# mcp-inscription

> Use this tool when you need to interact with Bitcoin Ordinals inscriptions, enabling AI assistants to retrieve and display inscription content from transactions. It solves problems related to accessing and displaying on-chain data, providing a seamless interface for integration with platforms like Goose and Claude Desktop. This tool is ideal for use cases requiring direct interaction with Bitcoin Ordinals, such as retrieving and displaying inscription content.

Canonical page: https://skillsregistry.net/skills/laz1mov-mcp-inscription  
JSON: https://api.skillsregistry.net/v1/skills/laz1mov-mcp-inscription

## Description

Enable AI assistants to interact directly with Bitcoin Ordinals inscriptions. Seamlessly integrates with Goose and Claude Desktop to retrieve and display inscription content from transactions.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gsg49b7s9g)
- **Repository:** <https://github.com/Laz1mov/mcp-inscription>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "laz1mov-mcp-inscription"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/laz1mov-mcp-inscription` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/laz1mov-mcp-inscription/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt