Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Stock levels, picks with publish time and price, and a screener from StandPoint's desk. Read only.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://standpointhq.com/api/v1/mcp在终端中运行这条命令
claude mcp add --transport http levelset https://standpointhq.com/api/v1/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"levelset": {
"url": "https://standpointhq.com/api/v1/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"levelset": {
"type": "http",
"url": "https://standpointhq.com/api/v1/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://standpointhq.com/api/v1/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过域名 standpointhq.com 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.2.1)于9天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, AvaHR
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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.
Read hiring data and create inactive assessment and questionnaire drafts for human review.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
The read only MCP connector for stock levels, by StandPoint.
English | Français | Deutsch
▶ Watch the 57 second film · Connect in four steps · Create a free account
Levelset puts StandPoint's market research desk inside Claude, ChatGPT or any assistant that speaks the Model Context Protocol. Ask about a stock in plain words and the answer comes back with its price levels, read from the desk's data instead of guessed.
Every pick it returns carries the instant it was published and the price it was published at, so you can check it against a public ledger.
You Where does NVDA sit on its levels?
Claude Used Levelset · levels_get · NVDA Here is where NVDA sits, as of the 27 Oct 2026 close: 235.65 nearest level above, 8.1% up 217.94 last close 210.56 nearest level below, 3.4% down 205.43 200 day average 189.01 strongest zone, strength 4
This repository holds the connector's documentation, its registry entry and client examples. Levelset itself is hosted: the address below is all a client needs, and there is nothing to install or run.
https://standpointhq.com/api/v1/mcp
Nothing travels the other way. Levelset has no tool that writes.
On the web, in the desktop app, on iPhone and Android.
Levelset, paste https://standpointhq.com/api/v1/mcp and choose Add.Custom connectors need a paid Claude plan. Nine ready made questions then appear in the + menu.
With developer mode on.
Levelset, paste the address, set Authentication to OAuth, then Create.Menu names as of October 2026; they may move.
claude mcp add --transport http levelset https://standpointhq.com/api/v1/mcp
Sign in when it asks, approve, then ask in the session: *"What did the desk publish today?"*
Cursor, a script, a spreadsheet. Paste the address where the client asks for an MCP server.
Authorization: Bearer spk_…. Up to five keys per account, shown once, revocable.JSON config, for clients set up with an mcpServers file (Cursor and similar)
{
"mcpServers": { "levelset": { "url": "https://standpointhq.com/api/v1/mcp", "headers": { "Authorization": "Bearer spk_YOUR_KEY" } } } }
Leave out headers if the client signs in with OAuth.
No account yet? Create one free. No card.
The full picture on a name. Price, levels, fundamentals ranked against the book, the next report, themes and the desk's view, in one call. ticker_profile
The most stretched names. The screener across a book, sorted by reversion, levels, earnings or relative strength. screen
The track record, honestly. Every closed pick since inception, winners and losers, none withheld. picks_record
Every pick, stamped. The time and price each pick was published, checkable in a public ledger. picks_closed
Or ask it your own way:
The figures in these pictures are real connector output for the 27 October 2026 close.
All nine tools carry readOnlyHint: true and destructiveHint: false.
| Tool | What it answers | Free account |
|---|---|---|
picks_today | Today's picks, with the time and price each was published | with a book |
picks_open | Every position held now: published price, last close, unrealised return, target and stop | with a book |
picks_closed | The archive of closed picks, newest first, filterable by date | ✓ |
picks_record | The public record per book: inception, win rate, mean and excess return, the recent closes | ✓ |
overdrive_mine | Your Overdrive list against SPY, with each name's return | with a book |
ticker_profile | Everything about one name in one call | ✓ |
levels_get | Pivot zones, period opens, sigma bands and the 50, 100 and 200 day averages | ✓ |
screen | The screener: filter by book, sector or theme; sort by reversion, levels, earnings or relative strength | ✓ |
books_mine | Which books your account holds | ✓ |
The connector also ships nine prompts (the ready made questions in Claude's + menu), each of which calls the tool that answers it.
Levelset answers plain JSON-RPC over HTTPS, so any language can call it with an API key. Each example below runs with no dependencies.
| Language | File | Run |
|---|---|---|
| Python 3.10+ | examples/python/levelset.py | python levelset.py NVDA |
| TypeScript (Node 22.6+) | examples/typescript/levelset.ts | node levelset.ts NVDA |
| Shell (curl, jq) | examples/shell/levelset.sh | ./levelset.sh levels_get '{"ticker":"NVDA"}' |
export LEVELSET_API_KEY=spk_... # Account, Security on standpointhq.com
curl -s https://standpointhq.com/api/v1/mcp \ -H "Authorization: Bearer $LEVELSET_API_KEY" \ -H "Content-Type: application/json" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"levels_get","arguments":{"ticker":"NVDA"}}}'
The server is stateless: every request stands alone, there is no session to open or close, and responses come back as application/json. Limit: 600 reads an hour per connection.
| Free | With a book | |
|---|---|---|
| The screener, levels and the full profile of any name | ✓ | ✓ |
| The themes, every closed pick and the public record | ✓ | ✓ |
| Today's picks, with the time and price each was published | live | |
| Open positions with target and stop | live | |
| Your Overdrive list, with the S&P Book | live |
Two books, the S&P Book and the Nasdaq Book, priced by how many you hold. See pricing. Nothing live is ever free, and there is no trial. A free account stays free.
No. Levelset has no tool that writes. It cannot place, stage or simulate an order, and it cannot change anything in your account. What you do with an answer is yours, at your own broker.
publishedAt (UTC) and priceAtPublish come back with every answer that cites it.Do I need a StandPoint account?
Yes, a free one. It reads every tool and the whole archive. Create one, no card.
Which markets does it cover?
US equities in two books: the S&P Book (the S&P 500) and the Nasdaq Book (the Nasdaq 100 and growth names).
How fresh is the data?
Levels and the screener are drawn on the last close. Each answer says which session it was read on, and if one book is behind, it says which.
只显示了开头部分;其余内容请在仓库中阅读