# Plasma Testnet MCP Server

> Use this tool when you need to interact with the Plasma Network blockchain testnet, enabling AI assistants to perform XPL token transfers, monitor transactions, and query wallet balances through natural language inputs. It solves problems related to blockchain testing, smart contract interaction, and cryptocurrency transactions, providing outputs such as transaction status, gas estimates, and wallet balances. Ideal for testing and development use cases, it streamlines blockchain interactions through a natural language interface.

Canonical page: https://skillsregistry.net/skills/tairon-ai-plasma-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tairon-ai-plasma-mcp

## Description

Enables AI assistants to interact with the Plasma Network blockchain testnet, supporting XPL token transfers, transaction monitoring, gas estimation, wallet balance queries, and smart contract interactions through natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cl41m5vewg)
- **Repository:** <https://github.com/Tairon-ai/plasma-mcp>

## 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": "tairon-ai-plasma-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tairon-ai-plasma-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tairon-ai-plasma-mcp/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
