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Explorer/MCP/colossal-api/subradar
REMOTE

subradar

colossal-api/subradar
8 tools available
The Journeyman
A reasonable amount of history and nothing concerning in the scan.
Time indexed (4mo)
8toolsRemote/ HTTP4moindexed
100% uptime · 321ms avgChecked Aug 14, 2026
Quality Score
54/95
Established
Risk Score
0/100
Clean
How is this calculated?
Quality Breakdown
Tenure13.3/20
127 days indexed
Capability11.9/25
Tools: 4.9/13 (8 tools)
Description: 0/5
Endpoint: 7/7
Adoption4/25
Use count: 4/20 (9 uses)
Multi-registry: 0/5 (1 registry)
Reliability25/25
Currently live: 10/10
Uptime history: 15/15 100% (36/36 checks)
Security scan: 0 pts in v1.0; ready to weight when coverage improves
Risk
0Clean
No signals detected.
The scanner shows
8 tools. Nothing caught our attention.
First indexed Apr 11, 2026
Server Profile
Tools catalogued
8
8 tools available. Full list below.
Hosting
Remote / HTTP
Runs on the internet. No access to your filesystem, SSH keys, or environment variables.
Registry presence
Not verified
Not yet verified by the Official MCP Registry.
Liveness
100%
Based on 48 checks. Average response: 321ms.
Publisher Verification
Not yet verified by the Official MCP Registry.
Endpoint
https://subradar--colossal-api.run.tools
Tools (8)
detect_subscriptions
Use this tool to analyze a user's bank transactions and identify recurring subscription charges. It uses four detection strategies: (1) recurring amounts from the same merchant on monthly or weekly intervals, (2) matching against 60+ known subscription merchant names (Netflix, Spotify, Adobe, etc.), (3) common subscription price points ($9.99, $14.99, $29.99, etc.), (4) annual recurring charges. Returns each detected subscription with merchant name, amount, frequency, next charge date, and a confidence score (0–1). Set saveResults=true to automatically save detected subscriptions to the user's tracking list.
list_subscriptions
Use this tool to retrieve all tracked subscriptions for a user. Returns merchant name, amount, frequency, next charge date, status, confidence score, and cancellation metadata. Use this before checking analytics or before cancelling to get subscription IDs.
add_subscription
Use this tool to manually add a known subscription to a user's tracking list. Useful when the user knows about a subscription that was not caught by detect_subscriptions (e.g. an annual subscription with only one transaction in history). Cancellation metadata (URL, difficulty) is automatically looked up if the merchant is in the knowledge base.
remove_subscription
Use this tool to permanently remove a subscription from a user's tracking list. This does NOT cancel the subscription with the merchant — use get_cancellation_info or draft_cancellation_message for that. Use list_subscriptions first to obtain the subscriptionId.
update_subscription
Use this tool to update the status or details of a tracked subscription. Most commonly used to mark a subscription as "cancelled" or "paused" after the user has completed cancellation. Updatable fields: status, amount, nextChargeDate, cancelUrl.
get_cancellation_info
Use this tool to look up step-by-step cancellation instructions for a specific merchant. Returns: cancel URL, phone number, difficulty rating (easy/medium/hard), difficulty score (1–10), step-by-step instructions, and warnings about dark patterns the merchant uses to prevent cancellation. Supports 24+ major services including Netflix, Spotify, Adobe, Amazon Prime, gym memberships, and more. Call list_cancellation_merchants first if you are unsure whether a merchant is in the database.
Show all 8 tools ↓
draft_cancellation_message
Use this tool to generate a ready-to-send cancellation email or phone script for a given merchant. For "email" format: returns a formal cancellation email with subject line and body. For "script" format: returns a guided phone call script with suggested responses to common retention tactics. Also returns tips specific to the merchant (dark patterns, fees, gotchas) when available.
get_analytics
Use this tool to get a complete financial picture of a user's subscription spend. Returns: total monthly spend, projected annual cost, subscription count broken down by status (active/cancelled/paused), full subscription list, potential monthly savings if all active subscriptions were cancelled, and high-spend alerts for subscriptions costing more than $30/month. Run detect_subscriptions (with saveResults=true) or add_subscription before calling this tool to populate the user's data.

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