# Swarmrails MCP

> Use this tool when you need to leverage AI capabilities like text generation, image creation, and forecasting, or access prediction market intelligence directly from AI assistants. It solves problems related to content creation, data analysis, and decision-making by providing a pay-as-you-go interface to various Bittensor subnets and SharpSignal markets. It takes in user requests and outputs generated content, forecasts, or market insights, with transactions facilitated via USDC on the Base blockchain.

Canonical page: https://skillsregistry.net/skills/wizerai1111-swarmrails-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wizerai1111-swarmrails-mcp

## Description

Enables interaction with various Bittensor subnets and SharpSignal prediction market intelligence directly from AI assistants like Claude. It supports diverse capabilities including text generation, image/video creation, forecasting, and 3D asset generation using a pay-as-you-go model via USDC on the Base blockchain.

## Trust

- **Trust score (0–1):** 0.90
- **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/tdchbw90hb)
- **Repository:** <https://github.com/wizerai1111/swarmrails-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": "wizerai1111-swarmrails-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wizerai1111-swarmrails-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wizerai1111-swarmrails-mcp/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
