mcp-apache-spark-history-server and dremio-mcp

mcp-apache-spark-history-server
72
Verified
dremio-mcp
58
Established
Maintenance 10/25
Adoption 16/25
Maturity 24/25
Community 22/25
Maintenance 13/25
Adoption 8/25
Maturity 16/25
Community 21/25
Stars: 135
Forks: 46
Downloads: 628
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 47
Forks: 36
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
No risk flags
No Package No Dependents

About mcp-apache-spark-history-server

kubeflow/mcp-apache-spark-history-server

MCP Server for Apache Spark History Server. The bridge between Agentic AI and Apache Spark.

Implements an MCP-compatible server that exposes 18+ specialized tools for querying Spark History Server data—including job/stage performance analysis, executor metrics, SQL query analysis, and resource utilization tracking. Operates via stdio or HTTP transport, allowing AI agents (LangChain, LlamaIndex, Claude Desktop) to intelligently select and combine tools for job analysis without reimplementing data access logic. Supports multiple Spark History Server instances through YAML configuration, enabling comparative analysis and failure investigation across environments.

About dremio-mcp

dremio/dremio-mcp

Dremio MCP server

Implements an MCP (Model Context Protocol) server that connects Claude Desktop with Dremio through stdio and streaming HTTP transports, enabling LLMs to query and analyze Dremio datasets. Supports both local (desktop) and Kubernetes deployments with OAuth authentication, automatic reconnection, and Prometheus metrics. Exposes Dremio's data catalog and query capabilities as tools that Claude can invoke directly.

Related comparisons

mcp-apache-spark-history-server and dbt-mcp mcp-apache-spark-history-server and dbt-core-mcp mcp-apache-spark-history-server and adls-mcp-server

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