"Apache Hive" matching MCP servers:

Enables lookups across Apache Iceberg Javadocs, local source evidence, and Iceberg REST Catalog operations through MCP tools and prompts.

Integrates Jira and Sourcegraph, enabling LLMs to retrieve and comment on Jira issues and perform code searches using Sourcegraph.

Open-source scanner that finds authorization logic embedded in application code. Precision-first static analysis with per-language rule packs, externalization percentage and per-finding confidence; generates OPA/Rego policy stubs. Apache 2.0, no telemetry.

Automatically generates and maintains living documentation for codebases by creating hierarchical hivemind.md files and flowchart diagrams at every directory level, enabling AI navigation and real-time or retroactive documentation of code structure, requirements, and dependencies.

An MCP server that optimizes Apache Spark code using Claude AI, providing intelligent code optimization suggestions and performance analysis.

Enables AI agents and MCP clients to compute real-time, in-memory unified diffs between versions of live artifacts along with structured change telemetry. It runs as a deterministic, zero-dependency Python MCP server that plugs into Claude Desktop, Cursor, or Windsurf for diff and change-tracking workflows.

This server provides a two-tier autonomous framework for reverse engineering binaries and applications, balancing fast, low-token triage with deep, high-fidelity emulation. It enables agents to perform advanced tasks like decompilation, control flow analysis, and formal security auditing.