keyshade-mcp vs memory
Side-by-side comparison to help you pick between these two MCP servers.
keyshade-mcp by keyshade-xyz | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 8 | ★ 85,748 |
| 30d uses | — | — |
| Score | 37 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsSecurityProductivity | Knowledge GraphAI / LLM ToolsProductivity |
| Language | JavaScript | TypeScript |
| Last commit | 5 mo ago | this month |
keyshade-mcp · Summary
Keyshade MCP server provides secure API access to manage secrets and keys within development environments.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
keyshade-mcp · Use cases
- Securely retrieving API keys and secrets during development
- Automating credential management in CI/CD pipelines
- Accessing sensitive environment variables without hardcoding
memory · Use cases
- Personalizing AI assistant interactions by remembering user preferences, history, and relationships
- Building context-aware chat applications that maintain conversation history
- Creating knowledge bases that persist across AI model sessions
keyshade-mcp · Install
Installation
- Clone the repository:
git clone https://github.com/keyshade-xyz/keyshade-mcp.git
cd keyshade-mcp- Install dependencies:
pnpm install- Build the project:
pnpm buildConfiguration for Claude Desktop
Add the following to your claude_desktop_config.json:
{
"mcpServers": {
"keyshade": {
"command": "node",
"args": [
"YOUR_ABSOLUTE_PATH_TO/build/index.js"
],
"env": {
"KEYSHADE_API_KEY": "YOUR_KEYSHADE_API_KEY"
}
}
}
}memory · Install
Installation
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}VS Code
Use one-click installation buttons or manually configure in .vscode/mcp.json:
{
"servers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}Docker
{
"mcpServers": {
"memory": {
"command": "docker",
"args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
}
}
}