Finance Toolkit
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Description from the maker (original English)
Classify Polymarket wallets as human or bot, score their trading edge, read open positions.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
POLYMARKET_INTEL_API_KEY, X-API-KeyValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"polymarket-intel": {
"command": "uvx",
"args": [
"polymarket-intel-mcp"
],
"env": {
"POLYMARKET_INTEL_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add --transport http polymarket-intel https://polymarket-intel-production.up.railway.app/mcp --header 'X-API-Key: your-value'claude mcp add polymarket-intel --env POLYMARKET_INTEL_API_KEY=your-value -- uvx polymarket-intel-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"polymarket-intel": {
"url": "https://polymarket-intel-production.up.railway.app/mcp",
"headers": {
"X-API-Key": "your-value"
}
}
}
}Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"polymarket-intel": {
"command": "uvx",
"args": [
"polymarket-intel-mcp"
],
"env": {
"POLYMARKET_INTEL_API_KEY": "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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"polymarket-intel": {
"type": "http",
"url": "https://polymarket-intel-production.up.railway.app/mcp",
"headers": {
"X-API-Key": "your-value"
}
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"polymarket-intel": {
"type": "stdio",
"command": "uvx",
"args": [
"polymarket-intel-mcp"
],
"env": {
"POLYMARKET_INTEL_API_KEY": "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 address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
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X-API-Key secret HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
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 7, 2026
The registry name was verified with the GitHub account aemery13, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
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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.
You need to fill in: POLYMARKET_INTEL_API_KEY, X-API-Key
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Finance Toolkit, SolidInvoice, Korea Tax Calculator
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
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An MCP server and REST API that classifies Polymarket wallets as human or bot, scores their trading edge from 0–10, and streams their current open positions. Built for AI agents on copy-trading and signal-following stacks.
# Use it from any MCP client (Claude Desktop, Cursor, etc.)
pip install polymarket-intel-mcp polymarket-intel-mcp
curl https://polymarket-intel-production.up.railway.app/wallet/0xf1528f12e645462c344799b62b1b421a6a4c64aa
## How this fits with other Polymarket MCP servers
Latest: v1.2 (May 2026) — classifier improved to distinguish active human grinders from HFT bots. See release notes and v1.3 backlog issue for what's next.
A daily snapshot job runs at 08:00 UTC and re-scores the top 50 leaderboard wallets, building a historical dataset of classification stability over time.
There are several MCP servers covering Polymarket, each at a different layer:
| Server | What it does | When to use it |
|---|---|---|
| polymarket-intel (this) | Wallet intelligence — classify human vs bot, score trading edge, read open positions | Deciding *whose* signals to follow |
| graph-polymarket-mcp | Market data via The Graph subgraphs (20 tools, 8 subgraphs) | Reading raw on-chain market data |
| whitmorelabs/polymarket-mcp | Slippage, liquidity, arbitrage, price feeds | Pricing your own trades |
| joinQuantish/polymarket | Self-hosted trading agent | Running an autonomous bot |
These complement each other. A copy-trading agent would use polymarket-intel to filter wallets worth following, then graph-polymarket-mcp to read the markets those wallets are betting on, then whitmorelabs/polymarket-mcp to size its own entries.
score_polymarket_wallet(wallet_address) → returns classification ∈ {human, bot, insufficient_data} plus a confidence score and reason codes.edge_score from 0–10, gated on net realised PnL so distributed-but-losing wallets don't get false positives.get_open_positions(wallet_address) returns live positions sorted by size, refreshed every 30s./wallet/{address}/history returns the score time series from the daily snapshots.The Polymarket leaderboard is misleading. It includes unrealised PnL marked-to-current-price, so the names at the top are dominated by bots running structural arb plus a few wallets sitting on huge open positions that may never resolve in their favour. Agents that copy-trade naively from the leaderboard get burned.
This service runs every leaderboard wallet through behavioural fingerprinting (focus ratio, holding period, timing regularity, category concentration) plus PnL reconstruction from raw activity, and only surfaces traders that look like genuine humans with a real edge.
The dataset grows more valuable over time — every day the snapshot job runs, historical signals accumulate. Wallets that have been consistently above edge 7 for 90 days are a stronger signal than any single point-in-time score.
| Surface | Use case | Setup |
|---|---|---|
| MCP server | Agent that needs tool-style access | pip install polymarket-intel-mcp |
| REST API | Custom HTTP integration, dashboards | curl https://polymarket-intel-production.up.railway.app/... |
| Hosted MCP | Agent on any MCP-compatible client | Add https://polymarket-intel-production.up.railway.app/mcp to client config |
┌──────────────────────────────────────────────┐
│ core/ │ │ client.py — Polymarket data API client │ │ signals.py — pure signal calculators │ │ scorer.py — classifier + edge score │ │ models.py — Pydantic response schemas │ ├──────────────────────────────────────────────┤ │ db/ │ │ schema.sql — Postgres tables + indexes │ │ repository.py — Repository protocol + │ │ InMemoryRepository │ │ supabase_repo.py — Supabase impl │ │ converters.py — ScoreResult ↔ records │ ├──────────────────────────────────────────────┤ │ api/main.py — FastAPI HTTP server │ │ mcp_server/ — MCP server (stdio) │ │ scripts/ │ │ analyze_wallet.py — CLI │ │ snapshot_job.py — daily cron entry │ │ tests/ │ └──────────────────────────────────────────────┘
Core has no idea persistence exists. The API and snapshot job depend on the Repository protocol — Supabase in production, in-memory in tests and when env vars are unset. This is what makes the suite run without a database and what lets you swap Supabase for Neon, RDS, or anything else later by adding one file.
git clone <repo> && cd polymarket-intel
python -m venv .venv && source .venv/bin/activate pip install -r requirements-dev.txt pytest # 19 tests, all green
python scripts/analyze_wallet.py phonesculptor
python scripts/analyze_wallet.py 0xf1528f12e645462c344799b62b1b421a6a4c64aa --json
uvicorn api.main:app --reload --port 8000
open http://localhost:8000/docs
The API is split into a slow tier (cached aggressively, cheap, ideal for one-off discovery) and a fast tier (short cache, ideal for live copy-trading agents). The split exists because the underlying data has different freshness needs — a wallet's classification doesn't change minute-to-minute, but their open positions do.
| Tier | Method | Path | TTL | Notes |
|---|---|---|---|---|
| slow | GET | /wallet/{address} | 1h | Score blob — classification, edge_score, signals. No positions. Persisted to history (debounced). |
| fast | GET | /wallet/{address}/positions | 30s | Open positions only. No DB write per call. |
| — | GET | /wallet/{address}/history | DB | Score time series |
| — | GET | /wallet/{address}/positions/history | DB | Position changes over time |
| — | GET | /wallet/by-username/{username} | 1h | Convenience lookup |
| — | GET | /leaderboard?limit=50 | 30m | Raw Polymarket top traders |
| — | GET | /leaderboard/verified?min_edge=5 | 1h | Filtered to scored humans |
| — | GET | /leaderboard/historical?date=… | DB | Leaderboard at any past date |
| — | GET | /snapshots/latest | DB | When did the cron last run? |
Why 30s on positions and not faster? Polygon block time is ~2s and Polymarket's activity index lags a few seconds. Polling below 10s gets you no fresher data, just rate-limit errors. 30s is the sweet spot for cost/freshness/upstream-friendliness.
Why debounced DB writes? A trading agent may hit /wallet/{address} thousands of times an hour. Writing a row per call would bloat history with near-duplicate snapshots. The score endpoint persists at most once per wallet per hour. The daily snapshot job guarantees coverage of the top 50 regardless of API traffic.
python mcp_server/server.py
Then drop mcp_server/claude_desktop_config.example.json into your Claude Desktop config and edit the absolute path.
The server exposes four tools:
score_polymarket_wallet(wallet_address) — full scorescore_polymarket_user(username) — lookup by display nameget_polymarket_leaderboard(limit) — raw leaderboardget_open_positions(wallet_address) — fast snapshot of live bets| Signal | Threshold | Source |
|---|---|---|
| Focus ratio | > 12 | Hubble Research, validated empirically |
| Median hold time | < 60s | HFT / MEV pattern |
| Timing CV | < 0.3 (n≥100) | Scheduled trading |
Soft signals stack: crypto-market-maker pattern, > 200 trades/day, etc.
Hard gate: net realised PnL ≤ 0 → capped at 2.0
Hard gate: < 10 winning markets → capped at 3.0
35% PnL magnitude (log-scaled) 25% win rate (capped at 70%) 15% PnL distribution (penalises top-1 concentration) 15% sample size (winning markets, capped at 50) 10% win/loss ratio (capped at 3x)
Net PnL is the hard gate so wallets like neutralwave23 — many distributed tiny wins masking $375k of losses — are correctly flagged as poor.
money_in = sum(BUY usdcSize per conditionId)
money_out = sum(SELL usdcSize) + sum(REDEEM usdcSize) pnl = money_out - money_in
status: REDEEM exists → won SELL exists, no REDEEM → exited no SELL, no REDEEM, last trade > 7 days old → lost no SELL, no REDEEM, last trade within 7 days → open
Why activity rather than the positions endpoint: positions vanish from the API after redeem, so any naive analysis using /positions undercounts wins. Always reconstruct from /activity?type=TRADE + /activity?type=REDEEM (separate calls — comma-joined types return 400).
The historical dataset is the moat. Every day the snapshot job pulls the leaderboard, scores the top N wallets, and persists three things: the score itself (wallet_scores), the wallet's open positions at that moment (open_position_snapshots), and the leaderboard as it stood (leaderboard_snapshots). After 90 days you can answer questions no one else can: "who has been consistently above edge 7 for the last quarter?", "which wallets just entered the top 50?", "show me everyone who held YES on this market three days before resolution."
# 1. Create a Supabase project, get the URL and service_role key
cp .env.example .env # fill in SUPABASE_URL and SUPABASE_KEY
python scripts/snapshot_job.py --top 10
If SUPABASE_URL and SUPABASE_KEY are unset, both the API and the snapshot job fall back to an in-memory repository — the suite still passes, the API still serves live scoring, but history endpoints will be empty until you wire up Supabase.
Schedule python scripts/snapshot_job.py --top 50 daily (Railway cron, GitHub Actions, or Supabase pg_cron triggering an edge function — your call). The job is idempotent: running twice creates two snapshots, which is fine — history queries pick the closest one.
python scripts/snapshot_job.py --top 50 # production
python scripts/snapshot_job.py --top 5 --dry-run # local testing, no writes
Each run records an audit row in snapshot_runs with start/finish times, wallets scored, and error count.
Only the beginning is shown; read the rest in the repo