Ordiscan MCP Server
@ordiscan
About Ordiscan MCP Server
An MCP server for getting information about Ordinals and Runes on Bitcoin
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"ordiscan": {
"command": "npx",
"args": [
"ordiscan-mcp@latest"
],
"env": {
"ORDISCAN_API_KEY": "YOUR_API_KEY"
}
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Ordiscan MCP Server?
A Model Context Protocol server that provides information about Ordinals and Runes on the Bitcoin blockchain. It is designed for developers using AI assistants like Claude that support the MCP protocol.
How to use Ordiscan MCP Server?
Configure the server in your Claude Desktop configuration file (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json; Windows: %APPDATA%/Claude/claude_desktop_config.json) with the npx command ordiscan-mcp@latest and an ORDISCAN_API_KEY environment variable. Obtain a free API key from ordiscan.com/docs/api.
Key features of Ordiscan MCP Server
- Access Ordinals and Runes data on Bitcoin
- Integrates with MCP‑compatible clients (e.g., Claude Desktop)
- Requires only an API key and Node.js to run
Use cases of Ordiscan MCP Server
- Querying Ordinal inscriptions and Rune token information via an AI assistant
- Building Bitcoin data‑aware chat experiences
- Enabling natural‑language queries about Bitcoin digital artifacts
FAQ from Ordiscan MCP Server
What does Ordiscan MCP Server do?
It provides a Model Context Protocol interface for retrieving information about Ordinals and Runes on the Bitcoin network.
Do I need an API key?
Yes, you must obtain a free API key from Ordiscan and set it as the ORDISCAN_API_KEY environment variable.
How do I install and run Ordiscan MCP Server?
Install by running npm install in the cloned repository, build with npm run build, and start with the provided configuration. For development, use npm run watch for auto‑rebuild.
Which runtime or dependencies are required?
Node.js and npm are required. The server is launched via npx and the ordiscan-mcp@latest package.
Where does the data come from?
The server uses the Ordiscan API to fetch Ordinals and Runes data; your API key authenticates requests.
Frequently asked questions
What does Ordiscan MCP Server do?
It provides a Model Context Protocol interface for retrieving information about Ordinals and Runes on the Bitcoin network.
Do I need an API key?
Yes, you must obtain a free API key from Ordiscan and set it as the `ORDISCAN_API_KEY` environment variable.
How do I install and run Ordiscan MCP Server?
Install by running `npm install` in the cloned repository, build with `npm run build`, and start with the provided configuration. For development, use `npm run watch` for auto‑rebuild.
Which runtime or dependencies are required?
Node.js and npm are required. The server is launched via `npx` and the `ordiscan-mcp@latest` package.
Where does the data come from?
The server uses the Ordiscan API to fetch Ordinals and Runes data; your API key authenticates requests.
Basic information
More Other MCP servers
DeepMark
DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.
MCP Go 🚀
mark3labsA Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
Unity MCP ✨
justinpbarnettUnity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.
Mobile Mcp
mobile-nextModel Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Real Devices)
Peekaboo MCP – lightning-fast macOS screenshots for AI agents
steipetePeekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.
Comments