"Apache Hive" matching MCP servers:

Code-mode MCP server (docs_search + execute_code two-tool surface) backed by a unified capability manifest across three sandbox kernels (in-process node:vm, WASM via QuickJS / Pyodide / Wasmtime, and remote microVM via E2B / Cloudflare Sandbox). At N=30 tools the bootstrap-context cost drops to 13.6% of direct tool-use. Apache-2.0.

Provides full-text search and retrieval tools for Apache Spark documentation using SQLite FTS5 with BM25 ranking. It enables AI assistants to efficiently search, filter by section, and read specific Spark documentation pages.

Local-first MCP server providing semantic search over library docs, fully offline. Single Go binary speaks MCP over stdio against a vector index pinned to the binary version. Like Context7 with the internet turned off. Apache 2.0. Linux + macOS, also available as a container image.

MCP server for answering questions about Apache Software Foundation policies, offering tools to list, retrieve, and search policy documents on releases, licensing, branding, security, infrastructure, and incubator topics.

Self-hosted Go MCP server that crawls documentation sites into local Markdown/JSONL corpora and lets agents read pages, run crawls, check freshness, and diff changes with zero network access at read time. Single static binary, no CGO, Apache-2.0.

Enables AI assistants to answer questions about Apache Iggy using the project's current guides and Rust API documentation, with search, retrieval, and documentation analysis tools.

Provides access to Rive's animation documentation, runtime guides, editor features, and tutorials via the Model Context Protocol.

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

Read-only MCP server for the Apache Incubator Confluence wiki, enabling page lookup, search, and navigation through natural language.

A local-only MCP server that provides AI coding agents with up-to-date documentation for specific libraries or tools during feature implementation, including search tools, multi-version support, and user-defined library entries.

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.

Extracts text and metadata from various file formats (PDF, DOCX, images with OCR) using Apache Tika, enabling AI assistants to understand file contents.

It enables AI engineers to retrieve real-time official documentation for 45+ libraries, search across frameworks, and extract code examples directly inside MCP-compatible assistants, eliminating stale training data and outdated API usage.

An MCP server that provides tools for interacting with the Document Authoring Admin API to manage content, versions, and configurations in DA repositories.

An MCP server that provides AI agents with access to over 20 knowledge sources including arXiv, GitHub, YouTube, Wikipedia, and more for reading and searching content.

Provides access to HISE documentation, including UI component properties, Scripting API methods, and module parameters. It features a searchable database of code snippets and best practices to assist in audio software development.

Enables LLM assistants to manage Document Authoring (DA) repositories through the DA Live Admin API, supporting operations like listing, creating, updating, and deleting source files, managing configurations, and looking up media and fragment references.