Limitless TCG MCP Server

Limitless TCG MCP Server

The Limitless TCG Model Context Protocol (MCP) server bridges large‑language models with the real‑time data of the Limitless TCG platform. By exposing tournament, team, and decklist endpoints through a standardized MCP interface, it lets developers ask natural‑language questions of an LLM and receive structured, authenticated responses without having to write API wrappers themselves. This is especially valuable for teams building chat‑based analytics tools, tournament dashboards, or automated coaching assistants.

At its core, the server authenticates with the Limitless TCG API using an access key and forwards requests to endpoints such as , , , and . The MCP resources are formatted as URLs like , allowing the LLM to resolve parameters directly from user intent. The server then returns JSON payloads that can be rendered or further processed by downstream applications, ensuring consistency across different clients.

Key capabilities include:

• Unified query language: Developers can request tournament lists, details, standings, and pairings with simple URL patterns, letting the LLM handle parameter extraction.
• Built‑in authentication: The server injects the required header automatically, sparing developers from managing secrets in every request.
• Pagination and filtering: Parameters such as , , , , and give fine‑grained control over the data returned, ideal for building dashboards that show recent events or filter by organizer.
• Seamless LLM integration: The MCP server is designed for Claude Desktop and any other MCP‑compatible model, enabling conversational queries like “Show me the latest Pokémon VGC tournaments” to be resolved in real time.

Typical use cases involve creating AI‑powered tournament trackers, generating automated reports for competitive teams, or building chatbots that answer fan questions about ongoing events. By handling authentication and data normalization internally, the server lets developers focus on higher‑level logic and user experience rather than boilerplate API plumbing. Its straightforward resource URLs and clear parameter set make it a standout choice for developers looking to embed live tournament data into AI workflows.