← ayurak.com

INDIVIDUAL MCP TOOL

get_billing

Billing status + self-service payment for your company: credit-wallet balance, pay-per-use flag, license tier / annual commitment, per-action prices, purchasable plans, and any approved-but-unpaid plans.

ayurak.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.aribot.ayurak.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_billing and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Potential side effects detected · medium confidence · heuristic, not a guarantee.

  • A tool name or description suggests a financial action.

Parent server

ayurak.com

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.aribot-mcp]
url = "https://mcp.aribot.ayurak.com/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "aribot-mcp": {
      "type": "http",
      "url": "https://mcp.aribot.ayurak.com/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: aribot-mcp
Remote MCP URL: https://mcp.aribot.ayurak.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "aribot-mcp": {
      "url": "https://mcp.aribot.ayurak.com/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "aribot-mcp": {
      "type": "http",
      "url": "https://mcp.aribot.ayurak.com/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "aribot-mcp",
  "transport": "streamable-http",
  "url": "https://mcp.aribot.ayurak.com/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • onboard_agents — Bulk-onboard agent identities to the governed fleet (Agent Governance).
  • generate_threat_model — Create a threat model from a normalized architecture (ReactFlow nodes + edges).
  • verify_threats_in_code — Verify whether threats are mitigated in a scan's uploaded code.
  • get_traceability — Return the diagram→threat→finding→control→requirement→remediation traceability matrix for a scan in your scope, with coverage metrics.
  • get_framework_coverage — Compliance-framework coverage for a diagram (real, ControlCodeMap-backed), optionally for one framework, plus an optional crossmap relationship graph.
  • get_remediation — Compute a remediation plan for a threat/finding WITHOUT applying it (mode=dry_run).
  • compliance_status — Company-level compliance posture rollup (pass rate, control compliance, mitigated counts, per-framework coverage).
  • discover_shadow_ai — Shadow-AI posture (part of Code Security): unsanctioned / unknown AI-service usage discovered in code — totals, risk score, provider/type breakdown, hardcoded-key count, and top discoveries.