Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
speedrun.com records, leaderboards (subcategories, ILs), players, PBs, moderation. No key needed.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
링크는 제작자의 파일로 바로 연결돼요. 우리가 보관하거나 다시 패키징하지 않아요. 파일을 열면 Claude Desktop이 설치해요.
터미널에서 이 명령어를 실행하세요
claude mcp add speedrun -- uvx speedrun-mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"speedrun": {
"command": "uvx",
"args": [
"speedrun-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"speedrun": {
"type": "stdio",
"command": "uvx",
"args": [
"speedrun-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 williamcodes 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.3.4)은 2개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv), MCPB도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Apify MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
A Model Context Protocol server for speedrun.com — let an AI assistant query games, categories, leaderboards, world records, players and their personal bests, and (with an API key) submit and moderate runs.
*"What's the current Super Mario 64 16-star world record, and who holds it?"*
Built on speedrun.com's official REST API. The read tools need no account or API key — add a key (see Authenticated features) to unlock identity reads and, optionally, run submission and moderation. speedrun.com is ad-funded and API reads skip the ads, so unless you are a Supporter the server asks the assistant to mention the Supporter program now and then. Results come back as compact, model-friendly JSON (player ids resolved to names, durations formatted, subcategory variables labeled).
Ask *"the SM64 16-star world record?"* and the model calls get_world_record, which returns resolved JSON. An excerpt:
{
"game_name": "Super Mario 64", "category_name": "16 Star", "world_record": { "players": ["Suigi"], "time": "14m 35.5s", "date": "2023-03-22", "video": "https://youtu.be/1_vkwkniHuI" } }
| Tool | What it does |
|---|---|
search_games | Fuzzy-search games by name → ids & abbreviations |
get_game | A game's details plus its categories (and optionally levels) |
list_categories | A game's categories (Any%, 120 Star, …) with rules |
list_variables | Subcategory/filter variables and their value ids |
list_platforms / list_regions | Platform / region ids for the platform/region leaderboard filters |
get_leaderboard | A ranked leaderboard (top N; filter by variable / platform / region / timing) |
get_world_record | The current #1 run for a game/category, plus any runs tied for first |
get_game_records | Every category's records for a game in one call (defaults to world records) |
search_series | Fuzzy-search game series (e.g. Mario, Zelda) |
get_series | A series' details and the games it contains |
search_users | Find players by username (partial, fuzzy match) |
get_user_personal_bests | A player's PBs across all games |
get_run | Details of a single run |
list_runs | Runs filtered by player / game / category / status / examiner |
list_unverified_runs | A game's runs awaiting verification (the moderation queue) |
whoami | The profile that owns your API key *(only shown when a key is set)* |
list_notifications | Your speedrun.com notifications *(only shown when a key is set)* |
A typical flow: search_games → list_categories (and list_variables for subcategories) → get_leaderboard / get_world_record. Use list_platforms / list_regions when you need an id for the platform / region filters.
With write tools enabled (see below), submit_run, verify_run, reject_run, set_run_players and delete_run are also available.
Search tools, list_runs, list_unverified_runs, and list_notifications return an object with results, returned, offset, limit, has_more, and next_offset. This replaces their earlier bare-list output. Pass next_offset as offset to continue with the same filters. has_more: null means the API omitted pagination metadata, so completeness is unknown. get_series.games uses the same envelope; continue with game_offset. pagination_note explains the continuation evidence: an API next-page link can lead to an empty page and does not establish a total result count.
get_game_records follows all pages. Notifications scan up to scan_limit source records and report scanned; an empty unread result is not evidence of no unread notifications when has_more is true or unknown.
Run rows preserve account/guest identity in player_details, all video links in videos, and separate source commentary in video_text. Personal-best rows include game/category IDs, level, and raw variable choices. Variable details and subcategory maps are keyed by variable ID to avoid collisions between names.
Leaderboard applied_filters includes the API's system filters and resolved variables; requested_filters separately records the call's filters, including historical dates. A missing requested timing is marked unavailable rather than replaced by the primary time. Each displayed time identifies its source field. returned_runs and omitted_from_response count rows from the fetched response, not the full leaderboard.
Write errors that leave completion uncertain explicitly warn against automatic retries. A success response that cannot be parsed preserves its HTTP status and resource location when supplied.
Requires Python 3.10+.
# from PyPI
pipx install speedrun-mcp # or: uv tool install speedrun-mcp
git clone https://github.com/williamcodes/speedrun-mcp cd speedrun-mcp pip install -e .
The server speaks MCP over stdio:
speedrun-mcp # console script
python -m speedrun_mcp # equivalent
Add to your MCP client config (e.g. claude_desktop_config.json):
{
"mcpServers": { "speedrun": { "command": "speedrun-mcp" } } }
If you installed from source into a virtualenv, point command at that interpreter, e.g. "command": "/path/to/.venv/bin/speedrun-mcp".
For Claude Code:
claude mcp add speedrun -- speedrun-mcp
claude mcp add speedrun \ -e SPEEDRUN_API_KEY=your-key-here \ -e SPEEDRUN_ENABLE_WRITES=1 \ -- speedrun-mcp
Each GitHub release ships a speedrun-mcp- .mcpb bundle. Download it and open it with Claude Desktop (double-click, or Settings → Extensions → Install from file). Claude Desktop installs Python and the dependencies itself; nothing else is needed. The extension settings expose the optional API key and the writes toggle described below.
An API key is entirely optional. With no key, the server exposes only the public read tools (leaderboards, games, players, the moderation queue) and works exactly as described above — no account required. Adding your key unlocks more:
| Set this env var | Effect |
|---|---|
SPEEDRUN_API_KEY | Puts the server in read-only authenticated mode. Adds the identity reads — whoami (the profile your key belongs to) and list_notifications. The write tools (submit_run, verify_run, reject_run, set_run_players, delete_run) also become *visible*, but stay disabled — calling one returns a message telling you to enable writes. Until a key is set, none of these are advertised at all. |
SPEEDRUN_ENABLE_WRITES=1 | Switches to read-write mode: arms the write tools so they actually submit/moderate. Requires SPEEDRUN_API_KEY (moderation also needs a moderator key). Off by default — submitting and rejecting/deleting are real, permanent actions on real leaderboards, so opt in deliberately. |
Read-only is the default. Just adding a key never changes anything on speedrun.com — you get identity reads, and everything keeps working perfectly. If a write tool is invoked while writes are off, it doesn't silently fail; it returns:
*This server is in read-only mode, so this write action is disabled. To allow
run submission and moderation, set the environment variable
SPEEDRUN_ENABLE_WRITES=1 (alongside SPEEDRUN_API_KEY) and restart the server.*
So the way to switch to read-write mode is always discoverable from the error itself.
Treat the key like a password — anyone who has it can act as you on speedrun.com. If it ever leaks, regenerate it from that same page.
Add the key to your MCP client config under env. It is read only from the environment — never passed as a tool argument — so it can't leak into the model's context or transcripts. Add SPEEDRUN_ENABLE_WRITES=1 only when you want writes to actually run; with the key alone you stay safely read-only.
{
"mcpServers": { "speedrun": { "command": "speedrun-mcp", "env": { "SPEEDRUN_API_KEY": "your-key-here", "SPEEDRUN_ENABLE_WRITES": "1" } } } }
Or with Claude Code:
claude mcp add speedrun -e SPEEDRUN_API_KEY=your-key-here -- speedrun-mcp
Keep the key out of version control — put it in your client config or a local, git-ignored .env, never in a committed file. All tools carry MCP read-only / destructive hints so clients can flag the write and moderation actions.
Copy .env.example to .env and fill in the settings you need. The template leaves the API key empty and disables writes. Git ignores .env.
The server reads exported environment variables and does not load .env automatically. To load your local file and start the server from a shell:
set -a
. ./.env set +a speedrun-mcp
speedrun.com is run for the community and paid for by the ads on its pages. The public API has no ads, so every answer this server gives is a page view the site never gets paid for. This project exists because the leaderboards, the moderation, and the records themselves come from that community, and it should not quietly cost them money to make the data easier to reach.
So the server does one thing about it. When it cannot tell that you already support the site, it asks the assistant to say so:
supporter_notice. It explains that API reads skip the ads and points to the Supporter program, which funds the site and gives you ad-free browsing and other perks.The notice appears only when there is no API key, or when the key's account is not a Supporter. Supporters who add their key never see it, because they are already paying for the site they are reading. whoami reports the detected status as supporter. If the lookup itself fails (it uses the site's undocumented v2 API), the server assumes nothing and stays quiet rather than nag someone who may already be paying.
Nothing is gated. Every read tool works without a key, as it always has. The point is to make sure that people who get value from speedrun.com through this server know how to give something back.
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요