Ordiscan MCP Server

Ordiscan MCP Server is a lightweight, plug‑in style Model Context Protocol (MCP) service that exposes detailed information about Bitcoin Ordinals and Runes to AI assistants. By turning the Ordiscan API into an MCP endpoint, developers can query on‑chain metadata—such as inscription content, supply, ownership history, and related tags—directly from within Claude or other MCP‑enabled assistants. This eliminates the need to manually wrap REST calls, handle authentication, or parse JSON responses; instead, the assistant can ask natural‑language questions and receive structured data back in a single roundtrip.

The server is valuable for any project that wants to surface blockchain artifacts in conversational interfaces. For example, a web3 marketplace can let users ask an AI helper about the provenance of a particular Ordinal or the current holder of a Rune, while a data analytics dashboard can surface live metrics about inscription volumes. Because MCP servers run locally and are configured via a simple JSON snippet, integration is as easy as adding the server to Claude Desktop’s configuration file. Once added, the assistant automatically discovers the “ordiscan” server and can invoke its tools or resources without any additional coding.

Key capabilities include:

• Resource discovery: The server lists all available endpoints, such as or , allowing the assistant to present a menu of actions.
• Tool execution: Each endpoint is exposed as an MCP tool that can be called with parameters, returning JSON objects that the assistant can incorporate into responses.
• Prompt templates: Pre‑defined prompts guide the assistant in formulating queries that match Ordiscan’s API schema, reducing friction for developers.
• Sampling support: The server can return paginated lists or filtered results, enabling the assistant to request only relevant slices of data.

Real‑world scenarios span from NFT marketplaces that need instant provenance checks, to researchers who want to aggregate Rune activity across the network, and even educational tools that explain Ordinal mechanics by fetching live examples. In each case, the MCP abstraction keeps the AI workflow clean: a single “ask” command triggers an authenticated API call, and the assistant presents the answer in natural language or a structured table.

What sets Ordiscan MCP apart is its tight integration with the Ordiscan API, which already offers a comprehensive, well‑documented interface for Ordinals and Runes. By wrapping it in MCP, the server delivers zero‑code connectivity, instant authentication via an environment variable, and a developer‑friendly configuration that works out of the box with Claude Desktop. This combination makes it an ideal bridge between on‑chain data and conversational AI, empowering developers to build richer, data‑driven experiences without wrestling with low‑level HTTP plumbing.