"markdown" matching MCP servers:

Enables AI clients to query live Minecraft recipe data and compute recipe trees, production plans, and searches from a running game or disk snapshots, with markdown, TSV, JSON, and HTML outputs.

Enables searching and retrieving Minecraft Wiki content in multiple formats (wikitext, HTML, markdown) through MCP tools, with batch retrieval and health monitoring.

Enables AI assistants to read web pages as clean Markdown, build link previews and Open Graph share images, and extract structured data from job postings and resumes (including scoring a resume against a job). It also computes win probabilities and player rankings with Elo, Glicko-2, or OpenSkill across 1v1, team, and free-for-all formats.

Enables comparing Minecraft modpack directories to identify added, removed, and changed mods, and generating Markdown or plain-text changelogs. It can also enrich changelogs with Modrinth version history and save generated output to files.

Lets AI assistants read and build LegendKeeper TTRPG worlds through the official v3 REST API, covering wiki pages as Markdown, infobox facts, map pins, timelines, tags, templates and images. Supports stdio and HTTP transports, multiple worlds from one server, and a read-only mode.

Enables Claude and other MCP clients to play Pokémon games on emulated Game Boy/GBA or real Switch hardware by exposing tools for button input, reading RAM-decoded game state, screenshots, save states, and persistent markdown notes.

Enables querying detailed information about characters, echoes, and character profiles from the Wuthering Waves game, returning results in LLM-optimized Markdown format.

Enables a local, read-only search over user-provided tabletop campaign source cards and module directories, routing queries to ranked hits across Markdown, JSON, and YAML text files while excluding core rulebook and SRD content by default. Returns file-and-line pointers with small context windows, plus explicit private-source opt-in, so a game master can locate and open the exact passage in their own library.

Provides read-only access to HoYoLAB and HoYoWiki APIs, enabling search and retrieval of posts, wiki entries, and article content converted to Markdown.

Enables AI assistants to search and access Arknights game data including operator information, enemy intelligence, skills, talents, and attributes through PRTS.wiki integration. Provides fuzzy search functionality for operators and enemies with clean Markdown output.

Provides AI assistants with tools to query and explore the Azgaarnoth D\&D world repository, including searching content, retrieving stat blocks, spells, and browsing categories like races, classes, nations, and creatures across ~4,200 markdown files.

Enables AI agents to play, test and QA Twine / interactive-fiction HTML games by reading passages as Markdown, clicking numbered choices, inspecting story variables, screenshotting, and saving or restoring state to explore branches. It provides a small, token-friendly semantic tool surface with format detection for SugarCube, Harlowe, Snowman and Chapbook games, plus live viewing, console error capture and journal tracking for clean playtesting.

Enables measuring an FPS game's feel by judging probe-written timelines against an 82-item checklist covering latency, sync, kick, shake, presence, rhythm and smoothness, and returning per-item values, verdicts, Markdown reports or gate rows. It works with any engine that can emit the timeline contract, without running the game itself.