# EverMint

> Use this tool when you need to ensure accountability and transparency in AI agent-to-agent transactions, providing a secure and tamper-evident record of actions. EverMint solves problems of trust and auditability in autonomous agent workflows by generating cryptographic receipts and audit trails. It takes in agent actions as input and outputs verified receipts, ideal for use cases requiring high security and compliance.

Canonical page: https://skillsregistry.net/skills/evermint  
JSON: https://api.skillsregistry.net/v1/skills/evermint

## Description

EverMint is a notary layer for AI agent-to-agent transactions, minting tamper-evident receipts for agent actions. It provides cryptographic audit trails and receipt verification for autonomous agent workflows requiring accountability.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/evermint)
- **Repository:** <https://github.com/evermint-app/evermint-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": "evermint"
    }
  }
}
```

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