"How to Write Django Unit Tests" matching MCP servers:

Exposes Django REST Framework API documentation via MCP for AI coding agents to read, understand, and write frontend integration code.

Provides AI assistants easy access to Django best practices by splitting comprehensive styleguide documentation into AI-friendly sections accessible through the Model Context Protocol.

Provides unit conversion tools (celsius/fahrenheit, kilometers/miles) via MCP, along with resources and prompts for conversion explanations and API usage.

Enables local conversion of PDFs to Markdown, with automatic OCR fallback for scanned pages, image extraction, and page-by-page structure preservation.

A Model Context Protocol server for querying and reading articles from a how-to documentation portal, with search and retrieval tools scoped to the token's user permissions.

Teaches AI coding agents how to reason correctly about MetaMask Embedded Wallets / Web3Auth architecture, SDK choice, key derivation, auth flows, and common integration pitfalls.

Provides AI coding agents with version-aware StencilJS API references, decorator signatures, lifecycle hooks, and best practices to help them write idiomatic Stencil code.

Look up how engineers actually pronounce project / product / jargon names (kubectl, nginx, JSON, Pydantic, JWT) — 1452+ entries with IPA, respelling, source citation, and confidence level.

MCP server for exploring 4.2 BSD historical UNIX documentation, source code, and system calls. It provides tools to search and read prose manuals, man pages, source files, and the syscall table.

Enables converting a public release-note URL into ordered upgrade tasks with source excerpts, anchors, confidence, and uncertainty, without executing release text or project code.

MCP server for writing World of Warcraft addons, providing in-game Lua API references, Blizzard's UI source code, and game asset data to AI assistants.

Enables AI assistants to access the complete documentation of the jangada library, ensuring they write code using the correct and current API without guessing function names or parameters.

Warhammer Oracle is an MCP server that gives AI assistants accurate Warhammer 40K, Combat Patrol, and Kill Team rules, unit stats, and game flow - so they stop hallucinating rules mid-game. It contains 6 tools (lookup, search, compare units, keywords, phases) covering 2,642 40K units and 506 Kill Team operatives across 48 factions.

Enables AI assistants to scaffold VTEX IO apps and Node/GraphQL services, look up Store Framework block props and VTEX APIs, and search documentation and courses.

A codebase ontology and a cited wiki, both kept as Markdown in one folder on your disk. Typed graph answers — what a change affects, how two concepts connect, which wiki lines lack a citation — and every write lands as a Git diff a person reviews.

Enables MCP-compatible AI clients to query, search, create, and update YApi API definitions and categories using natural language, with write operations excluding deletion for safety.

Provides Large Language Models with real-time access to the latest documentation for Python libraries like Langchain, LlamaIndex, and OpenAI, enabling accurate and up-to-date code suggestions.

Generates AI context files (CLAUDE.md, AGENTS.md, Cursor/Windsurf/Cline/Continue/Kilo Code/Trae rules, GEMINI.md, Copilot, Aider, Junie, Warp) for any repository. Runs as CLI or MCP server, 100% local.

A version-aware MCP server that provides the World of Warcraft retail AddOn API with pinned documentation snapshots, enabling lookups, searches, comparisons, and diffs of APIs across patches.

Teach any AI agent how you use an MCP server – Soft-Landing to your AI integrations