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Wordle MCP (Python)

MCP Server

Fetch Wordle solutions via API in a lightweight Python server

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Updated 20 days ago

About

A Model Context Protocol server that retrieves Wordle puzzle solutions from the official API, supporting dates between 2021‑05‑19 and 23 days ahead. Ideal for AI tools needing quick access to daily Wordle answers.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Wordle MCP in action

The Wordle MCP server bridges the gap between AI assistants and the popular word‑guessing game by exposing a simple, authenticated API that returns daily Wordle solutions. Developers can embed this capability into conversational agents so users can ask for the answer of a specific day, or even automate game‑analysis workflows. By limiting access to dates from 2021‑05‑19 up to 23 days into the future, the server respects the official Wordle data policy and ensures that requests stay within the bounds of the publicly available dataset.

At its core, the server offers a single resource that accepts a date parameter and returns the corresponding solution word. The response is lightweight, containing just the word string, which makes it ideal for quick lookups or batch processing. The API is stateless and can be run in a Docker container or via the command line tool, giving developers flexibility in deployment environments. Because it is built on the MCP framework, any Claude or other AI assistant can automatically discover and invoke this service without custom integration code.

Key features include:

  • Date‑bounded query: Clients specify a target date; the server validates against Wordle’s availability window and rejects out‑of‑range requests with a clear error message.
  • Docker‑ready: The image is pre‑built on GitHub Container Registry, enabling instant deployment with minimal configuration.
  • Python implementation: Leveraging the robust Python ecosystem allows easy extension, such as adding caching or analytics on top of the base solution fetch.
  • Open‑source: The repository is fully open, encouraging community contributions and rapid iteration.

Typical use cases span from casual gaming bots that can answer “What’s the Wordle for today?” to more sophisticated analytics pipelines that collect solution data over time for trend analysis or training language models on game‑specific vocabulary. In a developer workflow, the MCP server can be added to an AI assistant’s configuration file; once registered, prompts like “Give me the Wordle solution for 2024‑03‑12” are automatically routed to the server, and the assistant returns a concise answer without any manual API handling.

The standout advantage of Wordle MCP is its simplicity coupled with strict adherence to the game’s data limits. It removes the need for developers to manage authentication tokens, rate limiting, or complex HTTP clients—everything is encapsulated in the MCP protocol. This makes it an attractive addition for any project that wants to incorporate real‑time Wordle data into AI interactions, ensuring a seamless and compliant experience for end users.