# Keyway MCP Server

> Use this tool when you need to securely manage sensitive credentials and secrets in AI conversations, eliminating the risk of exposing sensitive values in conversation history. The Keyway MCP Server solves problems related to secret management, scanning, and secure command execution, making it ideal for use cases requiring high security and compliance. It accepts sensitive credentials as input and outputs masked variables for secure execution, making it a valuable asset in environments where security and data protection are paramount.

Canonical page: https://skillsregistry.net/skills/keywaysh-keyway-mcp  
JSON: https://api.skillsregistry.net/v1/skills/keywaysh-keyway-mcp

## Description

A GitHub-native secrets manager that allows AI assistants to securely manage, generate, and validate credentials without exposing sensitive values in conversation history. It supports secret scanning, environment diffing, and secure command execution by injecting masked variables directly into the runtime environment.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rpm5cyll04)
- **Repository:** <https://github.com/keywaysh/keyway-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": "keywaysh-keyway-mcp"
    }
  }
}
```

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