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Tapo MCP

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mihai-dinculescu

🦀 Rust API, 🐍 Python API, and 🤖 MCP Server for TP-Link Tapo smart devices

Publishermihai-dinculescu
Repositorytapo
LanguageRust
Forks
83
Stars
805
Available tools
0
Transport typestdio
Categories
Other
LicenseMIT
Links
GitHub
  • Connect tools to AI workflows

    Tapo MCP exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    805 stars and 83 forks from the linked repository.

Tapo

License Crates Documentation Crates.io PyPI Python PyPI
Unofficial Tapo API Client. Works with TP-Link Tapo smart devices. Tested with light bulbs (L510, L520, L530, L535, L610, L630), light strips (L900, L920, L930), plugs (P100, P105, P110, P110M, P115), power strips (P300, P304M, P306, P316M), hubs (H100), switches (S200B, S200D, S210), sensors (KE100, T100, T110, T300, T310, T315) and cameras (C210, C220, C225, C325WB, C520WS, TC40, TC70).

Supported Devices

See /SUPPORTED_DEVICES.md for the supported devices and feature matrix.

Rust Library

Usage

Cargo.toml

toml
[dependencies]
tapo = "0.9"

main.rs

rust
let device = ApiClient::new("<tapo-username>", "tapo-password")
    .p110("<device ip address>")
    .await?;

device.on().await?;

Examples

bash
export TAPO_USERNAME=
export TAPO_PASSWORD=
export IP_ADDRESS=

cargo run --example tapo_l530

See all examples in /tapo/examples.

Python Library

Usage

bash
pip install tapo
python
client = ApiClient("<tapo-username>", "tapo-password")
device = await client.p110("<device ip address>")

await device.on()

Examples

bash
cd tapo-py
uv venv # On the initial run only
uv sync --group dev --locked
uv run maturin develop # On the initial run and whenever the Rust code is modified

export TAPO_USERNAME=
export TAPO_PASSWORD=
export IP_ADDRESS=
bash
uv run python examples/tapo_p110.py

See all examples in /tapo-py/examples.

MCP Server

An MCP server that exposes Tapo devices as AI-callable tools and resources via the Model Context Protocol. See /tapo-mcp/README.md for setup and usage.

Community Projects

  • tapo-rest — a REST wrapper of this library that can be deployed as a service or serve as an advanced example.

Troubleshooting

See /TROUBLESHOOTING.md for solutions to common issues.

Contributing

Contributions are welcome and encouraged! See /CONTRIBUTING.md.

Sponsors

A big thank you to the sponsors of this project!

Credits

Inspired by petretiandrea/plugp100.

Use Tapo MCP MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Tapo MCP is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Tapo MCP as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Tapo MCP MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "tapo": {
      "command": "npx",
      "args": [
        "-y",
        "<mcp-server-package>"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Tapo MCP MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Tapo MCP MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Tapo MCP to help me with this task?
Tapo MCP
Sure. I read it.
Here is what I found using Tapo MCP.

Frequently asked questions

What is the Tapo MCP MCP server used for?

Tapo MCP is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Tapo MCP MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Tapo MCP with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Tapo MCP MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Tapo MCP connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Tapo MCP MCP to TypingMind?

Tapo MCP runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Tapo MCP MCP provide in TypingMind?

Tapo MCP exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Tapo MCP MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Tapo MCP requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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