# MadeOnSol

> MadeOnSol — madeonsol-mcp-server-madeonsol. Use this tool when you need to gain real-time insights into Solana market trends and trading activity, solving problems such as identifying potential price movements and staying ahead of market coordination. It takes in blockchain data and outputs trading intelligence, including KOL wallet tracking, deployer scoring, and DEX trade streaming. Use MadeOnSol in contexts where timely and accurate market information is crucial, such as high-frequency trading or investment decision-making.

Canonical page: https://skillsregistry.net/skills/madeonsol-mcp-server-madeonsol  
JSON: https://api.skillsregistry.net/v1/skills/madeonsol-mcp-server-madeonsol

## Description

Real-time Solana trading intelligence: track 1,069 KOL wallets with <3s latency, score 23,000+ Pump.fun deployers, surface deshred deploy signals ~500ms before on-chain confirmation, detect multi-KOL coordination, and stream every DEX trade across 9+ programs.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cv8asax1t1)
- **Repository:** <https://github.com/MadeOnSol/mcp-server-madeonsol>

## 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": "madeonsol-mcp-server-madeonsol"
    }
  }
}
```

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