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OpenDota MCP Server for Pydantic AI 18 tools — connect in under 2 minutes

Built by Vinkius GDPR 18 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect OpenDota through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to OpenDota "
            "(18 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in OpenDota?"
    )
    print(result.data)

asyncio.run(main())
OpenDota
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About OpenDota MCP Server

Connect to OpenDota and explore the world's most comprehensive Dota 2 match database through natural conversation.

Pydantic AI validates every OpenDota tool response against typed schemas, catching data inconsistencies at build time. Connect 18 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

  • Player Profiles — Get player stats, rank tier, MMR estimate, winrate and most played heroes
  • Match History — Browse a player's full match history with hero, result, KDA and duration
  • Match Details — Get complete match info including all 10 players, items, builds, damage and objectives
  • Heroes — List all 124 Dota 2 heroes with their roles, attributes and performance benchmarks
  • Teams — Discover professional teams with their ratings, rosters and win/loss records
  • Leagues — Browse all pro leagues and tournaments with tiers and dates
  • Records — See all-time records for kills, GPM, XPM, hero damage and more
  • MMR Distribution — View rank tier distribution across the entire Dota 2 player base
  • Search — Find players, teams and leagues by name

The OpenDota MCP Server exposes 18 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect OpenDota to Pydantic AI via MCP

Follow these steps to integrate the OpenDota MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 18 tools from OpenDota with type-safe schemas

Why Use Pydantic AI with the OpenDota MCP Server

Pydantic AI provides unique advantages when paired with OpenDota through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your OpenDota integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your OpenDota connection logic from agent behavior for testable, maintainable code

OpenDota + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the OpenDota MCP Server delivers measurable value.

01

Type-safe data pipelines: query OpenDota with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple OpenDota tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query OpenDota and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock OpenDota responses and write comprehensive agent tests

OpenDota MCP Tools for Pydantic AI (18)

These 18 tools become available when you connect OpenDota to Pydantic AI via MCP:

01

get_benchmarks

Compare any player's stats against the broader player base. Requires a hero ID (from list_heroes). Get hero performance benchmarks

02

get_constants

Optionally specify a resource name (e.g. "game_mode", "lobby_type", "lane_role", "patch", "cluster") to get a specific constant set. Get OpenDota constant data

03

get_distributions

Shows how many players are in each bracket (Herald, Guardian, Crusader, Archon, Legend, Ancient, Divine, Immortal). Useful for understanding where a player stands in the overall population. Get MMR and rank distributions

04

get_match

Returns the match duration, game mode, lobby type, league, radiant/dire team compositions, all 10 players' heroes, items, KDA, GPM, XPM, hero damage, tower damage and healing. Also includes draft picks, chat logs and team objectives for professional matches. Get detailed match info

05

get_player

Returns the player's profile picture, rank tier, MMR estimate, total matches, winrate and country. Account IDs are numeric Steam IDs (e.g. 87276347 for Arteezy, 19672354 for SumaiL). Use search to find a player by name first. Get player profile and stats

06

get_player_heroes

Useful for analyzing a player's hero pool and identifying their best heroes. Get a player's performance stats by hero

07

get_player_matches

Each match includes the match ID, hero played, result (win/loss), kills, deaths, assists, duration, game mode, lobby type, league and start time. Sorted by most recent first. Returns thousands of matches for active players. Get a player's match history

08

get_player_recent_matches

Each match includes the match ID, hero played, result, KDA, duration and game mode. Useful for checking a player's current form and recent hero pool. Get a player's recent matches (last 20)

09

get_player_records

Shows the match ID, hero and value for each record. Get a player's personal records

10

get_player_wl

Shows wins and losses for each hero, revealing their strongest and weakest picks. Useful for understanding a player's hero preferences and strengths. Get a player's win/loss record by hero

11

get_records

Supported fields: "kills", "deaths", "assists", "last_hits", "denies", "gold_per_min", "xp_per_min", "hero_damage", "tower_damage", "hero_healing", "level", "duration", "longest_word". Returns the top record holders with match IDs and hero info. Get all-time game records

12

get_team

Returns the team name, tag, logo, rating, win/loss record, player roster, matches played and recent results. Get detailed info for a professional team

13

list_heroes

Returns approximately 124 heroes. Useful for discovering hero IDs to use with other tools. Get the list of all Dota 2 heroes

14

list_leagues

Each league includes its ID, name, tier (premium, professional, amateur), region, start/end dates and logo URL. Useful for discovering tournaments and filtering matches by league. Get the list of professional leagues

15

list_recent_matches

Each match includes the match ID, start time, duration, radiant/dire team average MMR and winner. Returns up to 500 matches. Useful for browsing recent games and finding match IDs to explore. Get recent public matches

16

list_teams

Each team includes its ID, name, tag, logo URL, rating, number of wins/losses and last match time. Sorted by team rating. Useful for discovering pro teams and their IDs. Get the list of professional teams

17

run_explorer_query

Requires a valid SQL query string. Returns query results as an array. Advanced feature for deep data analysis. Example: "SELECT hero_id, count(*) matches FROM player_matches GROUP BY hero_id ORDER BY matches DESC LIMIT 10" Run a custom SQL query via OpenDota Explorer

18

search

Returns matching results with their types and IDs. Useful for finding a player's account ID or a team's ID when you only know their name. Search for players, teams, leagues and heroes

Example Prompts for OpenDota in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with OpenDota immediately.

01

"Search for the player 'Arteezy'."

02

"Show me all Dota 2 heroes."

03

"What are the all-time records for most kills in a single match?"

Troubleshooting OpenDota MCP Server with Pydantic AI

Common issues when connecting OpenDota to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

OpenDota + Pydantic AI FAQ

Common questions about integrating OpenDota MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your OpenDota MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect OpenDota to Pydantic AI

Get your token, paste the configuration, and start using 18 tools in under 2 minutes. No API key management needed.