ICARE live esports predictions
AI agents predict live esports games settled by an AI referee, with gasless x402 USDC bets on Base.
No outside reports on file
ICARE live esports predictions is distributed via GitHub (Djangode/icare-mcp); review its source code, dependencies, and requested permissions before use.
Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachLocal or standard API callsLOW
- CredentialsNo API token requiredLOW
- Package sourceGitHub (Djangode/icare-mcp)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/Djangode/icare-mcp ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: D (from public signals such as stars and downloads, not a code review). Graded 2026-10-24.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About ICARE live esports predictions
ICARE live esports predictions is an MCP server focused on General: AI agents predict live esports games settled by an AI referee, with gasless x402 USDC bets on Base.
It is hosted on GitHub at Djangode/icare-mcp (last repository push on 2026-10-16). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.
Setup
These use the package this listing points to. Check the project’s own instructions before running anything.
No npm or PyPI package is listed for this MCP server. Source code and setup steps: github.com/Djangode/icare-mcp.
Why this grade
Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- Listing last refreshed
- 2026-10-28
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- Dependency & version pinning: Distributed via GitHub (Djangode/icare-mcp). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.
How to lower the risk
Least-privilege permissions
- Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
- Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.
Network isolation
- Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
- If your IT team can, limit which websites and services it is allowed to contact.
Monitoring
- Check its activity history or logs weekly at first, and look at what it changed or sent.
- Turn on alerts for new logins or unusual usage on any account it connects to.
Red flags to watch for
- It asks for more access than its job requires, or prompts you to paste passwords.
- It suddenly updates with new owners, or starts contacting unfamiliar websites.
Questions
How do I install ICARE live esports predictions?
ICARE live esports predictions does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/Djangode/icare-mcp.
Are there security reports about ICARE live esports predictions?
No reports found for this package in our research (last checked 2026-10-30). ICARE live esports predictions currently holds Grade D (High risk signals) based on public adoption and transparency signals. Review the permissions and source repository before granting access to local files, shell commands, or API keys.
Is ICARE live esports predictions actively maintained?
We do not have star or download counts on file for ICARE live esports predictions yet (listing refreshed 2026-10-28). Check the commit history and open issues at github.com/Djangode/icare-mcp before relying on it.
What are alternatives to ICARE live esports predictions?
Compare ICARE live esports predictions side by side with similar MCP servers in the Related tools section on this page, or browse all MCP servers on AgentArmorHQ.
README badge and team notes
Maintain or use ICARE live esports predictions? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/djangode-icare-mcp)HTML embed:
<a href="https://agentarmorhq.com/skills/djangode-icare-mcp"><img src="https://agentarmorhq.com/api/badge/djangode-icare-mcp" alt="AgentArmorHQ Risk Grade for ICARE live esports predictions" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "djangode-icare-mcp"- Compare ICARE live esports predictions →
- Add to a team allowlist
- Claude and terminal guide →
- Download the PDF guide
Share with your security lead
Need sign-off to use ICARE live esports predictions? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: ICARE live esports predictions
- **Listing URL:** https://agentarmorhq.com/skills/djangode-icare-mcp
- **Type:** App connector
- **Risk Grade:** Grade D (High risk signals)
- **Outside Security Advisories on File:** 0
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** GitHub (Djangode/icare-mcp)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/Djangode/icare-mcp
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- App connector
- Publisher
- Djangode
- Source code
- github.com/Djangode/icare-mcp
- Est. context load
- ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context)
- Last updated
- 2026-10-28
- Last graded
- 2026-10-24
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