GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
제작자가 쓴 설명(영어 원문)
Control Homebridge accessories and scenes, manage plugins and config.json, and read logs
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
HOMEBRIDGE_URL, HOMEBRIDGE_TOKEN, HOMEBRIDGE_USERNAME, HOMEBRIDGE_PASSWORD, HOMEBRIDGE_READ_ONLY비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
링크는 제작자의 파일로 바로 연결돼요. 우리가 보관하거나 다시 패키징하지 않아요. 파일을 열면 Claude Desktop이 설치해요.
터미널에서 이 명령어를 실행하세요
claude mcp add homebridge-ai-kit --env HOMEBRIDGE_URL=your-value --env HOMEBRIDGE_TOKEN=your-value --env HOMEBRIDGE_USERNAME=your-value --env HOMEBRIDGE_PASSWORD=your-value --env HOMEBRIDGE_READ_ONLY=your-value -- npx -y @mp-consulting/homebridge-ai-kit mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"homebridge-ai-kit": {
"command": "npx",
"args": [
"-y",
"@mp-consulting/homebridge-ai-kit",
"mcp"
],
"env": {
"HOMEBRIDGE_URL": "your-value",
"HOMEBRIDGE_TOKEN": "your-value",
"HOMEBRIDGE_USERNAME": "your-value",
"HOMEBRIDGE_PASSWORD": "your-value",
"HOMEBRIDGE_READ_ONLY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"homebridge-ai-kit": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@mp-consulting/homebridge-ai-kit",
"mcp"
],
"env": {
"HOMEBRIDGE_URL": "your-value",
"HOMEBRIDGE_TOKEN": "your-value",
"HOMEBRIDGE_USERNAME": "your-value",
"HOMEBRIDGE_PASSWORD": "your-value",
"HOMEBRIDGE_READ_ONLY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
HOMEBRIDGE_USERNAME envHOMEBRIDGE_READ_ONLY env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 GitHub 계정 mp-consulting 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: HOMEBRIDGE_URL, HOMEBRIDGE_TOKEN, HOMEBRIDGE_PASSWORD
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(3.1.3)은 16일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js, MCPB도 있어야 해요.
같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
AI toolkit for Homebridge, in one package:
HomebridgeAiKit platform) with a settings page to pick the provider and model, test the connection, serve MCP over HTTP and generate client configs.The AI building blocks that don't need MCP also ship on their own as @mp-consulting/homebridge-ai-core — see Packages.
Renamed from `@mp-consulting/homebridge-mcp-server`. The old
homebridge-mcp-servercommand still works, so existing MCP client configs don't need to change. See Migrating from homebridge-mcp-server.
This repository is an npm workspace that publishes two packages, both at version 2.0.0:
| Package | Use it for | Runtime dependencies |
|---|---|---|
@mp-consulting/homebridge-ai-core | Homebridge plugins. The plugin-UI Assistant routes (registerAiRoutes from ./plugin), providers, redaction, prompts, config and the Assistant features (everything except runAgent). | ajv only |
@mp-consulting/homebridge-ai-kit (this package) | Homebridge Glass UI and MCP. Everything in ai-core (re-exported) plus the MCP server, runAgent, the HomebridgeAiKit Homebridge plugin and mcpClientSnippets. | ai-core, @modelcontextprotocol/sdk, socket.io-client, zod, undici, @homebridge/plugin-ui-utils |
Plugins should depend on ai-core, so installing them doesn't pull in the MCP SDK, socket.io or zod. ai-kit stays backward compatible: its . and ./plugin exports re-export everything ai-core has under the same names, so code that imports from ai-kit keeps working.
MCP tools (43): accessories (list, get, control with value checks, bulk control with dryRun, locks / garage doors / alarms behind confirmation, room layout, sensor history), scenes (list, run, save), server (status, restart, pairing, cached accessories), child bridges (list, health, restart, stop, start), config (read with secrets redacted, full write, partial patch_config, dryRun diffs, backups and restore), instance backups, test notifications, plugins (list, search, versions, schema, changelog, install, update, uninstall), system info and logs (recent lines, filtered regex search).
MCP resources you can subscribe to: homebridge://accessories, homebridge://logs/recent, homebridge://status. Changes arrive over the Homebridge UI's socket.io namespaces, or by polling when the socket can't be used.
MCP resource templates (listed in resources/list, with completion): homebridge://accessory/{uniqueId} (one accessory with every characteristic), homebridge://plugin/{name} (one installed plugin and its child bridges; URL-encode scoped names), homebridge://child-bridge/{id} (one child bridge by username, with its health on Glass UI).
MCP prompts: diagnose-logs, plan-upgrade, audit-config, troubleshoot-device (device, symptom?), nightly-health-check (hours?), scene-builder (description, room?).
Assistant features (library): diagnoseLogs, generatePluginConfig, explainDeviceError, assessPluginUpdate, suggestOrganization, dailyDigest, ask, and runAgent for anything that needs the tools. Every input is redacted before it reaches a provider and trimmed to fit its context window; JSON outputs are checked against a schema with one automatic repair attempt; token usage and Claude costs are tracked.
All providers use plain fetch (no SDKs). Each declares what it can do, and features without tool calling fall back to prompt-only answers.
provider | Default model | API key | Tools | Streaming | Context |
|---|---|---|---|---|---|
anthropic | claude-sonnet-5-5 | required | yes | yes | 1M (200K for Haiku) |
openai | gpt-6.1-sol | required | yes | yes | 128K (set contextTokens for more) |
gemini | gemini-3.8-flash | required | yes | yes | 1M |
openai-compatible | llama3.1 | optional | yes | yes | 8K (set contextTokens) |
claude-sonnet-5-5 (default), claude-haiku-4-5-20251001 (cheapest), claude-opus-5-5 (most capable).gpt-6.1-sol (default), gpt-6-luna (cheapest), gpt-6-astra (most capable). Requests use the Responses API with store: false (nothing is kept on OpenAI's side); newer models only call tools through it. Set "openaiApi": "chat" to use Chat Completions instead, e.g. for a proxy that only speaks it.openai-compatible works with Ollama (http://127.0.0.1:11434/v1, the default), LM Studio (http://127.0.0.1:1234/v1), vLLM and similar. Set contextTokens to your model's context window so inputs are trimmed correctly.Install it like any plugin (Homebridge 1.8+ or 2.x):
npm install -g @mp-consulting/homebridge-ai-kit
Then open its settings in the Homebridge UI. The settings page edits the HomebridgeAiKit platform block, tests the connection with the values in the form, and shows ready-to-paste configs for Claude Desktop, Claude Code and Cursor.
{
"platform": "HomebridgeAiKit", "name": "AI Kit", "enabled": true, "provider": "anthropic", // anthropic | openai | gemini | openai-compatible "model": "claude-sonnet-5-5", // optional, defaults per provider "apiKey": "sk-ant-…", // secret, redacted wherever config is shown to a model "baseUrl": "http://127.0.0.1:11434/v1", // openai-compatible only (or a proxy) "contextTokens": 32768, // optional override, mainly for local models "maxOutputTokens": 2048, "effort": "medium", // Claude and OpenAI: low | medium | high | xhigh | max (unset = model default) "openaiApi": "responses", // openai / openai-compatible: responses | chat (default responses for OpenAI, chat for local servers) "maxRetries": 2, // retries on 408/429/5xx/529 and network errors (backoff, honours retry-after); 0 = off "mcp": { "http": { "enabled": false, "host": "127.0.0.1", "port": 8582, "token": "…", // bearer token MCP clients must send "homebridgeUrl": "http://127.0.0.1:8581", "homebridgeToken": "hbg_…", // Glass UI API token the tools act with "homebridgeTokenId": "…", // written by Glass UI so it can revoke that token; leave as is "homebridgeCertFingerprint": "AB:CD:…", // https UI with a self-signed certificate: its SHA-256 fingerprint "homebridgeCertPath": "/path/to/certificate.pem", // or a PEM with the UI's certificate or its CA "readOnly": false, // true caps every client token at read-only "clients": [ // more client tokens, each with a scope: read | control | admin { "name": "Dashboard", "token": "…", "scope": "read" } ], "allowedOrigins": ["https://my-dashboard.local"], // browser pages allowed besides localhost / this server's IP "auditLog": true, // log every write tool call (JSONL) "auditLogPath": "/var/lib/homebridge/homebridge-ai-kit-audit.jsonl" // default: Homebridge storage path } } }
With mcp.http.enabled, the plugin serves MCP at http:// : /mcp while Homebridge runs. It needs a client token (mcp.http.token, HOMEBRIDGE_AI_MCP_TOKEN, or at least one scoped token in mcp.http.clients) and Homebridge credentials: a Glass UI API token in homebridgeToken, or the HOMEBRIDGE_* environment variables. A read-only API token gives clients read-only access.
The MCP server uses two different tokens:
| Token | What it is for | Stored in |
|---|---|---|
| Client token | What Claude, Cursor or another MCP client must send (Authorization: Bearer …) to reach the HTTP MCP server. Full access (admin), or read-only with mcp.http.readOnly | mcp.http.token (or HOMEBRIDGE_AI_MCP_TOKEN for the CLI) |
| Scoped client tokens | Optional extra client tokens with less access, e.g. a read-only token for a dashboard | mcp.http.clients (or HOMEBRIDGE_AI_MCP_TOKENS for the CLI) |
| Homebridge API token | What the MCP server sends to the Homebridge UI to run its tools. Its scope decides what clients can do: read gives read-only tools, admin gives all of them | mcp.http.homebridgeToken (or HOMEBRIDGE_TOKEN for the CLI) |
Where to set or generate them:
HOMEBRIDGE_AI_MCP_TOKEN and HOMEBRIDGE_TOKEN (see MCP server), e.g. HOMEBRIDGE_AI_MCP_TOKEN=$(openssl rand -base64 24).Client token scopes (each includes the ones before it):
| Scope | Tools |
|---|---|
read | Every read-only tool |
control | Plus device control: set_accessory, set_security_accessory (locks still need the user's confirmation), set_accessories, run_scene |
admin | Plus everything else: config writes and restores, backups, save_scene, test notifications, plugin installs and updates, restarts, cached accessories, child bridges |
The main client token is admin (as before), or read when readOnly is on; readOnly caps the scoped tokens too. A session belongs to the token that opened it. The client token decides which tools a client sees; the Homebridge API token still limits what the server itself can do, so a read API token keeps everything read-only.
Every write tool call is appended to an audit log ( /homebridge-ai-kit-audit.jsonl by default; mcp.http.auditLog / auditLogPath, or HOMEBRIDGE_AI_AUDIT_LOG for the CLI): one JSON object per line with ts, tool, args (secrets redacted), ok, error, session, client, principal (the token's name: default for the main token, agent for runAgent) and scope; notConfirmed: true marks a destructive call the user declined (MCP elicitation, or runAgent's confirm), which did not run. Dry runs are logged too, with dryRun: true in args. runAgent takes the same audit option. It rotates at 5 MB and keeps three old files.
Glass UI also stores homebridgeTokenId, the id of the API token it created, so it can revoke the token when you replace or remove it. The settings page keeps it (and any other field it doesn't show) when it saves.
Node refuses a self-signed certificate, so the MCP server can't reach a Homebridge UI served that way until you tell it which certificate to trust. Verification is never turned off: the setting only appli
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요