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Batru — Competitive Game Intelligence for AI Agents

by batruggversion 0.7.0i★ –iComputer or cloud
Registry namegg.batru/batru-mcp

Install

Overview

Description from the maker (original English)

Live competitive-game predictions, meta data and decision tools for AI agents.

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: Computer or cloud
  • Transport: stdio, Streamable HTTP
  • Category: Games, sports, food & learning

Install

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

Before you install

You need

  • Runs in the cloudNothing to install; it connects over the internet
  • 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 …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://batru.gg/mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "batru": {
      "command": "uvx",
      "args": [
        "batru-mcp"
      ],
      "env": {
        "BATRU_API_BASE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http batru https://batru.gg/mcp

Or run it on your computer

claude mcp add batru --env BATRU_API_BASE=your-value -- uvx batru-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "batru": {
      "url": "https://batru.gg/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "batru": {
      "command": "uvx",
      "args": [
        "batru-mcp"
      ],
      "env": {
        "BATRU_API_BASE": "your-value"
      }
    }
  }
}

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": {
    "batru": {
      "type": "http",
      "url": "https://batru.gg/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "batru": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "batru-mcp"
      ],
      "env": {
        "BATRU_API_BASE": "your-value"
      }
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://batru.gg/mcp

Menu names can differ slightly by plan and over time.

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

Values you fill in

  • BATRU_API_BASE env
    Base URL of the batru.gg API. Defaults to https://batru.gg; override only for local testing.

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

What it can do

Tool names and descriptions exactly as the server reported them on Nov 9, 2026. The maker wrote them, not us; we show them as plain text.

  • lookup_hero

    Normalise a hero name/alias/shortName to its canonical identity — or list the whole roster. Use this to turn messy user input ("am", "anti mage", "Anti-Mage") into the exact key batru.gg expects before calling the prediction tools. The backend SILENTLY DROPS hero names it doesn't

  • get_model_track_record

    Get batru.gg's public model evaluation ledger — every weekly test, wins AND losses. batru.gg publishes EVERY champion-vs-challenger evaluation of its Dota 2 model (promoted or rejected), auto-generated from the promotion gate's append-only log — nothing is hand-picked. Use this w

  • analyze_draft

    Analyze a draft and render an interactive Batru win-rate board. Use this for visual draft, matchup, win-probability, or next-pick questions in Dota 2, Deadlock, Marvel Rivals, or League of Legends. It combines the existing prediction and recommendation tools into one stable struc

  • predict_winrate

    Which team wins this draft — CALIBRATED win probability for Dota 2, Deadlock, Marvel Rivals or League of Legends. Backed by batru.gg's per-game production models (built on 140M+ real matches and calibrated: a reported 60% reflects a real ~60% empirical win rate — not a guess). He

  • predict_winrate_batch

    Score MANY candidate next-picks for a Dota 2 draft in ONE call — calibrated win rate + delta each. Use this instead of looping predict_winrate over candidates: the whole batch runs as a single model invoke server-side. For each candidate you get the CALIBRATED team win rate after

  • recommend_pick

    Best heroes to pick next against this draft — Dota 2, Deadlock, Marvel Rivals or League of Legends. Per-game semantics: - dota2: top 3 picks scored by the CALIBRATED draft model (each with the calibrated team win rate after adding that hero); `my_side` applies. - deadlock / marve

  • get_tier_list

    Best heroes right now — the current-patch tier list for Dota 2, Deadlock, Marvel Rivals or League of Legends. Empirical rankings from batru.gg's match aggregation over real games (not a guess); heroes come sorted best-first. Optionally filter to a skill bracket with `rank`. Args:

  • get_counters

    Who counters a hero (and who it beats) — measured matchup win rates for Dota 2, Deadlock, Marvel Rivals or League of Legends. Opponents this hero performs BEST and WORST against, by real observed win rate with sample sizes — empirical meta data, not a guess. The hero name is norm

  • get_synergy

    Best teammates / duo partners for a hero — measured together-win-rates for Dota 2, Deadlock, Marvel Rivals or League of Legends. Allies this hero wins MOST and LEAST with, by real observed win rate when picked together (with sample sizes). Covers Marvel Rivals team-ups too. The h

  • get_matchup

    One hero vs one opponent — the measured head-to-head win rate in Dota 2, Deadlock, Marvel Rivals or League of Legends. The direct matchup number ("does X beat Y?") from real games, with the sample size. Names are normalised internally. Args: game: "dota2", "deadlock", "marvel-riv

  • get_hero_momentum

    Which heroes are rising or falling right now — week-over-week win-rate movement. Momentum from batru.gg's rolling match aggregation for Dota 2, Deadlock or Marvel Rivals: the biggest movers of the current window, or one hero's trend when `hero` is given. Args: game: "dota2", "dea

  • get_ban_rates

    Most-banned heroes — measured draft-phase ban rates for Deadlock or Marvel Rivals. Args: game: "deadlock" or "marvel-rivals" (ranked Dota has no ban-phase export — for pro Dota bans use get_tournament_stats). limit: Max heroes to return (default 15). Report numbers verbatim. When

  • get_tournament_stats

    TI / EWC pro tournament stats — actual most-picked, most-banned and win rates per hero. Real recorded results from the official drafts of every game at a covered pro Dota 2 event (The International, Esports World Cup, ...) — small-sample records, not calibrated probabilities. Ans

  • get_tournament_game_stats

    Per-game BOX SCORES from parsed replays of a pro Dota 2 tournament. For each game: lane winners at 10 minutes, every player's hero, lane, K/D/A, GPM, net worth and key item timings, first blood, Roshans, and comeback flags. Filter by team, stage, or a single match_id. Args: event

  • search

    Search batru.gg's live competitive datasets for Dota 2, Deadlock, Marvel Rivals and League of Legends. Finds the right document for a question about hero counters, hero synergies /duos, current-patch tier lists, ban rates, pro tournament results (TI, Esports World Cup) or the pre

  • fetch

    Fetch the full live document behind a `search` result id. Ids look like `dota2:counters:axe`, `deadlock:tier-list`, `marvel-rivals:synergy:mantis`, `lol:counters:aatrox`, `deadlock:ban-rates`, `dota2:tournament:ti-2026` or `model:track-record`. Returns {id, title, text, url} wher

  • get_more_tools

    Check for additional tools whenever your task might benefit from specialized capabilities - even if existing tools could work as a fallback.

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 9, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain batru.gg (the registry checks domain ownership)

  • … 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

  • ✓ Pass

    Endpoint responds

    Responded in 745 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 17 tool descriptions and found no hidden instructions to the AI

Compared with others in Games, sports, food & learningi

  • More stars than 0% of the other 1319 servers in this category
  • Published to the registry more recently than 30% of the other 1319 servers in this category
  • Basic checks equal to or better than 100% of the other 1319 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 Batru — Competitive Game Intelligence for AI Agents safe?

It passed 3 of 3 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?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.7.0) 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. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: ReversePort, Liro, PersonCraft

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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.

batru-mcp

[!IMPORTANT]

Use the hosted endpoint — no install needed. Add https://batru.gg/mcp to Claude, ChatGPT, Cursor or any MCP client and you get the newest tool set (31 read-only tools across Dota 2, Deadlock and Marvel Rivals, always in sync with the live site). Setup guide: https://batru.gg/developers

The local PyPI package described below (uvx batru-mcp) is legacy and no longer updated — it is frozen at an early version with a reduced tool set. It still works (it proxies the same live API), but the hosted endpoint is the canonical distribution.

A minimal, read-only MCP server over batru.gg's live API, so your LLM can answer Dota 2 / Deadlock draft, counter and win-rate questions with real, calibrated model predictions instead of guessing from memory.

It is a thin wrapper around batru.gg's public endpoints — no model runs locally; every number comes from the same production model the website serves.

Why calibrated matters

batru.gg's model is trained on ~20M real matches and calibrated: a reported 60% win rate corresponds to an empirically observed ~60% win rate. We deliberately do not headline a raw "accuracy" number — accuracy alone is misleading for win prediction. What you get from these tools are probabilities you can trust at face value. The tool descriptions instruct the host LLM to report these numbers verbatim and never invent matchup data.

Tools

ToolWhat it does
lookup_hero(query, game="dota2")Normalise a name/alias/shortName to {id, displayName, shortName}. game ∈ {dota2, deadlock}.
predict_dota_winrate(my_heroes, enemy_heroes, my_side="radiant")Calibrated win-rate % for both teams (partial drafts OK; empty → 50/50).
recommend_dota_pick(my_heroes, enemy_heroes, my_side="radiant")Top-3 heroes to pick next, each with its calibrated win rate.
get_dota_counters(hero, limit=12)Real matchup table: who this hero beats / loses to, with win rate % and sample size.
predict_deadlock_draft(team0_heroes, team1_heroes)Calibrated win-rate % for a Deadlock 6v6 (6 heroes per team).

Hero names are accepted in any form (e.g. am, anti mage, Anti-Mage) and normalised internally — the backend silently drops names it doesn't recognise, so normalising first keeps predictions honest.

Install

Requires uv (or any way to run a Python 3.12+ package from PyPI):

uvx batru-mcp           # fetches from PyPI and starts the stdio MCP server

Configuration is via the BATRU_API_BASE environment variable (default https://batru.gg) — you normally don't need to set anything.

Claude Desktop config

Add to claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json):

{

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

Restart Claude Desktop; the batru tools appear in the tool picker. Claude Code: claude mcp add batru -- uvx batru-mcp.

Development

git clone https://github.com/batrugg/batru-mcp && cd batru-mcp

uv sync uv run batru-mcp # run the server from the checkout (blocks, waiting on stdin)

For a Claude Desktop pointing at the checkout, use "command": "uv", "args": ["run", "--directory", "/absolute/path/to/batru-mcp", "batru-mcp"].

Tests

uv run pytest            # offline: hero normalisation + draft assembly

uv run pytest -m live # also hits the real batru.gg API


Prefer programmatic access from Python instead of MCP? pip install batru — the official batru SDK.

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