Apache Spark History Server MCP
Apache Spark History Server MCP enabling AI agents to query the Spark History Server — retrieving completed and running Spark job metadata, execution timelines, stage details, and task metrics — integrating Spark's job monitoring into agent-driven data engineering observability and pipeline debugging workflows.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Internal network. No built-in auth. Community MCP. Job data may be sensitive.
⚡ Reliability
Best When
A data engineering team runs Apache Spark workloads and wants AI-assisted job monitoring and debugging — querying the History Server to understand job performance and failures.
Avoid When
You don't use Spark or need real-time active job monitoring rather than historical data.
Use Cases
- • Querying Spark job execution history from data engineering agents
- • Analyzing failed Spark job stages for debugging from troubleshooting agents
- • Monitoring Spark pipeline performance from data platform agents
- • Retrieving task-level execution metrics from performance analysis agents
- • Comparing job run times across Spark versions from benchmarking agents
- • Investigating data skew and bottlenecks from optimization agents
Not For
- • Teams not running Apache Spark jobs
- • Real-time Spark streaming monitoring (History Server shows completed jobs)
- • Spark job submission — this is read-only monitoring
Interface
Authentication
No authentication by default — Spark History Server typically runs on internal network. Configure network security for production deployments. Some clusters add authentication.
Pricing
Apache Spark is free open source. Community MCP is free. Spark compute infrastructure costs apply.
Agent Metadata
Known Gotchas
- ⚠ Spark History Server must be running and accessible
- ⚠ Job data retention is limited by History Server configuration
- ⚠ Large Spark clusters may have very large job histories — pagination important
- ⚠ Community MCP from individual contributor — niche data engineering tool
- ⚠ Spark History Server API version varies by Spark version
- ⚠ No authentication by default — ensure network-level security
Alternatives
Full Evaluation Report
Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Apache Spark History Server MCP.
Scores are editorial opinions as of 2026-03-06.