PropProfessor MCP

28 tools. 7 can modify or destroy data without limits.

3 destructive tools with no built-in limits. Policy required.

Last updated:

7 can modify or destroy data
21 read-only
28 tools total

Community server · catalogue entry verified 30/06/2026

How to control PropProfessor MCP ↓

What PropProfessor MCP exposes to your agents

Read (21) Write / Execute (4) Destructive / Financial (3)
Critical Risk

The most dangerous PropProfessor MCP tools

7 of PropProfessor MCP's 28 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

How to control PropProfessor MCP

PolicyLayer is an MCP gateway — it sits between your AI agents and PropProfessor MCP, and nothing reaches the server without passing your rules. These are the rules we recommend:

Block financial tools by default
{
  "smart_bet": {
    "deny_if": [
      {
        "conditions": [],
        "on_deny": "Requires human approval."
      }
    ]
  }
}

Financial tools should be explicitly enabled per use case, not open by default.

Deny destructive operations
{
  "clear_score_timeline": {
    "deny_if": [
      {
        "conditions": [],
        "on_deny": "Blocked by default. Requires approval."
      }
    ]
  }
}

Destructive tools should never be available to autonomous agents without human approval.

Rate limit write operations
{
  "log_pick": {
    "limits": [
      {
        "counter": "log_pick_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations
{
  "all_slates": {
    "limits": [
      {
        "counter": "all_slates_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

Controls API costs and prevents retry loops from exhausting upstream rate limits.

  1. Create a free account and register PropProfessor MCP — nothing to install.
  2. Add these rules — paste them, or build them visually. Tune the limits to your setup.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
ENFORCE POLICY ON PROPPROFESSOR →

Instant setup, no code required.

All 28 PropProfessor MCP tools

READ 21 tools
Read all_slates Query multiple active leagues at once and return a consolidated ranked list. Best for daily discovery: one cal Read ask Parse a natural language betting query into structured components (league, book, market, side, line, player) a Read ev_candidates Query the sportsbook +EV endpoint and return candidate plays for enabled books. Secondary discovery only — use Read fantasy_optimizer Query the Fantasy Optimizer for DFS-style player picks across fantasy apps (PrizePicks, Underdog, etc.). Retur Read find_best_price Line shopping: show every book Read get_alerts Check for new sharp line movements, steam moves, and significant odds changes since you last checked. Uses the Read get_market_registry Returns the list of markets available for a sport on a specific book. Use this BEFORE calling quick_screen to Read get_pick_history View your logged betting history. Filter by status (pending/won/lost/push/all), league, recency, and limit. Re Read get_pick_stats Get your personal betting performance stats: win rate, profit/loss, breakdowns by league and confidence tier. Read get_play_details Get full details (including line history, consensus, movement debug) for specific plays by game ID. Generic ma Read get_started Get the recommended workflow based on use case. Call this first to understand which tools to use for quick sit Read health_status Check auth freshness and endpoint connectivity. Reports token persistence state: Read league_presets Show the current sport-specific ranking presets — which books count as sharp per league, the default market bu Read mlb_game_context Get game-level context for an MLB game: starting pitchers (probable → confirmed), venue + park factor, hourly Read player_context Get recent news, tweets, and a computed risk flag for a player. Returns up to 30 recent tweets mentioning the Read quick_screen The fastest way to find playable bets on ANY book in one call. Specifies a target book (or books), scans all l Read recommended_bets Return only the highest-quality movement signals across requested leagues, ranked by signal strength. Each row Read screen_ranked Query /screen and return hydrated ranked rows with consensus, movement, and freshness metadata for any market. Read sharp_consensus Analyze line history across multiple time windows (1h, 2h, 6h, 12h, 24h, 48h) to detect sustained sharp book c Read sharp_plays Add-on scanner for the best target-book plays with supportive sharp movement. Queries /screen across leagues/m Read ufc_card Query a UFC card and return a first-class shortlist response with official plays, best looks, passes, and summ

Related servers

Other MCP servers with similar tools — same risk classification, starter policies for each.

Questions about PropProfessor MCP

Can an AI agent move money through the PropProfessor MCP server? +

Yes. The PropProfessor MCP server exposes 2 financial tools including smart_bet, staking_plan. Without a policy, an autonomous agent can call these with no spend caps, no rate limits, and no approval flow. PolicyLayer lets you block financial tools by default, require human approval, or set per-tool rate limits — enforced on every call.

Can an AI agent delete data through the PropProfessor MCP server? +

Yes. The PropProfessor MCP server exposes 1 destructive tools including clear_score_timeline. These permanently remove resources with no undo. PolicyLayer blocks destructive tools by default so they never reach the upstream server.

How do I prevent bulk modifications through PropProfessor MCP? +

The PropProfessor MCP server has 3 write tools including log_pick, manage_hidden_bets, resolve_pick. Set a rate limit in your policy -- for example, 10 calls per hour prevents an agent from making more than 10 modifications per hour. PolicyLayer enforces this at the gateway, before calls reach PropProfessor MCP.

How many tools does the PropProfessor MCP server expose? +

28 tools across 4 categories: Destructive, Execute, Read, Write. 21 are read-only. 7 can modify, create, or delete data.

How do I enforce a policy on PropProfessor MCP? +

Register the PropProfessor MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Enforce policy on every PropProfessor MCP tool call.

Deterministic rules across all 28 PropProfessor MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Instant setup, no code required.

28 PropProfessor MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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