What is predictfun-mcp?

An MCP skill for reading and analyzing Predict.fun prediction-market data on BNB Chain, a blockchain network.

It helps inspect platform statistics, rank and research markets, profile traders, review recent activity, analyze yield, and find large positions.

It organizes platform, market, trader, activity, and yield information into defined analysis tools. This reduces the need to assemble those details manually from blockchain data.

predictfun-mcp — Skill for Claude Code and Codex by PaulieB14

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add PaulieB14/predictfun-subgraphs --skill mcp-server

Clone the repo

git clone --depth 1 https://github.com/PaulieB14/predictfun-subgraphs

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/paulieb14/predictfun-subgraphs/mcp-server/github.svg)](https://agentmods.dev/skills/paulieb14/predictfun-subgraphs/mcp-server)

Your own site

<a href="https://agentmods.dev/skills/paulieb14/predictfun-subgraphs/mcp-server"><img src="https://agentmods.dev/badge/skills/paulieb14/predictfun-subgraphs/mcp-server/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/paulieb14/predictfun-subgraphs/mcp-server"><img src="https://agentmods.dev/badge/skills/paulieb14/predictfun-subgraphs/mcp-server.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,498 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00036	$0.01498
Opus 5.5	$0.00014	$0.00599
Sonnet 5.5	$0.00007	$0.00300
Haiku 4.5	$0.00004	$0.00150

Measured 2mo ago against content hash 8bc791c095a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

predictfun-mcp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (dist/index.d.ts, dist/index.js, src/index.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

mcp-server/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Predict.fun MCP

Structured access to Predict.fun prediction market data on BNB Chain — platform stats, market analysis, trader profiling, yield mechanics, and behavioral meta-tools.

Tools

get_platform_stats — Full platform overview: volume, OI, yield, sync status
get_top_markets — Rank markets by volume, open interest, or trade count. OI mode flags zombie OI. NegRisk markets show human-readable names (e.g., "Will Spain win the 2026 FIFA World Cup?")
get_market_details — Deep dive: OI, resolution, top holders (User/Bot/EOA/Protocol labels), orderbook stats, oracle contract identification, zombie OI detection with redemption context
get_trader_profile — Full P&L: trades, positions, payouts, yield rewards. Distinguishes Privy smart wallet users from bots and protocol contracts
get_recent_activity — Latest trades, splits, merges, redemptions, or yield claims
get_yield_overview — Venus Protocol yield stats with context: on-chain claims are protocol-level settlements, per-user yield accrues via position value snapshots
get_whale_positions — Largest holders with % of market OI, market names, User/Bot/EOA labels (protocol contracts filtered at query level)
get_leaderboard — Top traders by volume, payouts, or trade count with User/Bot/EOA labels (protocol contracts filtered at query level)
get_resolved_markets — Recently settled markets with outcomes and condition IDs
query_subgraph — Custom GraphQL against any of the three subgraphs
find_trader_persona — Classify a trader: whale, yield farmer, arbitrageur, early mover, sniper
scan_trader_personas — Find traders matching a behavioral archetype (protocol contracts excluded from whale scan)
tag_market_structure — Tag a market by type (standard, neg_risk, ct_yield, bond), resolution latency, liquidity, oracle type with contract identification, tail risk with zombie OI flags
scan_markets_by_structure — Find markets by structural filter

Read the full file on GitHub · 94 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 94 lines · 36 tokens per session scan A 8bc791c095a3

Subscribe to this mod's changes

predictfun-mcp is a skill published in the GitHub repository PaulieB14/predictfun-subgraphs (0 stars, last pushed 7mo ago), licensed MIT. It adds 36 tokens to every session and 1,498 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Finance and fintech Web3 and blockchain

predictfun-mcp next to 6 skills from other repositories
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predictfun-mcpPaulieB14/predictfun-subgraphs	Skill	0	7mo ago	MIT	A	36	Claude Code, Codex
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