Coinrailz MCP Server

coinrailz-mcp PyPI v1.2.0

Published by tdnupe3 — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.

MCP server exposing 63 Coin Railz x402 micropayment services — crypto analytics, trading signals, NASA/ESA satellite data, IoT sensors, AI inference, and prediction markets

Trust grade
A
96/100
Last scanned get badge →
Trust
A · 96/100
Adoption risk for you: the threat score, then adjusted down for blast radius, publisher verification and how much the scan could see. Deterministic; every point is auditable.
Capability
Moderate
Blast radius if it went rogue — what the server’s tools could reach. Independent of trust.
Coverage
Source
How much the scan could actually inspect. Shallow coverage is stated, never hidden.
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A Why this grade threat 100 − adoption risk = 96/100

The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.

1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:

The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.

2. Client adoption risk — 100 − 4 = 96. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:

PointsAdoption-risk factor
−3 capability blast radius (moderate) — client exposure if the model is manipulated
−1 publisher verification (public source) — no provenance, but the source is public and inspectable

Capability observations and info notes are shown under Findings but never scored. Open any row's finding below for the file, line and evidence behind a deduction.

Findings 0

✓ No findings. The scan raised nothing on this surface — see Coverage for how deep it could look.

Tools 63

Each tool and what it can reach — statically extracted from the published source.

  • get_token_metadatareads sensitive data
  • get_token_pricereads sensitive data
  • get_token_sentimentreads sensitive data
  • analyze_leaseno sensitive capability
  • bridge_tokensno sensitive capability
  • build_transactionno sensitive capability
  • create_agent_walletno sensitive capability
  • create_instant_agent_walletno sensitive capability
  • detect_floodsno sensitive capability
  • detect_fraudno sensitive capability
Show 53 more tools ↓
  • export_iot_bulk_datano sensitive capability
  • find_solana_yieldno sensitive capability
  • get_air_qualityno sensitive capability
  • get_arbitrage_opportunitiesno sensitive capability
  • get_batch_quoteno sensitive capability
  • get_correlation_matrixno sensitive capability
  • get_credit_risk_scoreno sensitive capability
  • get_dex_liquidityno sensitive capability
  • get_fire_alertsno sensitive capability
  • get_fleet_telematicsno sensitive capability
  • get_forex_sentimentno sensitive capability
  • get_gas_pricesno sensitive capability
  • get_kalshi_marketsno sensitive capability
  • get_kalshi_oddsno sensitive capability
  • get_land_useno sensitive capability
  • get_multi_chain_balanceno sensitive capability
  • get_ocean_colorno sensitive capability
  • get_polymarket_eventsno sensitive capability
  • get_polymarket_oddsno sensitive capability
  • get_precipitation_datano sensitive capability
  • get_prediction_market_oddsno sensitive capability
  • get_property_valuationno sensitive capability
  • get_risk_metricsno sensitive capability
  • get_satellite_earthdatano sensitive capability
  • get_sea_surface_temperatureno sensitive capability
  • get_sentiment_analysisno sensitive capability
  • get_soil_moistureno sensitive capability
  • get_stock_sentimentno sensitive capability
  • get_trade_signalsno sensitive capability
  • get_trading_signalno sensitive capability
  • get_trending_tokensno sensitive capability
  • get_vegetation_healthno sensitive capability
  • get_wallet_risk_scoreno sensitive capability
  • get_weather_imageryno sensitive capability
  • get_weather_station_datano sensitive capability
  • get_whale_alertsno sensitive capability
  • manage_approvalsno sensitive capability
  • optimize_portfoliono sensitive capability
  • ping_coinrailzno sensitive capability
  • read_iot_sensorno sensitive capability
  • request_compliance_consultationno sensitive capability
  • request_payment_processingno sensitive capability
  • request_smart_contract_auditno sensitive capability
  • run_ai_inferenceno sensitive capability
  • run_compliance_checkno sensitive capability
  • scan_smart_contractno sensitive capability
  • search_earthdata_granulesno sensitive capability
  • search_kalshino sensitive capability
  • search_polymarketno sensitive capability
  • stream_iot_deviceno sensitive capability
  • track_construction_progressno sensitive capability
  • track_portfoliono sensitive capability
  • verify_agent_identityno sensitive capability

What this scan could not see

Versions 1

Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.

VersionScoreFindingsEngineScanned
v1.2.0 latest A 96/100 0 1.13.0 2026-08-25

Embed this score

Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.

MCP Trust Score: A · 96/100
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Verify this score yourself

The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.

npx mcptrustchecker scan coinrailz-mcp --online --registry pypi

Use the free API → How scoring works

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