xiaozhi-mcp-bridge-template
This MCP server enables AI models to interact with ESP32 devices, providing built-in tools for web search, note management, calculator, and custom tools like todo lists and timers.
README
xiaozhi-mcp-bridge-template
Boilerplate untuk ebook "Bikin Jarvis: ESP32 Chat AI dari Nol"
Repo ini adalah starting point untuk bab 11–13. Anda tinggal clone, isi
.env, lalu kasih prompt ke OpenCode (atau AI coding tool apapun) untuk nambah tool custom — tanpa nulis kode sendiri.
5 tool bawaan (langsung jalan)
| Tool | Untuk apa |
|---|---|
calculator |
Matematika (math + random) |
web_search |
Cari di web (DuckDuckGo, no API key) |
note_search |
Cari di note Markdown lokal |
read_note |
Baca note (paged untuk file besar) |
note_save |
Simpan note baru |
list_recent_notes |
List note terbaru |
3 tool custom (di-generate OpenCode di bab 11–13)
| Tool | Bab | Prompt |
|---|---|---|
todo_add + todo_list |
11 | prompts/01-todo.md |
timer_start + timer_check + timer_cancel |
12 | prompts/02-timer.md |
wifi_qr_print |
13 | prompts/03-wifi-qr.md |
Quick start
# 1. Clone repo ini
git clone https://github.com/kamilersz/xiaozhi-mcp-bridge-template xiaozhi-mcp-bridge
cd xiaozhi-mcp-bridge
# 2. Setup
python -m venv .venv
.\.venv\Scripts\Activate.ps1
pip install -r requirements.txt
# 3. Konfigurasi
Copy-Item .env.example .env
# Edit .env, paste MCP_ENDPOINT dari xiaozhi.me console
# 4. Jalanin
.\start.ps1
Lihat ebook bab 10 untuk setup lengkap (termasuk dapat MCP endpoint).
Workflow nambah tool (bab 11–13)
- Buka repo di OpenCode (atau AI coding tool lain):
cd xiaozhi-mcp-bridge opencode - Copy-paste prompt dari
prompts/NN-nama-tool.md. - OpenCode generate kode
- Anda review.
- Jalankan .\start.ps1
Detail per bab di ebook.
Lisensi
CC BY-SA 4.0. Bebas dipakai, dimodifikasi, dishare dengan syarat yang sama.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.