Is the Batru — Dota 2 & Deadlock win predictor MCP server free to use?

Yes. Batru — Dota 2 & Deadlock win predictor is listed on AllMCPs as a free, open Model Context Protocol server you can install into Claude Desktop, Cursor, or any MCP-compatible client.

Is the Batru — Dota 2 & Deadlock win predictor MCP server free to use?

Yes. Batru — Dota 2 & Deadlock win predictor is listed on AllMCPs as a free, open Model Context Protocol server you can install into Claude Desktop, Cursor, or any MCP-compatible client.

Batru — Dota 2 & Deadlock win predictor

Real, calibrated Dota 2 / Deadlock win-rate predictions and pick recommendations from batru.gg.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Install Config Generator

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claude_desktop_config.json

{
  "mcpServers": {
    "batru-dota-2-deadlock-win-predictor": {
      "command": "npx",
      "args": [
        "-y",
        "batru-dota-2-deadlock-win-predictor"
      ]
    }
  }
}

💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Documentation Overview

batru-mcp

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

Tool	What 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):

bash

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):

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

bash

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

bash

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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Frequently Asked Questions about Batru — Dota 2 & Deadlock win predictor

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "batru-dota-2-deadlock-win-predictor": { "command": "npx", "args": ["-y", "Batru — Dota 2 & Deadlock win predictor"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Batru — Dota 2 & Deadlock win predictor →Install in Claude Desktop Install in Cursor Install in VS Code

Documentation Overview

batru-mcp

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

Tools

Tool	What 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).

Install

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

bash

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):

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

bash

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

bash

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.

Frequently Asked Questions about Batru — Dota 2 & Deadlock win predictor