mcpbeat

Undesirables MCP Server

io.github.sailorpepe/undesirables-mcp-server
answering

Undesirables MCP Server is answering right now. Last checked 9 min ago. 95 installs a week from pypi. It exposes 15 tools. Last commit 3 Aug 2026.

Conformal TCG risk forecasts + AI card grading, x402 pay-per-call oracle, on-chain soul agents.

Installs per day peak 52 · avg 20 · +19% w/w
a month agotoday
Uptime history 41 hours of history
41 hours agonow
100.0%
Uptime 24h
91 of 91 checks
15
Tools
read from the server
497 ms
Response time
average over 24h
95
Installs / week
npm and PyPI

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.

run in your terminal
claude mcp add undesirables-mcp-server --transport http https://mcp.the-undesirables.com
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "undesirables-mcp-server": {
      "url": "https://mcp.the-undesirables.com"
    }
  }
}
~/.codex/config.toml
[mcp_servers.undesirables-mcp-server]
url = "https://mcp.the-undesirables.com"
.cursor/mcp.json
{
  "mcpServers": {
    "undesirables-mcp-server": {
      "url": "https://mcp.the-undesirables.com"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "undesirables-mcp-server": {
      "url": "https://mcp.the-undesirables.com"
    }
  }
}

Available tools 15

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

syndicate
syndicate_leaderboard
The Syndicate's shared 'Biggest Scores' leaderboard — humans and AI agents on ONE board; agent entries carry {"agent": true} and a model label. Win a game (own the city) and your score posts automatically.
syndicate_move
Submit one day of orders to your Syndicate game and get the resolved day back (events + new state). One order per crew member per day. orders: list of {"agentId": int, "targetId": int, "actionType": str} actionType is one of: raid, driveby, extort, garrison, rob, patrol, heal, pray, retain, injunction, cook_books, audit, hire, swat_raid, charity, intimidate, launder, rig_games, brawl, ambush, campaign, precinct_raid, lay_low, steal_car, fence. Empty orders list = pass the day (the world still moves: rivals act, rackets pay, heat decays). targetId comes from the `targets` and `territory` lists in syndicate_state.
syndicate_state
The Syndicate — a FREE turn-based organized-crime strategy game you (the agent) can play. Same city, same rules, same leaderboard as the human game at play.the-undesirables.com. Call with NO session_id to start a new game (you get a sessionId, your 3-member crew, capital, and a target list). Call with your session_id to re-read the current state any time. Full rules: play.the-undesirables.com/SKILL.md Strategy tip: looted cards are priced by the REAL TCG market — use card_forecast / search_tcg_products to decide what to fence and when.
grade
grade_card
AI-grade a trading card image using a 3-stage pipeline: (1) Qwen Vision LLM analyzes corners, edges, surface defects (2) OpenCV measures exact centering ratios programmatically (3) BGS professional capping algorithm adjusts the final grade Returns PSA/Beckett-calibrated subgrades and an overall condition score. Also includes a free ROI verdict (should you grade this card?). PAID: $0.10 per call via x402. THREE rails are accepted, not just Base: - USDC on Base (eip155:8453) - USDC on Solana (solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp) - USDG on Robinhood Chain (eip155:4663) Solana settlement is verified working end to end. (Audit 2026-07-30, BUG-12.) Use this when: a user has a card image and wants to know what grade it would receive from PSA or Beckett.
grade_or_not
Answers: "Should I grade this card? Will I make money?" Combines AI grade prediction with PSA fee schedules, shipping costs, and graded market values to calculate expected ROI. Returns a clear GO/NO-GO verdict with best-case, predicted, and worst-case profit. PAID: $0.10 USDC per call. Use this when: a user is deciding whether to submit a card for professional grading and wants to know if it's financially worth it.
accuracy
check_accuracy
View TCG Oracle's public prediction accuracy dashboard. Shows mean absolute error, hit rates, grade distribution, and recent prediction reports. FREE — no payment required. Use this when: a user asks "how accurate is the grading AI?" or wants to verify the model's track record.
card
card_forecast
Get the conformal-calibrated 30-day price forecast AND letter grades for a single card in ONE free call. Pass either a card_name (resolved to the best match) or a TCGplayer product_id. FREE — no payment required. Returns an agent-complete object: price, as_of, regime, point (median 30d), move_pct, prob_up, band50_pct, band90_pct, var95_pct, var99_pct, low90, high90, safe_hold grade (A+..F), momentum grade (A+..F or "NA" on a drift spike), drift_spike, image_url, card_url, and a one-line plain_english read (e.g. "~12% chance it's below $Y in 30 days; Safe-Hold B, Momentum A"). Use this when a user asks "is this card a safe hold?", "what's the 30-day outlook?", "how risky is X?", or wants a quick grade on a card. Tip: GET /api/v1/forecast (no args) returns the free board of the top ~200 cards if the user wants a market overview.
market
market_snapshot
Daily TCG market snapshot with top movers, biggest gainers/losers, and volume leaders across all 25 supported card games. PAID: $0.025 USDC per call (x402 — USDC on Base or Solana, or USDG on Robinhood Chain). Previously documented as FREE, which was wrong: the server has always returned a 402 for this route. An autonomous caller budgeting off that docstring hit an unbudgeted paywall. (External audit 2026-07-30, BUG-2.) Use this when: a user asks "what's trending in the card market?" or "what cards are going up/down in value?"
optimize
optimize_portfolio
Optimize a trading card portfolio using Markowitz mean-variance analysis with Merton jump-diffusion Monte Carlo simulations. Provide comma-separated card names, budget, and risk tolerance to receive optimal position sizing, per-card allocation weights, Sharpe ratios, and rebalancing recommendations. PAID: $0.50 USDC per call. Use this when: a user has a budget and wants to know "how should I allocate my money across these cards?"
recommend
recommend_workflow
Describe your goal in natural language and get a recommended sequence of TCG Oracle API calls to accomplish it. FREE — no payment required. Example goals: - "I have 50 raw Pokémon cards and $500 budget" - "Is this Charizard worth grading?" - "Find me undervalued cards to flip" - "Predict the price of a Black Lotus in 90 days" Use this when: you're not sure which tool to call first, or need a multi-step workflow recommendation.
simulate
simulate_price
Predict future trading card value. The default model is the conformal-calibrated risk forecast (deterministic drift + regime-aware split-conformal bands, honest VaR/CVaR, plus Safe-Hold & Momentum letter grades). Monte Carlo GBM and Merton jump-diffusion are available opt-in via model="gbm" or model="merton". Returns full forecast percentiles (5th–95th), model parameters, and confidence intervals with complete mathematical transparency. PAID: $0.015 USDC per call. Use this when: a user wants to know "what will this card be worth in 3 months?" or wants price trajectory predictions.
soul
soul_calls
Full public record for ONE Undesirable soul: every open (locked) prediction and its recent scored results. FREE — no payment required. Use this when: a user wants to inspect a specific soul's calls in detail, or wants to verify one — each open call carries a lock_hash plus the week's merkle root and the on-chain tx it was committed in, BEFORE the outcome was known. That is what makes the record checkable rather than claimed. Args: token_id: minted soul, 1-273.
souls
souls_in_wallet
Show every Undesirable soul a wallet holds, with each soul's public prediction track record and its most recent calls. FREE — no payment, no signature, no wallet connection required. Use this when: someone asks what Undesirables they own, how their souls are performing, what calls their souls have made, or which of their souls is the most accurate. HOW IT WORKS • Ownership is read from Ethereum mainnet (ERC-721 0xA893648A701C03B14bF2FB767B72b2C55ed5c17A). Only the minted souls 1-273 have public records. • Nothing here is private, so you can look up ANY address — the caller does not have to prove they own it. Ask the user for their address. • Each minted soul locks 3 card predictions weekly, chosen deterministically from its on-chain personality traits. The oracle scores them 30 days later against real market prices. WHAT YOU GET BACK • souls[] — per soul: rating (A+..F / UNRATED), matured, hits, hit_rate, brier, open_calls, and recent_calls with each call's outcome (hit / miss / push) • wallet_totals — combined open + matured calls and overall hit rate • best_soul — the holder's most accurate soul, once any have matured HOLDERS WITH SEVERAL SOULS: this is a roster. Offer to compare them, or to speak as a specific one — each has different traits and its own record. IMPORTANT — ratings mature on a schedule. The first predictions mature 2026-07-31, so before then every soul reads UNRATED with open calls only. That is expected, not an error: the calls were committed on-chain BEFORE their outcomes, which is the entire point. Say so rather than implying the soul has no history. Args: address: 0x-prefixed EVM address to look up. calls: recent scored calls to include per soul (0-12, default 5).
tcg
search_tcg_products
Search 449K+ TCG products across 25+ card games. Returns card names and IDs, plus current market prices. FREE — no payment required. Use this when: a user asks about a specific card, wants to find cards, or needs current pricing for any trading card game product. HOW TO SEARCH (card name AND set name are both searchable): • Card name alone casts the widest net: "Charizard", "Black Lotus". • Add the SET to pin down a printing: "Base Set Charizard" returns the Base Set, Base Set 2 and Shadowless Charizards as separate entries. This matters — printings of the "same" card differ wildly in value. • Every result carries a "set" field. Use it to choose, then pass that result's product_id to the other tools (card_forecast, grade_or_not, simulate_price) — exact, and avoids re-searching. • Do NOT include rarity or condition words: "Holo", "1st Edition", "Shadowless", "PSA 10" are not indexed and will sink an otherwise-good query. "Base Set Charizard Holo" → drop "Holo". • Got nothing? Remove the rarity words first, then fall back to the plain card name.
trending
trending_cards
Top trading cards by PRICE VELOCITY (drift), highest absolute movement first. NOTE (corrected 2026-07-30): this previously claimed "30-day sales volume". Sales volume and view counts are NOT in the dataset and the API itself now explicitly disclaims them — see `ranked_by` in the response. Each row carries the same conformal risk model the free /api/v1/forecast board uses. Band and VaR PERCENTAGES are regime-level constants by design (regime-aware split conformal), so cards in the same regime share them; absolute values differ per card. Do not read it as a per-card fit. Covers all 25+ supported TCG games. PAID: $0.025 USDC per call. Use this when: a user asks "what cards are hot right now?" or "what's selling the most?"

Endpoints

URLTransportStateLatencyChecked
https://mcp.the-undesirables.com streamable-http answering 465 ms 9 min ago

Undesirables MCP Server — questions

Answers built from our own checks of this server.

What can Undesirables MCP Server do?
It exposes 15 tools, read directly from the server on our last check. Among them: card_forecast, check_accuracy, grade_card, grade_or_not, market_snapshot, optimize_portfolio and 9 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is Undesirables MCP Server mostly used for?
Its tools cluster around syndicate and grade. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Undesirables MCP Server working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 497 ms. The bar chart above shows every period we have measured.
How do I connect Undesirables MCP Server?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Undesirables MCP Server need an API key?
No. Undesirables MCP Server completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 15 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Undesirables MCP Server?
It answers our handshake in 497 ms on average, which is faster than 23% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Undesirables MCP Server?
The pypi package undesirables-mcp-server was installed 95 times in the last week. Week over week that is +19%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Undesirables MCP Server open source?
Yes — it is published under the NOASSERTION licence, written in Python and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.