# UluAlgorandMCP

> Use this tool when you need to resolve .algo names, identify applications, assets, and protocols within the Algorand ecosystem, and require meaningful data instead of raw chain information. It provides a user-friendly interface to retrieve resolved data, taking in .algo names and other identifiers as inputs and outputting corresponding resolved information. Ideal for use cases where simplified and interpretable Algorand data is necessary for further analysis or application development.

Canonical page: https://skillsregistry.net/skills/nautilusoss-ulualgorandmcp  
JSON: https://api.skillsregistry.net/v1/skills/nautilusoss-ulualgorandmcp

## Description

Algorand ecosystem MCP server that identifies applications, assets, protocols, and resolves .algo names, providing meaning rather than raw chain data.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eyp1sal9vz)
- **Repository:** <https://github.com/NautilusOSS/UluAlgorandMCP>

## 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": "nautilusoss-ulualgorandmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nautilusoss-ulualgorandmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nautilusoss-ulualgorandmcp/pull`

---
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