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speedrun.com

by williamcodesversion 0.3.4i★ –iRuns on your computer
Registry nameio.github.williamcodes/speedrun-mcp

Install

Overview

Description from the maker (original English)

speedrun.com records, leaderboards (subcategories, ILs), players, PBs, moderation. No key needed.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

claude mcp add speedrun -- uvx speedrun-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "speedrun": {
      "command": "uvx",
      "args": [
        "speedrun-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "speedrun": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "speedrun-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account williamcodes, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32505 servers in this category
  • Published to the registry more recently than 45% of the other 32505 servers in this category
  • Basic checks equal to or better than 100% of the other 32505 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is speedrun.com safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.4) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv), MCPB on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, topo^alpin

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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topo^alpin

by topoalpin.app

Avalanche bulletins and mountain weather forecasts for any place in the Alps.

Runs in the cloudUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

⏱️ speedrun-mcp

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).

Example

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" } }

Tools

ToolWhat it does
search_gamesFuzzy-search games by name → ids & abbreviations
get_gameA game's details plus its categories (and optionally levels)
list_categoriesA game's categories (Any%, 120 Star, …) with rules
list_variablesSubcategory/filter variables and their value ids
list_platforms / list_regionsPlatform / region ids for the platform/region leaderboard filters
get_leaderboardA ranked leaderboard (top N; filter by variable / platform / region / timing)
get_world_recordThe current #1 run for a game/category, plus any runs tied for first
get_game_recordsEvery category's records for a game in one call (defaults to world records)
search_seriesFuzzy-search game series (e.g. Mario, Zelda)
get_seriesA series' details and the games it contains
search_usersFind players by username (partial, fuzzy match)
get_user_personal_bestsA player's PBs across all games
get_runDetails of a single run
list_runsRuns filtered by player / game / category / status / examiner
list_unverified_runsA game's runs awaiting verification (the moderation queue)
whoamiThe profile that owns your API key *(only shown when a key is set)*
list_notificationsYour 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.

Result scope and provenance

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.

Install & run

Requires Python 3.10+.

# from PyPI

pipx install speedrun-mcp # or: uv tool install speedrun-mcp

from source

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

Use with Claude Desktop / Claude Code

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

with authenticated features (optional):

claude mcp add speedrun \ -e SPEEDRUN_API_KEY=your-key-here \ -e SPEEDRUN_ENABLE_WRITES=1 \ -- speedrun-mcp

One-click install in Claude Desktop

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.

Authenticated features

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 varEffect
SPEEDRUN_API_KEYPuts 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=1Switches 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.

Getting your API key
  1. Log in to speedrun.com.
  2. Go to your account settings.
  3. In the left-hand nav, find the Developers section and click API Key.
  4. Copy the key shown there.

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.

Using your key

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

add -e SPEEDRUN_ENABLE_WRITES=1 as well if you want the write tools

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.

Local environment file

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

Supporting speedrun.com

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:

  • The first result of a server session, and every third result after that, carries a short 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 server's instructions ask the assistant to pass that along in a sentence. Whether it does is up to the assistant; in practice it mentions it on the first occurrence and sometimes on later ones.

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.

Notes & limits

  • Reads need no key; writes are opt-in. Leaderboards, games, players and the moderation queue are open reads. Run submissio

Only the beginning is shown; read the rest in the repo

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