io.github.wellknownmcp/hoshin-kanri
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Publisher-provided title
Hoshin Kanri X-Matrix
Publisher-provided description
Strategic memory agents can build, score and keep current: a living X-Matrix with review cadences.
Summary by lookupd
Lets an agent create, score and update a strategic X-Matrix stored as memory, and track it on recurring review cadences.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http hoshin-kanri https://hoshin.app/mcp
Claude Code, npm package (stdio)
claude mcp add hoshin-kanri -- npx -y hoshin-kanri-mcp
Codex, remote (streamable-http)
codex mcp add hoshin-kanri --url https://hoshin.app/mcp
Codex, npm package (stdio)
codex mcp add hoshin-kanri -- npx -y hoshin-kanri-mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"hoshin-kanri": {
"url": "https://hoshin.app/mcp"
}
}
}Cursor, npm package (stdio) → .cursor/mcp.json
{
"mcpServers": {
"hoshin-kanri": {
"command": "npx",
"args": [
"-y",
"hoshin-kanri-mcp"
]
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Details
- Version: 4.5.0
- Transports: streamable-http, stdio
- Uptime (7 days): 100%
- First indexed:
- Last seen in registry:
- Repository: https://github.com/wellknownmcp/hoshin-kanri
- Website: https://hoshin.app
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