{
  "id": "12-cube-software",
  "slug": "cube-software",
  "normalized_name": "cube software",
  "name": "Cube Software",
  "vendor_url": "cubesoftware.com",
  "category": "forecasting-revenue",
  "what_it_does": "Spreadsheet-native FP&A planning and reporting platform for finance teams; revenue-scenario modeling is one supported use case rather than a dedicated CRM-native sales-forecasting product.",
  "ai_features": "Markets an \"Agentic Finance Layer\" and AI agents included on every tier, covering budget narratives, variance/actuals-vs-forecast analysis, and \"three revenue scenarios\" modeling - vendor-described, not independently verified against a specific model architecture.",
  "mcp_status": "official",
  "mcp_url": "https://mcp.cubesoftware.com/ ; https://www.cubesoftware.com/mcp ; docs: https://help.cubesoftware.com/hc/en-us/articles/45569561283092-Connect-Cube-to-AI-Apps-via-MCP-Server",
  "mcp_auth": "OAuth - no manual API key management.",
  "api_gate": "paid. MCP is included on Silver and Gold tiers (available as a paid add-on on the entry Bronze tier); no free tier or self-serve signup - all pricing is quote-only (\"Get a quote\").",
  "revops_role": "FP&A-adjacent planning layer, included here (like Vareto) because revenue-scenario modeling is one of its supported use cases, not because it is a CRM-native pipeline-forecasting specialist.",
  "tier": "RESEARCHED",
  "last_checked": "2026-09-07",
  "sources": "https://www.cubesoftware.com/mcp, https://www.cubesoftware.com/pricing, https://help.cubesoftware.com/hc/en-us/articles/45569561283092-Connect-Cube-to-AI-Apps-via-MCP-Server, https://www.pulsemcp.com/servers?q=cube, https://mcp.cubesoftware.com/",
  "notes": "A separate community MCP server (github.com/isaacwasserman/mcp_cube_server) exists for \"Cube\" the open-source semantic-layer/BI engine (cube.dev) - a different, unrelated product from Cube Software the FP&A vendor. Do not conflate the two when searching \"Cube MCP.\" 2026-09-07: https://mcp.cubesoftware.com/ returned 401 {\"error\": \"invalid_token\", \"error_description\": \"Authentication failed. The provided bearer token is invalid...\"} to an MCP initialize POST (https://mcp.cubesoftware.com/).",
  "mcp_status_bucket": "official",
  "api_gate_bucket": "paid",
  "mcp_urls": [
    "https://mcp.cubesoftware.com/",
    "https://www.cubesoftware.com/mcp",
    "https://help.cubesoftware.com/hc/en-us/articles/45569561283092-Connect-Cube-to-AI-Apps-via-MCP-Server"
  ],
  "source_urls": [
    "https://www.cubesoftware.com/mcp",
    "https://www.cubesoftware.com/pricing",
    "https://help.cubesoftware.com/hc/en-us/articles/45569561283092-Connect-Cube-to-AI-Apps-via-MCP-Server",
    "https://www.pulsemcp.com/servers?q=cube",
    "https://mcp.cubesoftware.com/"
  ],
  "source_annotations": [],
  "vendor_domain": "cubesoftware.com",
  "display_name": "Cube Software",
  "docs_url": null,
  "jobs": [
    "model-revenue-plan"
  ],
  "jobs_tagged_by": "machine-pass",
  "jobs_tagged_on": "2026-08-25",
  "github_url": null,
  "github_stars": null,
  "github_last_commit": null,
  "github_archived": null,
  "github_fetched_on": null,
  "github_candidates": [],
  "docs_digest": null,
  "docs_last_crawled": null,
  "submission": null,
  "mcp_tools": [],
  "mcp_tool_count": 0,
  "mcp_tools_evidence": null,
  "mcp_tools_repo": null,
  "mcp_tools_repo_party": null,
  "mcp_catalog_shape": null,
  "mcp_catalog_note": null,
  "mcp_tools_fetched_on": null,
  "cli_status": "none-found",
  "cli_party": null,
  "cli_binary": null,
  "cli_install": [],
  "cli_login": null,
  "cli_commands_seen": [],
  "cli_docs_url": null,
  "cli_repo": null,
  "cli_packages": [],
  "cli_evidence": null,
  "cli_checked_on": "2026-09-27",
  "github_org": null,
  "github_org_status": "unresolved",
  "github_org_url": null,
  "github_org_evidence": {
    "rule": null,
    "reason": "github candidates were seen but none passed the evidence rules",
    "candidates_rejected": [
      {
        "login": "thewca",
        "from": "rule 3 (Cube Software)",
        "type": "Organization",
        "website": "https://www.worldcubeassociation.org/",
        "rejected": "website worldcubeassociation.org does not match cubesoftware.com"
      },
      {
        "login": "cubert-hyperspectral",
        "from": "rule 3 (Cube Software)",
        "type": "Organization",
        "website": "https://www.cubert-hyperspectral.com/",
        "rejected": "website cubert-hyperspectral.com does not match cubesoftware.com"
      },
      {
        "login": "Freeze-Software",
        "from": "rule 3 (Cube Software)",
        "type": "Organization",
        "website": "https://freezeos.org",
        "rejected": "website freezeos.org does not match cubesoftware.com"
      },
      {
        "login": "Ultra-Cube",
        "from": "rule 3 (Cube Software)",
        "type": "Organization",
        "website": "https://ucubetech.com",
        "rejected": "website ucubetech.com does not match cubesoftware.com"
      },
      {
        "login": "stakecube",
        "from": "rule 3 (Cube Software)",
        "type": "Organization",
        "website": "https://stakecubecoin.net",
        "rejected": "website stakecubecoin.net does not match cubesoftware.com"
      }
    ]
  },
  "github_org_repos": 0,
  "github_org_repos_mcp": 0,
  "github_org_repos_cli": 0,
  "github_org_latest_activity": null,
  "github_org_recent_repos": [],
  "github_org_checked_on": "2026-09-08",
  "mcp_endpoint": null,
  "mcp_docs_url": null,
  "endpoint_status": "unreachable",
  "endpoint_http_status": null,
  "endpoint_last_probed": "2026-09-04",
  "endpoint_wall_note": null,
  "canonical": true,
  "canonical_id": "12-cube-software",
  "also_listed_in": [],
  "source_file": "12-forecasting-revenue.md",
  "source_line": 207,
  "file_index": 10,
  "category_num": "12",
  "category_slug": "forecasting-revenue",
  "category_label": "Forecasting & Revenue",
  "heading": "Cube Software",
  "missing_schema_fields": [],
  "extra_fields": {},
  "display_rank": 81
}
