MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
제작자가 쓴 설명(영어 원문)
HaloPSA ticket triage, SLA-breach pre-emption, and cross-client analytics for any MCP agent.
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.
HALOPSA_BASE_URL, HALOPSA_CLIENT_ID, HALOPSA_CLIENT_SECRET, HALOPSA_DOMAIN, HALOPSA_OAUTH_SCOPE, HALOPSA_SCOPE, HALOPSA_TENANT, HALOPSA_TOKEN, HALOPSA_TOKEN_URL, HALOPSA_NO_CONFIG_WRITE비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
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
실행하기 전에 빈 값을 채워 주세요.
브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
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.
HALOPSA_BASE_URL envHALOPSA_DOMAIN envHALOPSA_SCOPE envHALOPSA_TOKEN_URL envHALOPSA_NO_CONFIG_WRITE 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 6일 점검
레지스트리 이름이 GitHub 계정 servosity 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: HALOPSA_CLIENT_ID, HALOPSA_CLIENT_SECRET, HALOPSA_OAUTH_SCOPE, HALOPSA_TENANT, HALOPSA_TOKEN
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(0.2.22)은 14일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 MCPB도 있어야 해요.
같은 카테고리에는: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Unofficial. Community-built Claude Code Skill and MCP server for the HaloPSA, HaloITSM, and HaloCRM APIs. Not affiliated with, endorsed by, or sponsored by Halo Service Solutions Ltd. HaloPSA, HaloITSM, and HaloCRM are trademarks of Halo Service Solutions Ltd.
▶ Watch the 30-second demo - demo data is simulated; every command shown exists in the real CLI.
Add HaloPSA ticket triage, SLA-breach pre-emption, per-client situational awareness, and cross-client analytics to the AI you already use - Claude Code, Claude Desktop, ChatGPT (desktop app), Codex, Cursor, Windsurf, Cline, Continue, Gemini, or GitHub Copilot. Free, open source, runs on your laptop. A local SQLite mirror means your AI can answer cross-client questions the live Halo API can't return in one shot - no rate-limit hits during QBR prep. Built for MSP owners. No code required.
Security note (until this connector is reprinted). Do not run HTTP mode
(
--transport http), not even on localhost. This build has no password,
listens on every network interface, and predates the browser-rebinding guard,
so a web page you open can reach it. The MCP tools can also make changes with
your credentials. Use the default stdio transport. If you set up a tunnel for
a remote agent, shut it down. A fix is on the way.
The five agents MSP owners actually use:
| Your AI agent | How to install the HaloPSA skill |
|---|---|
| Claude Desktop | Run installer, then Settings > Extensions to register halopsa-mcp (no JSON editing). |
| ChatGPT (desktop app) | Run installer, then add halopsa-mcp in Settings > MCP servers as a local (STDIO) server. ChatGPT on the web is not supported yet. |
| Claude Code | Paste the install prompt below. |
| Codex CLI | Paste the install prompt below. |
| Claude Cowork | Paste the install prompt below. |
The ChatGPT desktop app runs halopsa-mcp locally and shares MCP configuration with Codex (OpenAI). ChatGPT on the web needs a remote (HTTP) server, and this connector's HTTP mode is paused until it is reprinted (see the security note in mcp-install.md), so msp-skills does not support it yet. If your team works there, a hosted gateway is the better pick; check that your AI app is on the gateway's setup list.
Also works with Cursor, Windsurf, Cline, Continue.dev, Zed, GitHub Copilot, and Gemini CLI - plus Hermes and OpenClaw, both via MCP and the pre-wired skill frontmatter. Full per-tool wire-up: [docs/which-agent.md](../../docs/which-agent.md).
Run more than one agent? Install across all 51+ supported agents in one command:
npx skills add Servosity/msp-skills@latest(requires Node.js, then run the per-skill installer for the CLI/MCP binaries). See docs/which-agent.md.
.mcpbClaude Desktop bundle: the
.mcpblaunches on macOS (Intel and Apple Silicon), Windows x64 and Linux x64. Every tool shells out to the companionhalopsa-cli. Releases cut from 2026-09-18 on ship that CLI inside the bundle; older bundles contain only the MCP server, so if yours lacks the companion, run the Path A or Path B installer below first (or setHALOPSA_CLI_PATHto an existing binary). Details: #331.
Download HaloPSA MCP (.mcpb) - then open Claude Desktop > Settings > Extensions and select the file. One click, no JSON, no shell. (Browse every HaloPSA release on the releases page.)
Prefer the Claude Code plugin? Add the marketplace once, then install - works immediately, no directory listing required:
/plugin marketplace add Servosity/msp-skills
/plugin install halopsa@msp-skills
Copy this into Claude Code, Codex CLI, or Claude Cowork:
Install the HaloPSA Skill and MCP server from Servosity/msp-skills in this agent workspace. If this workspace uses a POSIX shell (macOS, Linux, WSL, or Bash), run
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/halopsa/install.sh). If it uses Windows PowerShell, runiwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/halopsa/install.ps1 | iex. Then authenticate withhalopsa-cli auth login(Configuration > Integrations > Halo PSA API in your tenant gives you the credentials) and runhalopsa-cli --helpto explore.
The same prompt works in any agent that can run shell.
Windows (PowerShell):
iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/halopsa/install.ps1 | iex
macOS / Linux:
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/halopsa/install.sh)
The installer drops both halopsa-cli (the CLI) and halopsa-mcp (the MCP server) into your user bin path. Claude Code, Codex, and Cowork discover the Skill via SKILL.md in this directory; the binary is what the Skill actually drives.
Verify:
halopsa-cli --version
The installer always fetches the current release - re-run it to upgrade:
macOS / Linux:
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/halopsa/install.sh)
Windows (PowerShell):
iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/halopsa/install.ps1 | iex
Claude Desktop .mcpb users: download the latest .mcpb (top of this section) and re-select it in Settings > Extensions. Claude Code plugin users: /plugin update halopsa@msp-skills.
After the installer runs, see [mcp-install.md](./mcp-install.md) and [docs/which-agent.md](../../docs/which-agent.md) for the per-agent wire-up. Claude Desktop's Settings > Extensions panel is the simplest path.
From the Hermes CLI:
hermes skills install servosity/msp-skills/skills/halopsa --force
Inside a Hermes chat session:
/skills install servosity/msp-skills/skills/halopsa --force
Hermes speaks MCP natively, so it can also use the halopsa-mcp server directly - same install path, same env vars.
OpenClaw is GA. Install the skill directly from this repo:
openclaw skills install git:Servosity/msp-skills/skills/halopsa@main
Or tell your OpenClaw agent (copy this):
Install the halopsa skill from https://github.com/Servosity/msp-skills/tree/main/skills/halopsa. The
metadata.openclawfrontmatter declares the required CLI (halopsa-cli) and env vars; runopenclaw doctorif anything is missing.
openclaw also speaks MCP natively (see openclaw mcp set in the OpenClaw MCP docs) so you can wire halopsa-mcp as an MCP server alongside the skill.
HaloPSA uses OAuth2 client_credentials. Create an API application in your tenant under Configuration → Integrations → Halo PSA API (Authentication Method: Client ID and Secret, Services), then:
HALOPSA_TENANT=<yourtenant> halopsa-cli auth login \
--client-id --client-secret
The CLI caches the access token and auto-refreshes before expiry.
Outcome-first, with the single command that answers each question:
| Question your MSP keeps asking | Command |
|---|---|
| What's about to breach SLA in the next 24 hours? | halopsa-cli sla breaching --within 24h |
| What's the dispatcher view across all agents and teams? | halopsa-cli triage --team Support |
| Who's overloaded right now? | halopsa-cli agent workload |
| What's the whole story for this client, on one screen? | halopsa-cli client card "Acme Corp" |
| How much contract time is left across every contract? | halopsa-cli contracts burn |
| Which clients have stale tickets aging out? | halopsa-cli tickets age-out |
| What changed in Halo since this morning? | halopsa-cli tickets changed-since 9:00 |
| What's the asset history for this device? | halopsa-cli asset history |
| Which KB article should the tech link to? | halopsa-cli kbarticle suggest --ticket 12345 |
| First-time hydration of the local SQLite mirror | halopsa-cli sync --full |
Full command reference: guide.md. For the AI-agent operating contract (--agent, --dry-run, when to confirm before mutating), see AGENTS.md.
Most HaloPSA MCP servers and AI integrations proxy each question into a live API call. That's fine for one ticket. It dies at QBR time, when you're asking *"how many backup-failure tickets across all 47 clients last quarter, grouped by contract type?"* - that's 47 paginated REST calls, HaloPSA rate-limit headaches (limits aren't publicly documented; they vary by hosting), and a context window full of raw JSON the model has to re-read.
This skill syncs HaloPSA into a local SQLite mirror with full-text search. Aggregate questions become one local SQL join: instant, offline, and the AI sees the answer, not the raw data. Compound commands like triage, client card, and contracts burn join across tickets, clients, contracts, time, and assets - work a stateless API wrapper can't do.
It complements HaloPSA's built-in ChatGPT integration (which is great for per-ticket work like rewriting replies and sentiment-flagging). The two are non-overlapping.
Two pains MSP owners name repeatedly:
This skill puts the PSA's cross-entity truth one sentence away from any team member or their agent: triage / sla breaching surface what will breach before it does; client card gives any teammate one situational-awareness panel on demand; contracts burn catches unpriced work early; agent workload makes the queue legible across the whole team. The knowledge of how to read the PSA moves from a person into a Skill any teammate (or their agent) can run.
Yes, in the ChatGPT desktop app. It runs MCP servers locally (STDIO), the way halopsa-mcp runs, and shares MCP configuration with Codex (OpenAI): add halopsa-mcp under Settings > MCP servers as a STDIO server, or add it once to Codex's ~/.codex/config.toml. ChatGPT on the web i
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요