OPGG

OP.GG is the world's leading League of Legends statistics and performance tracking platform. Founded in Seoul, South Korea and launched in 2013, it grew from a LoL stats search engine into a global gaming platform serving tens of millions of monthly active users across games including League of Legends, Valorant, Teamfight Tactics, Overwatch 2, and PUBG. OP.GG surfaces summoner ranks, win rates, champion mastery, builds, tier lists, match history, and live meta trends. Its programmatic surface centers on an official, hosted Model Context Protocol (MCP) server that gives AI agents access to LoL, TFT, and Valorant game data, plus first-party AI-readable ai.json summoner/match snapshot endpoints advertised in its published llms.txt. OP.GG is backed by 500 Global, SBVA, DS Asset Management, Dunamu & Partners, and others.

OPGG publishes 1 API on the APIs.io network. Tagged areas include Company, Gaming, Esports, Game Data, and Analytics.

OPGG’s developer surface includes documentation, engineering blog, support, and 10 more developer resources.

🌐 Visit website 📡 Source on GitHub
18.9/100 emerging ▬ flat Agent 15/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5
1 APIs 1 MCP Servers
CompanyGamingEsportsGame DataAnalyticsLeague of LegendsValorantStatisticsMCP

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 18.9/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 4.8 / 20
Commercial Clarity 4.2 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 15/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/opgg: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

OP.GG MCP Server

Official Model Context Protocol server providing AI agents access to OP.GG game data for League of Legends, Teamfight Tactics, and Valorant over Streamable HTTP.

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

opgg-mcp.yml

MCP SERVER

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Opgg Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer
MCPServer
 LLMsTxt
LLMsTxt
 WellKnown
WellKnown

Build 2

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization
 Packages
Packages

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support
Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 3

The organization behind the API

Website
Website
 About
About
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: opgg
name: OPGG
description: OP.GG is the world's leading League of Legends statistics and performance tracking platform. Founded in Seoul,
  South Korea and launched in 2013, it grew from a LoL stats search engine into a global gaming platform serving tens of millions
  of monthly active users across games including League of Legends, Valorant, Teamfight Tactics, Overwatch 2, and PUBG. OP.GG
  surfaces summoner ranks, win rates, champion mastery, builds, tier lists, match history, and live meta trends. Its programmatic
  surface centers on an official, hosted Model Context Protocol (MCP) server that gives AI agents access to LoL, TFT, and
  Valorant game data, plus first-party AI-readable ai.json summoner/match snapshot endpoints advertised in its published llms.txt.
  OP.GG is backed by 500 Global, SBVA, DS Asset Management, Dunamu & Partners, and others.
url: https://raw.githubusercontent.com/api-evangelist/opgg/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
image: https://op.gg/images/logo/logo.svg
tags:
- Company
- Gaming
- Esports
- Game Data
- Analytics
- League of Legends
- Valorant
- Statistics
- MCP
apis:
- name: OP.GG MCP Server
  description: Official Model Context Protocol server providing AI agents access to OP.GG game data for League of Legends,
    Teamfight Tactics, and Valorant over Streamable HTTP.
  humanURL: https://github.com/opgginc/opgg-mcp
  baseURL: https://mcp-api.op.gg/mcp
  properties:
  - type: MCPServer
    url: mcp/opgg-mcp.yml
  - type: Documentation
    url: https://github.com/opgginc/opgg-mcp
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://op.gg
- type: About
  url: https://op.gg/lol/about
- type: MCPServer
  url: mcp/opgg-mcp.yml
- type: Documentation
  url: https://github.com/opgginc/opgg-mcp
- type: GitHubOrganization
  url: https://github.com/opgginc
- type: Blog
  url: https://log.op.gg
- type: Support
  url: https://help.op.gg/hc/en-us
- type: TermsOfService
  url: https://op.gg/lol/policies/agreement
- type: PrivacyPolicy
  url: https://op.gg/lol/policies/privacy
- type: Packages
  url: packages/opgg-packages.yml
- type: LLMsTxt
  url: llms/opgg-llms.txt
- type: WellKnown
  url: well-known/opgg-well-known.yml
- type: DomainSecurity
  url: security/opgg-domain-security.yml
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 5
  pass: local-v1