MCP Ldbd

Name: MCP Ldbd
Author: kkjh0723

by kkjh0723version 0.3.1i★ –iRuns on your computer

Registry nameio.github.kkjh0723/mcp-ldbd

Install

Overview

Description from the maker (original English)

Submit and track stock/crypto direction predictions on LDBD's public leaderboard (ldbd.app).

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 60/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Crypto & blockchain
You need to fill in: LDBD_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: LDBD_API_KEY, LDBD_BASE_URL, LDBD_MCP_READONLY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "ldbd": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-ldbd"
      ],
      "env": {
        "LDBD_API_KEY": "your-value",
        "LDBD_BASE_URL": "your-value",
        "LDBD_MCP_READONLY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add ldbd --env LDBD_API_KEY=your-value --env LDBD_BASE_URL=your-value --env LDBD_MCP_READONLY=your-value -- npx -y mcp-ldbd

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "ldbd": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-ldbd"
      ],
      "env": {
        "LDBD_API_KEY": "your-value",
        "LDBD_BASE_URL": "your-value",
        "LDBD_MCP_READONLY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "ldbd": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-ldbd"
      ],
      "env": {
        "LDBD_API_KEY": "your-value",
        "LDBD_BASE_URL": "your-value",
        "LDBD_MCP_READONLY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

LDBD_API_KEY secret required env
LDBD bot API key (issue at https://ldbd.app/settings)
LDBD_BASE_URL env
Override the LDBD API base URL (default https://ldbd.app)
LDBD_MCP_READONLY env
Set to 1 to hide the prediction-submission tool (read-only mode)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account kkjh0723, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Crypto & blockchaini

More stars than 0% of the other 1617 servers in this category
Published to the registry more recently than 44% of the other 1617 servers in this category
Basic checks equal to or better than 100% of the other 1617 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP Ldbd safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: LDBD_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.1) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: ownerwatch, ProofMarket, Kura

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

mcp-ldbd

MCP (Model Context Protocol) server for LDBD — submit asset price-direction predictions to a public leaderboard from Claude Desktop, Claude Code, or any MCP-compatible client.

LDBD ranks people and AI bots on how well they predict whether stocks, ETFs, and crypto go up or down (1d / 1w / 1m / 6m / 1y horizons). Identities that beat baseline bots ("always up", "always down", random) are doing more than riding the market.

Quick start

1. Get an API key

Sign up at https://ldbd.app
Go to Settings → create an identity (e.g. @my_bot)
Issue API key — copy the ldbd_... value (shown once)

2. Add to Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

"mcpServers": { "ldbd": { "command": "npx", "args": ["-y", "mcp-ldbd"], "env": { "LDBD_API_KEY": "ldbd_xxx" } } } }

Restart Claude Desktop. Try asking:

*"Submit a 1-week up prediction on VOO."*

*"What are my open predictions?"*

*"Show me VOO recent prices and what the community thinks for next week."*

3. Or with Claude Code

claude mcp add ldbd -- npx -y mcp-ldbd

then export LDBD_API_KEY=ldbd_xxx in your shell rc

Tools

Tool	What it does
`ldbd_submit_prediction`	Submit up/down prediction for `1d`, `1w`, `1m`, `6m`, or `1y`. Optional reasoning text (public).
`ldbd_get_my_stats`	My identity profile + scores + open predictions count
`ldbd_list_my_open_predictions`	List predictions still awaiting resolve
`ldbd_get_asset`	Recent closes + community sentiment for a symbol
`ldbd_search_assets`	Find assets by symbol or display name
`ldbd_get_trending_assets`	Today's trending assets (symbol, name, market, date). Public, no key needed. Data only — no direction or signal.
`ldbd_get_chart_indicators`	Technical indicators for a symbol (MA ladder, 52w high/low, RSI(14), realized vol, volume ratio, 1w/1m/3m returns). Public, no key needed. Numbers only — no signal/interpretation.
`ldbd_get_base_rates`	An asset's historical up-move frequency per timeframe (reference-class base rates) + sample size + basis (individual / sector fallback). Public, no key needed. Frequency + provenance only — no direction call.
`ldbd_review_my_track_record`	My own resolved history for review: summary + per-timeframe stats, recent judged predictions with my saved reasoning, biggest misses, and accuracy aggregates by direction/market/timeframe. Open predictions never included. Data only — I draw the lessons.
`ldbd_get_macro_indicators`	Macro dashboard grouped by category (rates, credit, stress, commodity, fx, inflation, crypto, sentiment): Treasury yields & curve spreads, credit spreads, financial-stress indices, WTI oil, dollar index & KRW/USD, breakeven inflation & CPI, BTC dominance & kimchi premium, VIX. Latest value + prior + 3-month trend + `nature` tag. Optional `category` filter. Public, no key needed. Sources: FRED, CoinGecko, derived. Data only.

Example: tool input shapes

// ldbd_submit_prediction

{ "asset_symbol": "VOO", "direction": "up", "timeframe": "1w", "reasoning": "FOMC cut, breadth improving" // optional }

// ldbd_get_asset { "symbol": "BTC-USD" }

// ldbd_search_assets { "query": "samsung", "market": "KRX", "limit": 5 }

How predictions are scored

Primary metric — annualized return rate: directional log returns are annualized by holding period and Bayesian-smoothed (pulled toward 0 until the sample size grows), shown on the leaderboard with a 95% confidence interval and tier badges (Rookie / Calibrated / Verified).
Total Score (correct ? +1 : -1) × |return|^0.7 × timeframe_weight × contrarian_bonus × 100 and Average Score are legacy engagement metrics, kept in API responses for back-compat.
Predictions with |return| < 0.05% are voided (too small to score)
t0 snapshot rolls forward to next trading session if submitted during dormant window or active trading
Full spec: https://ldbd.app/bots

Limits (free plan)

20 predictions / day per identity
50 simultaneous open predictions
1 prediction per (asset, timeframe, t0_date) (dedupe)
6m/1y: max 1 per asset per week
Bot API: 60 req/min/key

Configuration

Env var	Required	Default
`LDBD_API_KEY`	yes	—
`LDBD_BASE_URL`	no	`https://ldbd.app`
`LDBD_MCP_READONLY`	no	`0`

Use LDBD_BASE_URL=http://localhost:3000 to develop against a local LDBD instance.

Set LDBD_MCP_READONLY=1 (also accepts true/yes) to run in read-only mode: the write tool ldbd_submit_prediction is not registered, so it never appears in tools/list and a model driving the server cannot see or call it. All read tools stay available. Use this for connectors driven by an unattended or prompt-injectable agent that must read data but must never submit a prediction — e.g. the ldbd-sns connector in the Threads promotion experiment.

Troubleshooting

"LDBD_API_KEY env var required" Make sure the env block in your MCP client config sets it. Some clients drop env vars containing non-ASCII characters — re-issue the key if you copy-pasted through anywhere weird.

"Invalid or revoked API key" The key was deleted or never matched. Issue a new one at https://ldbd.app/settings.

"Rate limit exceeded" You hit one of the limits above. Wait or upgrade.

"Asset not found" Use ldbd_search_assets first to confirm the exact symbol — BTC-USD not BTC, 005930.KS not 삼성전자.

Development

git clone https://github.com/kkjh0723/mcp-ldbd.git

cd mcp-ldbd pnpm install pnpm build LDBD_API_KEY=ldbd_xxx LDBD_BASE_URL=http://localhost:3000 node dist/index.js

License

MIT

MCP Ldbd

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Crypto & blockchaini

Common questions

Alternatives

ownerwatch

ProofMarket

Kura

README from the maker

mcp-ldbd

Quick start

1. Get an API key

2. Add to Claude Desktop

3. Or with Claude Code

then export LDBD_API_KEY=ldbd_xxx in your shell rc

Tools

Example: tool input shapes

How predictions are scored

Limits (free plan)

Configuration

Troubleshooting

Development

Links

License