# pumpfun-claims-bot

> pumpfun-claims-bot — nirholas-pumpfun-claims-bot. Use this tool when you need to monitor Solana PumpFun on-chain activity and receive intelligent alerts on GitHub social fee claims and token graduations. It solves the problem of manually tracking and verifying claims by providing enriched Telegram cards with credibility scores, dev track records, and influencer tiers. The tool takes Solana on-chain data as input and outputs informative Telegram cards, making it ideal for use cases requiring real-time monitoring and verification of social fee claims and token graduations.

Canonical page: https://skillsregistry.net/skills/nirholas-pumpfun-claims-bot  
JSON: https://api.skillsregistry.net/v1/skills/nirholas-pumpfun-claims-bot

## Description

Monitors Solana PumpFun on-chain activity and broadcasts rich, intelligence-enriched Telegram cards for GitHub social fee claims and token graduations, including credibility scores, dev track records, and influencer tiers.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zdxvnf4tbc)
- **Repository:** <https://github.com/nirholas/pumpfun-claims-bot>

## 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": "nirholas-pumpfun-claims-bot"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nirholas-pumpfun-claims-bot` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nirholas-pumpfun-claims-bot/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