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Prediction Friction Tracker MCP Server

by Ndrysdal Byte
Developer ToolsLow Risk8.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

Prediction-market fee/KYC/withdrawal data, venue recommendations, and a paid x402 change feed.

About

Prediction-market fee/KYC/withdrawal data, venue recommendations, and a paid x402 change feed.

Remote endpoints: streamable-http: https://prediction-friction-tracker-production.up.railway.app/mcp/

Security Report

8.0
Low Risk8.0Low Risk

Valid MCP server (2 strong, 3 medium validity signals). 4 known CVEs in dependencies Imported from the Official MCP Registry.

Endpoint verified · Open access · 4 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

file_system

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

What You'll Need

Set these up before or after installing:

ANTHROPIC_API_KEYRequired

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-ndrysdal-byte-prediction-friction-tracker": {
      "url": "https://prediction-friction-tracker-production.up.railway.app/mcp/"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Prediction market friction tracker

Structured KYC, fee, and withdrawal data across 12 prediction-market venues, plus a change feed for when those terms move and a natural-language "which venue is best for X" recommendation tool. Built for AI agents that need to check execution friction before routing a trade — not for humans clicking around a dashboard.

Live now: https://prediction-friction-tracker-production.up.railway.app

For agents: three ways in

  1. Plain HTTP — GET /friction/venues, GET /friction/venue/{slug}, GET /friction/changes?since=<ISO8601>. Full OpenAPI spec at /openapi.json, interactive docs at /docs, agent-readable summary at /llms.txt.
  2. MCP — a streamable-HTTP MCP server mounted at /mcp/, exposing list_venues, get_venue, recommend_venue, and get_changes_info as tools. Point any MCP-compatible client at the /mcp/ URL directly.
  3. x402 — /friction/changes (the time-sensitive change feed) is gated by the x402 protocol: unpaid requests get a real 402 with a payment challenge; pay $0.05 USDC on Base mainnet and retry to get the data. This is live, verified end-to-end with real money, not a demo — see api.py for the CDP-facilitator wiring.

Endpoints

EndpointCostWhat it returns
GET /friction/venuesFreeCurrent snapshot of every tracked venue. Optional ?confidence=verified|stale|unconfirmed filter.
GET /friction/venue/{slug}FreeOne venue's current fee/KYC/withdrawal/API-access data, e.g. /friction/venue/kalshi.
GET /friction/changes?since=<ISO8601>$0.05 USDC (x402)Append-only log of every detected change since a timestamp — the time-sensitive product.

Every record carries a confidence field: verified (spot-checked or high-confidence extraction), stale (source was unreachable, showing a cached value), or unconfirmed (LLM extraction was ambiguous). Treat unconfirmed as a lead to verify against the venue directly, not a fact to trade on.

MCP tools

  • list_venues(confidence) — browse/filter the current snapshot.
  • get_venue(slug) — one venue's full data.
  • recommend_venue(query) — free-text "which venue is best for lowest fees on high-frequency trading" / "I don't want to do KYC" / "API access without a wallet" style questions, reasoned over the current dataset. Says so explicitly rather than guessing when a query depends on data this tracker doesn't have (liquidity, volume, spread, uptime).
  • get_changes_info() — describes the paid change feed (URL, price) without reimplementing it for free.

What's here

FileWhat it does
schema.pyThe data model — one VenueFriction record per venue, plus the VenueRecommendation response shape
venues.pyThe 12 tracked venues and their policy-page source URLs
scrapers/base.pyFetches and cleans raw policy-page text (requests + Playwright fallback for JS-rendered pages)
extract.pySends raw page text to Claude, gets back a structured VenueFriction matching the schema
recommend.pyNatural-language venue recommendation — reasons over the current dataset via Claude, structured-output constrained to real venue slugs
reference_check.pyCross-checks scraped fees against a third-party source (TradeBlock), flags divergences for human review
storage.pySQLite: current_state table (latest snapshot) + change_log table (append-only, the paid product)
diff.pyCompares a fresh extraction to the stored one, writes a ChangeEvent for anything that moved
run_pipeline.pyOrchestrates fetch → extract → diff → store, for all 12 venues
api.pyFastAPI server — the HTTP endpoints above, x402 payment gating, MCP mount
mcp_server.pyThe MCP tool definitions, mounted into api.py at /mcp/
test_pipeline_logic.py, test_recommend_logic.pyPure-logic tests, no API key needed

Running it locally

pip install -r requirements.txt
python test_pipeline_logic.py      # no API key needed, proves storage/diff logic
python test_recommend_logic.py     # no API key needed, proves recommendation logic
export ANTHROPIC_API_KEY=sk-ant-...
python run_pipeline.py             # real scrape -> extract -> store, all 12 venues
uvicorn api:app --reload           # boots the API on localhost:8000

Then in another terminal:

curl http://localhost:8000/friction/venues
curl http://localhost:8000/friction/venue/kalshi
curl "http://localhost:8000/friction/changes?since=2020-01-01T00:00:00Z"

See CLAUDE.md for environment quirks, Claude API usage notes, and the data-quality/confidence model in more depth.

Informational only — not financial or legal advice. Verify directly with the venue before acting on any figure returned here.

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