# keyper

> keyper — sharziki-keyper. Use this tool when you need to securely manage sensitive information like API keys and environment variables for AI agents. Keyper encrypts and stores these secrets locally, providing a secure interface for listing, retrieving, and utilizing them while keeping values redacted. It solves the problem of protecting sensitive data while enabling AI agents to access necessary credentials via MCP.

Canonical page: https://skillsregistry.net/skills/sharziki-keyper  
JSON: https://api.skillsregistry.net/v1/skills/sharziki-keyper

## Description

Encrypts and stores API keys and environment variables locally, providing them to AI agents via MCP with tools for listing, describing, getting secrets, and running commands with secret values redacted.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aydyf62at8)
- **Repository:** <https://github.com/sharziki/keyper>

## 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": "sharziki-keyper"
    }
  }
}
```

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