# mint-protocol

> Use this tool when you need to establish trust and verify the work of autonomous agents, such as AI models or machines, through universal work attestation and tamper-evident on-chain records. It solves problems of identity, reputation, and trust in the agent economy by providing a persistent cryptographic identity and queryable trust scores. With inputs of agent registrations and work completions, and outputs of trust scores and on-chain records, use mint-protocol to build a reliable and secure ecosystem for autonomous agents.

Canonical page: https://skillsregistry.net/skills/foundrynet-mint-mcp  
JSON: https://api.skillsregistry.net/v1/skills/foundrynet-mint-mcp

## Description

Universal work attestation for autonomous
agents. Register any AI agent or machine
with persistent cryptographic identity,
attest completed work with tamper-evident
on-chain records, and query trust scores.
The reputation layer for the agent economy.
3 MCP tools over SSE. Settled on Solana.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **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/w3ggd93gdx)
- **Repository:** <https://github.com/FoundryNet/mint-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": "foundrynet-mint-mcp"
    }
  }
}
```

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