speedrun-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@speedrun-mcpWhat's the current world record for Super Mario 64 16-star?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
speedrun-mcp
A Model Context Protocol server for speedrun.com. It lets an AI assistant query games, categories, leaderboards, world records, players and their personal bests — e.g. "What's the current Super Mario 64 16-star world record, and who holds it?"
Built on speedrun.com's official, public REST API. No account or API key required (the read endpoints are open); results are shaped into compact, model-friendly JSON (player ids resolved to names, durations formatted, subcategory variables labeled).
Tools
Tool | What it does |
| Fuzzy-search games by name → ids & abbreviations |
| A game's details plus its categories (and optionally levels) |
| A game's categories ( |
| Subcategory/filter variables and their value ids |
| Platform / region ids for the |
| A ranked leaderboard (top N; filter by variable / platform / region / timing) |
| The current #1 run for a game/category, plus any runs tied for first |
| Find players by username (partial, fuzzy match) |
| A player's PBs across all games |
| Details of a single run |
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.
Related MCP server: MCP Chess Server
Install & run
Requires Python 3.10+.
# from PyPI (once published)
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 # equivalentUse 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-mcpNotes & limits
Read-only. Submitting or moderating runs requires an authenticated speedrun.com session and is intentionally out of scope.
Rate limit: speedrun.com allows 100 requests/minute per IP and responds with HTTP 420 when exceeded; the client surfaces a clear error if you hit it.
Game and category arguments accept either an id (
o1y9wo6q) or an abbreviation (sm64). For precise subcategory leaderboards (e.g.16 Star), discover the variable/value ids withlist_variablesand passvariables={variable_id: value_id}.Errors are explanatory. Invalid ids/filters raise an error that includes speedrun.com's own message — e.g. passing a
levelto a full-game category returns "The selected category is for full-game runs, but a level was selected."
Output shape
Times reflect the leaderboard's sort timing. When you pass
timing(realtime/realtime_noloads/ingame), the reportedtime/time_secondsmatch that ranking, not the game's default timing.get_leaderboardreturnsreturned_runs(the number of runs returned, bounded bytopand ties — not the full board size) and arunslist with resolved player names, formatted times, and labeled subcategories.get_world_recordreturnsworld_record(the place-1 run, ornullif the board is empty) plustied(a list of any other runs sharing first place).get_user_personal_bestsreturnsreturned(how many came back, capped bylimit) andtotal_available(the player's true PB count), plus thepersonal_bestslist with game/category names and resolved players.
Development
pip install -e ".[dev]"
pytest -m "not network" # unit tests (offline)
pytest # include live-API tests
ruff check .License
MIT
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