About
BGG MCP exposes the BoardGameGeek API through the Model Context Protocol, allowing retrieval of board game details, user collections, pricing, and recommendations in a structured, language‑model friendly format.
Capabilities

Overview
BGG MCP is a dedicated Model Context Protocol server that unlocks the full breadth of BoardGameGeek (BGG) data for AI assistants. By exposing a rich set of tools and prompts, the server allows developers to pull game metadata, user collections, pricing information, and community discussions directly into conversational agents. This eliminates the need for custom API wrappers or manual data scrapers, enabling instant access to up‑to‑date board‑game information in a single, consistent interface.
The server solves the common pain point of fragmented data sources for board‑game enthusiasts. Traditional approaches require separate calls to BGG’s public API, third‑party pricing sites, and recommendation engines—each with its own authentication, rate limits, and data model. BGG MCP consolidates these services into a single protocol‑compliant endpoint: developers can issue a or command, and the assistant receives a structured JSON response that can be immediately rendered or further processed. This unified access streamlines workflow integration, reduces latency, and improves reliability for production AI applications.
Key capabilities include:
- Comprehensive search and detail retrieval (, ) for base games, expansions, or all types.
- User‑centric data (, ) with advanced filtering to surface collections, wishlist items, or play statistics.
- Market insights () that pull real‑time pricing from multiple UK retailers via BoardGamePrices.co.uk, enabling dynamic valuation or trade offers.
- Community engagement (, experimental ) that fetches forum threads or rule clarifications, allowing assistants to surface relevant discussions or FAQs.
- Social trading () that identifies trade opportunities between users, facilitating marketplace interactions.
- Recommendation engine () powered by Recommend.Games, providing algorithmic similarity suggestions based on BGG data.
The accompanying prompts—Trade Sales Post and Game Recommendations—illustrate how higher‑level conversational flows can be built on top of these tools. For example, a user can ask the assistant to draft a trade post that includes current market prices, or request personalized game suggestions tailored to their collection and preferences.
In real‑world scenarios, BGG MCP enables a range of applications: an AI‑powered board‑game shop assistant that automatically lists inventory with accurate pricing, a personal gaming companion that curates weekly recommendations and trade alerts, or an educational chatbot that helps new players learn game rules by querying forum threads. Because the server adheres strictly to MCP, it integrates seamlessly with any AI platform that supports the protocol, from Claude to custom enterprise solutions. The result is a powerful, developer‑friendly bridge between the rich ecosystem of BoardGameGeek and conversational AI.
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