
Access confidential compute, inference, and an agent wallet over MCP.
Delegate low-risk tasks to a cheaper model with main-agent review.
Offload non-critical LLM tasks to your own model to save premium quota.