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 is listed with 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 📡 Profile data on GitHub

15.2/100 emerging ▬ flat Agent 12/100 agent aware Front door AI 1/6 silent Heartbeat 48/100 going silent saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API 1 MCP Servers

Company Gaming Esports Game Data Analytics League of LegendsVALORANTStatistics MCP

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 15.2/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 2.8 / 17

Access Clarity 3.6 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 6.4 / 9

Regulatory Posture 2.1 / 15

Agent readiness — 12/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

12 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 16.7 — up to +16.7 composite points
Access Clarity scores 21.1 — up to +15.8 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/opgg/apis.yml: open an issue on github.com/api-evangelist/opgg to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Discord App Directory (builders of apps on Discord)	builds-on	17.2 (thin)	-	1

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

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 Server

Official Model Context Protocol server that provides AI agents with access to OP.GG game data for League of Legends, Teamfight Tactics, and Valorant.

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)

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
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
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
tags_raw:
- 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

OPGG API — frequently asked questions

Does OPGG have an API?

Yes. APIs.io lists 1 API from OPGG, including OP.GG MCP Server.

Does OPGG have an MCP server?

Yes. APIs.io lists 1 MCP server for OPGG: Official Model Context Protocol server that provides AI agents with access to OP.GG game data for League of Legends, Teamfight Tactics, and Valorant.

Is the OPGG API ready for AI agents?

OPGG has a Kin Score of 15.2 out of 100 (emerging) and an Agent Readiness score of 12.4 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

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find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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