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Mcp Spark History

↗ github.com/kubeflow/mcp-apache-spark-history-server official repository

MCP server and CLI for Apache Spark History Server. Enables AI agents and engineers to debug Spark applications, analyze job performance, and investigate failu…

MCP serverSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last observation30 Oct 2026pricing pages rechecked daily
Website liveness30 Oct 2026alive · separate from pricing

What it does

The specific capability behind this listing, and where to get it.

Mcp Spark History

MCP server and CLI for Apache Spark History Server. Enables AI agents and engineers to debug Spark applications, analyze job performance, and investigate failu…

MCP
Price status · observed daily

Source repository available · no commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

MCP

Is Mcp Spark History good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

Source repository

Source repository available · no commercial pricing observed.

A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.

Observed commercial pricenone
Hosting model—
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

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Mcp Spark History's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

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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": "mcp_spark_history_server",
  "name": "Mcp Spark History",
  "url": "https://github.com/kubeflow/mcp-apache-spark-history-server",
  "logo": "https://github.com/kubeflow.png?size=200",
  "niche": "log-analysis-agent",
  "category": "developer-tools-infra",
  "short_summary": "MCP server and CLI for Apache Spark History Server. Enables AI agents and engineers to debug Spark applications, analyze job performance, and investigate failu…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public pricing is shown for this open-source Kubeflow Spark AI Toolkit repository.",
    "confidence": "medium",
    "source_url": "https://github.com/kubeflow/mcp-apache-spark-history-server",
    "checked_at": "2026-10-24T02:22:13.610Z",
    "source_kind": "vendor",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/kubeflow/mcp-apache-spark-history-server"
  ],
  "last_checked": "2026-10-24",
  "profile_checked": null,
  "price_checked": "2026-10-24",
  "how_to_connect": {
    "website": "https://github.com/kubeflow/mcp-apache-spark-history-server",
    "docs": null,
    "mcp": {
      "endpoint": "https://api.github.com/repos/kubeflow/mcp",
      "transport": "http",
      "config_snippet": "{\n  \"mcpServers\": {\n    \"mcp_spark_history_server\": {\n      \"url\": \"https://api.github.com/repos/kubeflow/mcp\"\n    }\n  }\n}"
    },
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": "uvx (no install needed) uvx --from mcp-apache-spark-history-server spark-mcp # Or i",
    "repository": "https://github.com/kubeflow/mcp-apache-spark-history-server"
  },
  "deployment": {
    "model": "both",
    "both_offered": false,
    "hosted_endpoint": "https://api.github.com/repos/kubeflow/mcp",
    "install": "uvx (no install needed) uvx --from mcp-apache-spark-history-server spark-mcp # Or i",
    "note": "Offered both ways: a vendor-hosted endpoint AND a self-run install are documented.",
    "evidence": {
      "sources": [
        "page_text:hosted",
        "page_text:install",
        "page_text:licence"
      ],
      "excerpt": "Kiro. Install # Auto-detect latest version, OS, and architecture VERSION= $( curl -s https://api.github.com/repos/kubeflow/mcp-apache-spark-history-server/releases | grep",
      "url": "https://github.com/kubeflow/mcp-apache-spark-history-server",
      "observed_day": "2026-10-29",
      "age_days": 2,
      "hosted_evidence": "vendor endpoint URL on the page",
      "rule": "deploy-v1"
    }
  },
  "licence": {
    "name": "APACHE",
    "note": "Named licence as published; applies to the code, not to where it runs.",
    "evidence": "page text: \"ernetes mcp mcp-server Resources Readme Apache-2.0 license Code of conduct Code\"",
    "observed_day": "2026-10-29",
    "age_days": 2
  },
  "evidence_checks": {
    "price": {
      "status": "unknown",
      "note": "no observed price page text held for this listing"
    },
    "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": 149,
    "uptime_7d": 1,
    "checked_at": "2026-10-30T02:40:29.895Z",
    "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."
}