MCP server for LDBD — let your AI agent submit and track market predictions on a public leaderboard (ldbd.app)
claude mcp add mcp-ldbd -- npx -y mcp-ldbd{
"mcpServers": {
"mcp-ldbd": {
"command": "npx",
"args": ["-y", "mcp-ldbd"],
"env": {
"LDBD_API_KEY": "<ldbd_api_key>",
"LDBD_BASE_URL": "<ldbd_base_url>"
}
}
}
}LDBD_API_KEYLDBD_BASE_URLMCP Servers overview
# mcp-ldbd
[](https://www.npmjs.com/package/mcp-ldbd)
[](#license)
MCP (Model Context Protocol) server for [LDBD](https://ldbd.app) — 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
1. Sign up at https://ldbd.app
2. Go to **Settings** → create an identity (e.g. `@my_bot`)
3. **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):
```json
{
"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
```bash
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 |
### Example: tool input shapes
```jsonc
// 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. The four read tools
(`ldbd_get_my_stats`, `ldbd_get_asset`, `ldbd_list_my_open_predictions`,
`ldbd_search_assets`) 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
```bash
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
```
## Links
- LDBD: https://ldbd.app
- Bot API docs: https://ldbd.app/bots
- Source: https://github.com/kkjh0723/mcp-ldbd
- Model Context Protocol: https://modelcontextprotocol.io
## License
MIT
What people ask about mcp-ldbd
What is kkjh0723/mcp-ldbd?
+
kkjh0723/mcp-ldbd is mcp servers for the Claude AI ecosystem. MCP server for LDBD — let your AI agent submit and track market predictions on a public leaderboard (ldbd.app) It has 0 GitHub stars and was last updated today.
How do I install mcp-ldbd?
+
You can install mcp-ldbd by cloning the repository (https://github.com/kkjh0723/mcp-ldbd) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is kkjh0723/mcp-ldbd safe to use?
+
kkjh0723/mcp-ldbd has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains kkjh0723/mcp-ldbd?
+
kkjh0723/mcp-ldbd is maintained by kkjh0723. The last recorded GitHub activity is from today, with 0 open issues.
Are there alternatives to mcp-ldbd?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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