A
licenseB
qualityC
maintenanceModel Context Protocol server that enables LLMs and AI assistants to retrieve real-time Dota 2 statistics, match data, player information, and game metrics through a standardized interface.
Last updated
17
8
MIT
MCP Dota 2 Match Analysis Server
Provides tools for analyzing Dota 2 matches using replay files and the OpenDota API, including death analysis, combat logs, objectives, timelines, and draft analysis.
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., "@MCP Dota 2 Match Analysis Serveranalyze match 1234567890"
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.
MCP Dota 2 Match Analysis Server
FastMCP server for Dota 2 match analysis using replay files and OpenDota API.
Built-in coaching instructions guide LLMs to provide meaningful analysis - pattern recognition, objective rotations, networth swings linked to teamfights, and actionable coaching advice.
Quick Start
Local
git clone https://github.com/DeepBlueCoding/mcp-replay-dota2.git
cd mcp-replay-dota2
uv sync
uv run python dota_match_mcp_server.pyDocker
docker build -t dota2-mcp-server .
docker run -p 8081:8081 dota2-mcp-server --transport sse
# Connect to http://localhost:8081/sseRelated MCP server: Scalene-MCP
What It Does
Resources: Static reference data (heroes, map, pro players/teams)
Tools: Match analysis (deaths, combat log, objectives, timelines, drafts)
Instructions: Built-in coaching guidance for meaningful LLM responses
See full documentation for API reference and integration guides.
Development
uv run pytest # Run tests
uv run pytest -m "not integration" # Skip slow testsLicense
MIT
Maintenance
–Maintainers
–Response time
0dRelease cycle
8Releases (12mo)
Commit activity
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- FlicenseAqualityCmaintenanceA FastMCP server that provides LLMs with structured access to Scalene's CPU, GPU, and memory profiling for Python applications. It enables automated performance analysis, bottleneck identification, and optimization suggestions through natural language interactions in supported IDEs.Last updated71
- AlicenseAqualityDmaintenanceMCP server for log file analysis. Gives LLMs the ability to efficiently analyze large log files without loading them into context.Last updated795MIT
- AlicenseBqualityAmaintenanceMCP server exposing 30 tools for League of Legends player analysis, match review, and training-plan generation.Last updated3520MIT
Related MCP Connectors
MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.
MCP server for AI dialogue using various LLM models via AceDataCloud
STRATZ Dota 2 MCP.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/DeepBlueCoding/mcp-replay-dota2'
If you have feedback or need assistance with the MCP directory API, please join our Discord server