# UluAlgorandMCP

> Use this tool when you need to efficiently access and manage Algorand ecosystem data, such as identifying applications and assets, or resolving names, without the need for on-chain queries. It solves problems related to data discovery, protocol summaries, and name resolution, providing a knowledge layer for the Algorand ecosystem. The UluAlgorandMCP tool takes in queries and returns relevant data, enabling seamless interaction with the Algorand network.

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

## Description

Algorand ecosystem knowledge layer as an MCP server, enabling identification of applications and assets, protocol discovery, name resolution, and protocol summaries without on-chain queries.

## 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/mmxwhddtmh)
- **Repository:** <https://github.com/MaidToShelly/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": "maidtoshelly-ulualgorandmcp"
    }
  }
}
```

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