[ThingsPanel](http://thingspanel.io/) IoT Platform's MCP (Model Context Protocol) Server.
Thingspanel MCP becomes available to MCP clients through the thingspanel mcp mcp server. ThingsPanel IoT Platform's MCP (Model Context Protocol) Server.
ThingsPanel IoT Platform's MCP (Model Context Protocol) Server.
Once connected, the assistant can call this tool directly:
Command — line configuration is recommended to protect sensitive informationThe server is distributed via PyPI as thingspanel-mcp, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Before the server will start you need to supply 2 environment variables: THINGSPANEL_API_KEY, THINGSPANEL_BASE_URL. Keep credentials in your client's env block or a secrets manager rather than committing them.
Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. Thingspanel MCP sits in that group, and the shape of its toolset — Command — tells you what it is really for. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Command | line configuration is recommended to protect sensitive information |
{
"mcpServers": {
"thingspanel": {
"command": "uvx",
"args": ["thingspanel-mcp"],
"env": {
"THINGSPANEL_API_KEY": "your-value",
"THINGSPANEL_BASE_URL": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| THINGSPANEL_API_KEY | Credential the server authenticates with. | Yes |
| THINGSPANEL_BASE_URL | Endpoint or connection string the server talks to. | Yes |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.