Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Find parent companies, PE backers, corporate families, and portfolio siblings for any company.
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.
Authorization비밀로 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.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
터미널에서 이 명령어를 실행하세요
claude mcp add --transport http spotlight https://spotlight-mcp.magellandata.io/mcp --header 'Authorization: your-value'실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"spotlight": {
"url": "https://spotlight-mcp.magellandata.io/mcp",
"headers": {
"Authorization": "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": {
"spotlight": {
"type": "http",
"url": "https://spotlight-mcp.magellandata.io/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
Authorization 비밀 필수 HTTP header이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
게시자(magellandata.io)가 저장소 소유자(sorrek)가 아니에요. 다른 사람이 등록했을 수 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 0개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: Authorization
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.0)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Reelsaw
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Drive a self-hosted Reelsaw: turn long videos into vertical clips, edit, re-render and export them.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Corporate ownership intelligence for AI agents. Connect Claude, Cursor, or any MCP-compatible client to Magellan Data's Spotlight platform and ask who owns whom — parent companies, PE backing, corporate families, and portfolio siblings — over lists of thousands of companies at a time.
Hosted server. No install. Connect with an API key, or via OAuth from hosted connectors like claude.ai.
https://spotlight-mcp.magellandata.io/mcp
That's an MCP endpoint, not a web page — paste it into your client's config, not your browser. Opening it directly returns an error, which is the correct behaviour for every hosted MCP server.
Once connected, these all work in plain language:
"Read
accounts.xlsxand tell me which of these companies are PE-backed, and by whom."
"We just closed Moosend. Find every other company owned by the same PE firm — those are
our warm expansion targets."
"Which of my 200 accounts are subsidiaries of a larger parent? Append the parent company
to the spreadsheet and save it."
"Map the full corporate family under Constant Contact's parent so I can see the sister
companies I'm not covering."
The agent handles the whole pipeline — submitting the batch, polling until the runs finish, checking the price, and joining results back to your original file by input_url.
1. Get an API key. Sign up at magellandata.io and generate a key from the Spotlight dashboard. Keys look like mgln_sk_live_…. Every key carries its own credit balance, and usage is billed to the key that made the call.
2. Connect your client.
Claude Code
claude mcp add --transport http magellan-data https://spotlight-mcp.magellandata.io/mcp \
--header "Authorization: Bearer mgln_sk_live_YOUR_KEY"
claude mcp list # expect: magellan-data ... ✓ Connected
</details>
Cursor
Add to ~/.cursor/mcp.json (or .cursor/mcp.json in a project):
{
"mcpServers": { "magellan-data": { "url": "https://spotlight-mcp.magellandata.io/mcp", "headers": { "Authorization": "Bearer mgln_sk_live_YOUR_KEY" } } } }
</details>
VS Code
Add to .vscode/mcp.json — this prompts for the key rather than storing it in the file:
{
"inputs": [ { "type": "promptString", "id": "magellanKey", "description": "Magellan Data API key (mgln_sk_live_...)", "password": true } ], "servers": { "magellan-data": { "type": "http", "url": "https://spotlight-mcp.magellandata.io/mcp", "headers": { "Authorization": "Bearer ${input:magellanKey}" } } } }
</details>
Any other MCP client
The server speaks Streamable HTTP and is stateless. Point any compliant client at https://spotlight-mcp.magellandata.io/mcp with an Authorization: Bearer header.
3. Verify. Ask your agent: *"Check my Magellan Data credit balance."* If it comes back with a number, you're connected. That call is free.
Two methods are supported; use whichever fits how you're connecting.
API keys (mgln_sk_live_…) — for local and CLI clients like Claude Code, Cursor, or anything you configure by hand. Generate a key in the Spotlight dashboard and pass it as a Bearer token in the Authorization header, as shown in the quick start above. Usage is billed to the key that made the call.
OAuth 2.1 — for hosted connectors such as claude.ai and ChatGPT. There's nothing OAuth-specific to set up on your side: when you add the connector (from the directory, or as a custom connector where the platform holds the client credentials), you'll be sent to Spotlight to sign in and approve access — the usual "connect, sign in, allow" flow — and the client handles tokens from there. Usage is billed to the Spotlight account you approved with.
Either way, every request is authenticated and attributed to one Spotlight account — the two methods differ only in how the credential reaches the server.
| Output type | Answers | Cost |
|---|---|---|
parent_companies | Is this company a subsidiary, and of whom? | 70 credits per URL where a parent is found — no match, no charge |
pe_ownership | Is it PE-backed, by which firm, and what deal type? | 70 credits per URL found to be PE-backed — no match, no charge |
corporate_families | Every subsidiary and sister company under a shared parent | 20 credits per record returned (min. 1 per URL) |
pe_portfolios | Every company held by the same PE firm | 20 credits per record returned (min. 1 per URL) |
For parent_companies and pe_ownership you pay only for hits: a URL where nothing is discovered costs nothing, so 70 credits × your URL count is the *ceiling*, not the bill. The other two are priced per output record. Either way the exact price is known once a run completes — the agent reads it off the run and tells you before downloading.
This is the part worth understanding, because it's what keeps an autonomous agent from quietly burning your balance:
download_run. Nothing before it costs anything.price field, and the server instructs connected clients to state that number and wait for you before downloading.If you'd rather not think about it: everything up to and including "how much will this cost" is free, and the agent will ask.
| Tool | Charges credits? | What it does |
|---|---|---|
check_credits | No | Your available balance. Doubles as a connection check. |
submit_batch | No | Create a batch from 1–5,000 company URLs. Returns a batch_id. |
process_batch | No | Start async runs — one per output type. Returns immediately. |
list_runs | No | Every run for a batch: status, price, purchase state. |
get_run_status | No | One run's status and price. Poll this until completed. |
download_run | Yes | Buys the results. Returns a short download link plus a preview. |
The flow is always submit → process → poll → download. Results come back as a short download link (https://api.magellandata.io/dl/…, valid for 1 hour) rather than inline, so a 2-million-row result set never touches your agent's context window. The link needs no auth header — hand it straight to curl, pandas.read_csv, or a browser. In hosted chat environments without general internet access (like the claude.ai connector), the assistant presents it as a clickable link for you to open rather than fetching it itself.
There's also a `magellan_playbook` prompt — a GTM strategy guide covering expansion- target ranking, deal_type interpretation, and MSA-timing triggers. In Claude Code it shows up as a slash command under the magellan-data server.
examples/quickstart.py runs the full pipeline against the REST API directly — useful for understanding what the agent is doing under the hood, or for wiring Magellan Data into a non-agentic pipeline.
export MAGELLAN_API_KEY=mgln_sk_live_YOUR_KEY
python examples/quickstart.py --urls moosend.com constantcontact.com --type pe_ownership
examples/accounts.csv and accounts.xlsx are a 12-row fixture you can point an agent at without supplying your own data. The companies span independents, acquired subsidiaries, and PE-backed businesses, so each output type returns something. Enriching all twelve costs at most 840 credits per match-based output type (only the companies where something is found are charged) — cheap enough to validate the pipeline for real.
It stops and asks before the download step, so you can run it end to end without spending credits until you mean to.
examples/PROMPTS.md has a walkthrough of agent prompts in increasing order of ambition, with the expected cost of each noted up front.
The skills/ directory holds task-focused playbooks that turn raw tool output into a finished deliverable — a ranked target list, a coverage map, an enriched spreadsheet — instead of JSON. Clients that support skills can load them from this repo; clients that don't can still be pointed at the markdown directly.
| Skill | Produces |
|---|---|
account-expansion | Ranked warm-intro targets from a closed-won account's ownership graph |
pe-portfolio-map | Coverage map of a PE firm's portfolio against your existing accounts |
ownership-enrichment | Your account list, enriched in place with parent and PE-backing columns |
.mcp.json MCP registration (Claude Code, Codex)
mcp.json MCP registration (Cursor) .vscode/mcp.json MCP registration (VS Code, prompts for key) .claude-plugin/ plugin.json Claude plugin metadata marketplace.json Claude marketplace metadata server.json Official MCP Registry metadata skills/*/SKILL.md Task playbooks examples/ quickstart.py Full pipeline against the REST API PROMPTS.md Agent prompt walkthrough accounts.csv 12-row test fixture accounts.xlsx Same fixture, spreadsheet form assets/ logo.png Wordmark, navy (for light backgrounds) logo-light.png Wordmark, white (for dark backgrounds) social-preview.png 1280x640 social card — upload under Settings > Social preview social-preview-light.png Light-background alternate
To use the manifests locally:
git clone https://github.com/sorrek/mcp.git
Then point your client at the repo root or the specific manifest path.
The endpoint URL shows an error in my browser. Expected. /mcp speaks JSON-RPC over POST; the transport spec reserves GET on that path for opening an event stream, so a server like this one that doesn't offer streams answers with
call check_credits — that's free and exercises the whole auth path.
My client connects but lists no tools. Almost always an auth problem rather than a transport one. Confirm the header is Authorization: Bearer mgln_sk_live_... with the Bearer prefix, and that the key is active in the Spotlight dashboard.
A download link says it has expired (HTTP 410). Download links last an hour. Call download_run again for a fresh one — re-downloads are free.
A run has been `processing` for a long time. Large batches take minutes, not seconds. Poll every 10–30 seconds rather than in a tight loop. If a run sits past 20 minutes, open an issue with the run_id.
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요