# ZKProof

> Use this tool when you need to build, generate, and verify zero-knowledge proofs without revealing sensitive data, solving problems related to privacy and security in various applications. It takes Circom files and other inputs, and outputs verified proofs, enabling use cases such as age verification and other privacy-preserving protocols. It is particularly useful in contexts where data privacy is crucial, such as identity verification, financial transactions, and secure data sharing.

Canonical page: https://skillsregistry.net/skills/colygon-zkproof  
JSON: https://api.skillsregistry.net/v1/skills/colygon-zkproof

## Description

zkMCP provides a Model Context Protocol server for zero-knowledge proofs using circom, enabling AI assistants to build circuits, perform trusted setup, generate proofs, and verify proofs without revealing sensitive data. Implemented in TypeScript, the server executes shell scripts that interact with circom and snarkjs, exposing four standardized tools through the MCP SDK: building circuits from Circom files, performing trusted setup, generating proofs, and verifying proofs. The repository includes a practical age verification example that demonstrates how users can prove they meet age requirements without revealing their actual birth date, showcasing the privacy benefits of zero-knowledge proofs for real-world applications.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/colygon-zkproof)
- **Repository:** <https://github.com/opencolin/zkpmcp>

## 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": "colygon-zkproof"
    }
  }
}
```

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