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Levelset by StandPoint

Levelset by StandPoint

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mcp.standpointhq.comOther1Updated today

About Levelset by StandPoint

Levelset by StandPoint is a read-only MCP server that provides StandPoint market research data to compatible assistants. It returns stock levels, screener results, and picks with publication times and prices for users reviewing US equities.

Key features

  1. 01Stock levels and price references
  2. 02Stock profiles and fundamentals
  3. 03Screener by book, sector, or theme
  4. 04Open and closed picks with publication details
  5. 05Track records and book information

Use cases

  1. 01Check a stock against price levels
  2. 02Find names near their 200-day average
  3. 03Review upcoming company reports
  4. 04Inspect the record of closed picks

MCP support

Exposes nine read-only tools and nine prompts through a hosted MCP endpoint. MCP clients connect using OAuth or an API key.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://standpointhq.com/api/v1/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README
Levelset
Ask in words. Get the level.

The read only MCP connector for stock levels, by StandPoint.

English | Français | Deutsch

MCP Registry Website Read only Transport Auth

Claude ChatGPT Claude Code License: MIT

An assistant is asked where NVDA sits on its levels. The five prices in its answer lift out of the chat and become a drawn ladder: 235.65 nearest level above, 217.94 the close in amber, 210.56 nearest below, 205.43 the 200 day average, 189.01 the strongest zone.

▶ Watch the 57 second film · Connect in four steps · Create a free account

What it is

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

How it works

1, You ask in words in Claude, ChatGPT or any MCP client. 2, Levelset, the hosted MCP server, picks the tool. 3, Your account, signed in with OAuth or a key, sets the scope: free reads the tools and archive, books add the live calls. 4, The desk returns real figures, each dated. Read only; nothing travels the other way.
  1. Your assistant picks the tool that answers the question.
  2. Levelset checks what your account may read: the tools and the archive on a free account, the live calls once you hold a book.
  3. It returns the desk's own figures, each with its date, and the assistant writes them up.

Nothing travels the other way. Levelset has no tool that writes.

Connect

Claude

On the web, in the desktop app, on iPhone and Android.

  1. Open Settings, then Connectors, then Add custom connector.
  2. Name it Levelset, paste https://standpointhq.com/api/v1/mcp and choose Add.
  3. Choose Connect. Claude sends you to standpointhq.com: sign in with the email on your account and approve.
  4. Back in Claude, open the + menu in a chat and switch Levelset on.

Custom connectors need a paid Claude plan. Nine ready made questions then appear in the + menu.

ChatGPT

With developer mode on.

  1. Open Settings, then Connectors. Under Advanced, switch Developer mode on.
  2. Choose Create. Name it Levelset, paste the address, set Authentication to OAuth, then Create.
  3. ChatGPT sends you to standpointhq.com: sign in with the email on your account and approve.
  4. In a chat, enable Levelset from the connectors menu and ask.

Menu names as of October 2026; they may move.

Claude Code
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?"

Any other client

Cursor, a script, a spreadsheet. Paste the address where the client asks for an MCP server.

  • If it offers to sign in, use that: you approve on standpointhq.com and there is nothing to copy.
  • If it only takes a header, make an API key under Account, Security on standpointhq.com and send it as 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.

What you can ask

ticker_profile for NVDA: relative strength 67 of 99 against semiconductor peers, a pullback of 8.9%, four fundamentals ranked against the S&P Book, themes and the next report.
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
screen sorted by reversion for the S&P Book: eight names ranked by reversion score, from HWM at 90 down to VRT at 79, with their distance from the 52-week high.
The most stretched names. The screener across a book, sorted by reversion, levels, earnings or relative strength. screen
An assistant on a phone answering with the S&P Book's record: 255 closed picks, 65% win rate, mean return 4.57%, none withheld.
The track record, honestly. Every closed pick since inception, winners and losers, none withheld. picks_record
The S&P Book's last three closes, UNP, DLTR and AMGN, each with the second it was published, the price, the close date and the return.
Every pick, stamped. The time and price each pick was published, checkable in a public ledger. picks_closed

Or ask it your own way:

  • Where does NVDA sit on its levels?
  • Anything in the Nasdaq Book near its 200 day?
  • The strongest name in semiconductors.
  • Which of my names report in the next week?
  • What is the track record, honestly?

The figures in these pictures are real connector output for the 27 October 2026 close.

Tools

All nine tools carry readOnlyHint: true and destructiveHint: false.

ToolWhat it answersFree account
picks_todayToday's picks, with the time and price each was publishedwith a book
picks_openEvery position held now: published price, last close, unrealised return, target and stopwith a book
picks_closedThe archive of closed picks, newest first, filterable by date✓
picks_recordThe public record per book: inception, win rate, mean and excess return, the recent closes✓
overdrive_mineYour Overdrive list against SPY, with each name's returnwith a book
ticker_profileEverything about one name in one call✓
levels_getPivot zones, period opens, sigma bands and the 50, 100 and 200 day averages✓
screenThe screener: filter by book, sector or theme; sort by reversion, levels, earnings or relative strength✓
books_mineWhich 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.

Use it from code

Levelset answers plain JSON-RPC over HTTPS, so any language can call it with an API key. Each example below runs with no dependencies.

LanguageFileRun
Python 3.10+examples/python/levelset.pypython levelset.py NVDA
TypeScript (Node 22.6+)examples/typescript/levelset.tsnode 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.

Cost

FreeWith 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 publishedlive
Open positions with target and stoplive
Your Overdrive list, with the S&P Booklive

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.

Can it trade for me?

Can it trade for me? No. It reads. No orders. Nothing changes in your account. Information, not advice.

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.

  • It reads only what your account can read. The tools and the archive on a free account, the live calls once you hold a book.
  • You approve it once, on a consent screen that lists what it reads.
  • You can disconnect it whenever you like. The next call is refused.

Check the record yourself

  • Every closed pick, as CSV
  • Each pick's publishedAt (UTC) and priceAtPublish come back with every answer that cites it.
  • A hash of the record is taken each day, so a past row cannot be changed quietly.

FAQ

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.

Is this investment advice?

No. Levelset reads what the desk has published; nothing it returns is a recommendation for you in particular.

Where is the server code?

Levelset is a hosted service and its server is not open source. This repository holds what a client needs: the address, the registry entry, documentation and examples.

Links

License

The examples in this repository are under the MIT License. The Levelset and StandPoint names, logos, film stills and the hosted service are not covered by it.


README image
Levelset is a StandPoint product, made in Geneva. Information, not advice.

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