"Running queries in Apache Superset" matching MCP servers:

Exposes a small catalog of programming study topics through the Model Context Protocol (MCP) for local learning.

Enables interaction with Zhejiang University's learning platform (学在浙大 / 智云课堂) via MCP tools, allowing natural language commands to check todos, view schedules, fetch lecture transcripts, and submit homework.

Enables AI assistants to search and access Google Cloud Platform documentation in real-time, supporting 20+ GCP services with natural language queries and smart content extraction.

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.

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.

Enables coding assistants to access Perplexity AI for quick fact-checking and in-depth research. Provides two tools: lookup for fast documentation queries and answer for comprehensive research with recommendations.

An MCP server for Paradox Clausewitz/Jomini modding (EU5, EU4, Victoria 3, HOI4, CK3, Stellaris) that grounds AI assistants in the game's generated documentation and vanilla script tree, enabling accurate script lookup, parsing, and validation without running the game.

Enables AI assistants to develop Desynced mods by providing direct access to the game's Lua API reference, base-game source, live logs, and installed mods, plus live control via a debugger link for evaluating and reloading Lua in the running game.

Scrapes documentation sites, chunks and embeds content locally, then retrieves relevant passages for queries. Enables agents to ask questions grounded in documentation.

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

Enables AI agents to interact with the Roark API by writing and executing TypeScript SDK code in an isolated sandbox, with built-in documentation search to guide those tasks.

MCP server for retrieving Fict documentation, running compiler/ESLint/TypeScript diagnostics, and generating shareable Playground links.

Lightweight MCP server for Redis that allows running any Redis command and searching Redis documentation. Supports multiple named databases with HTTP/REST or TCP transport.

MCP server for design decisions during a build, providing live UI/animation library docs (via llms.txt) and a curated knowledge base of UX laws and UI conventions. It enables agents to look up real component APIs and apply design best practices, running locally via stdio or hosted on Vercel.

Enables search and lookup of SolidWorks API documentation, including methods, interfaces, enums, and examples, via natural language queries.

Provides Japanese-optimized reference, design consultation, and learning support for Max/MSP and Max4Live through natural language queries.

A Node.js server that enables LLMs to inspect GraphQL schemas and retrieve information about queries, mutations, and types via MCP.