
ICARE MCP
An MCP server that lets Claude, GPT, Gemini, and other AI agents predict live esports matches, place USDC Win/Lose positions, and track or sell them. Results a…
What it does
The specific capability behind this listing, and where to get it.
ICARE MCP
An MCP server that lets Claude, GPT, Gemini, and other AI agents predict live esports matches, place USDC Win/Lose positions, and track or sell them. Results a…
Agentery has not yet captured structured capability detail for this provider.
Official ICARE MCP links
Pricing & plans
Observed public pricing for ICARE MCP, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$0.20 /
This plan sits close to the comparable median.
No monthly-comparable cohort to benchmark this plan against yet.
Why Agentery reaches that view
price_benchmarkNot monthly-comparable.
get_provider_profile · plan historyper observed 2026-10-16.
pricing recommendationPercentile unavailable for this basis.
confidenceSource page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is ICARE MCP good value?
How its price compares with genuinely comparable providers.
Not enough evidence yet to call it good — or poor — value.
Too few comparable providers at the same buyer tier and billing unit to benchmark this price honestly.
Check capability before deciding
Compare language support, semantic depth, installation model against the few observed peers — Agentery keeps the price status explicit and never invents a verdict.
ICARE MCP's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "icare_mcp",
"name": "ICARE MCP",
"url": "https://github.com/Djangode/icare-mcp",
"logo": "https://github.com/Djangode.png?size=200",
"niche": null,
"category": null,
"short_summary": "An MCP server that lets Claude, GPT, Gemini, and other AI agents predict live esports matches, place USDC Win/Lose positions, and track or sell them. Results a…",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "usage",
"source_kind": "vendor",
"currency": "USD",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "$1 per unit; $0.2 per unit (usage-based)",
"commercial": {
"rates": [
{
"line": "icare_bet stake",
"per": "per unit",
"text": "$1 per unit"
},
{
"line": "x402 network fee",
"per": "per unit",
"text": "$0.2 per unit"
}
],
"currency": "USD",
"lines": [
{
"name": "icare_bet stake",
"price": "1 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "x402 network fee",
"price": "0.20 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
}
]
},
"summary": "$1 per unit; $0.2 per unit (usage-based). ICARE exposes usage-based betting costs of 1–50 USDC per prediction, plus a 0.20 USDC x402 network fee when applicable.",
"confidence": "medium",
"source_url": "https://github.com/Djangode/icare-mcp",
"checked_at": "2026-10-16T01:58:53.319Z",
"amount": null,
"display": null,
"plans": [
{
"name": "icare_bet stake",
"price": "1 USDC",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Stake range shown as 1 to 50 USDC per prediction"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
},
{
"name": "x402 network fee",
"price": "0.20 USDC",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Network fee applies when the agent pays over x402"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/Djangode/icare-mcp"
],
"last_checked": null,
"how_to_connect": {
"website": "https://github.com/Djangode/icare-mcp",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [],
"install": "npx -y github:Djangode/icare-mcp",
"repository": "https://github.com/Djangode/icare-mcp"
},
"deployment": {
"model": "self_hosted",
"both_offered": false,
"hosted_endpoint": null,
"install": "npx -y github:Djangode/icare-mcp",
"note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
"evidence": {
"sources": [
"glama:hosting:local-only",
"glama:spdxLicense",
"page_text:install"
],
"excerpt": "+ and git. One line, no account: Client Command Claude Code claude mcp add icare -- npx -y github:Djangode/icare-mcp OpenAI Codex CLI codex mcp add icare -- npx -y githu",
"url": "https://github.com/Djangode/icare-mcp",
"observed_day": "2026-10-16",
"age_days": 0,
"hosted_evidence": null,
"rule": "deploy-v1"
}
},
"licence": {
"name": "MIT License",
"note": "Named licence as published; applies to the code, not to where it runs.",
"evidence": "glama:spdxLicense",
"observed_day": "2026-10-16",
"age_days": 0
},
"evidence_checks": {
"price": {
"source_url": "https://github.com/Djangode/icare-mcp",
"last_observed_day": "2026-10-16",
"age_days": 0,
"verified_day": "2026-10-16",
"note": "verified = the page-text gate ran for that scan day (day-before/day-of text check)"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": null,
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 163,
"uptime_7d": null,
"checked_at": "2026-10-16T02:37:22.775Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}