Hoshin Kanri X-Matrix

Strategic memory agents can build, score and keep current: a living X-Matrix with review cadences.

What does this entry provide?

Hoshin Kanri X-Matrix is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 73/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Hoshin Kanri X-Matrix to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 73/100
Install method: streamable-http
Repo: wellknownmcp/hoshin-kanri
Repo updated: Jul 30, 2026

Install command

mcp add io.github.wellknownmcp/hoshin-kanri https://hoshin.app/mcp

Install method: streamable-http

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Jul 30, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-07-30T15:16:12.324226Z",
      "publishedAt": "2026-07-30T15:16:12.324226Z",
      "statusChangedAt": "2026-07-30T15:16:12.324226Z"
    }
  },
  "server": {
    "name": "io.github.wellknownmcp/hoshin-kanri",
    "_meta": {
      "io.modelcontextprotocol.registry/publisher-provided": {
        "vendor": "Animam Technologies",
        "categories": [
          "strategy",
          "planning",
          "lean",
          "okr",
          "management"
        ],
        "highlights": [
          "create_matrix, upsert_element and set_correlation: an agent builds a strategy from nothing, then keeps it current — no web form in the loop",
          "14 tools + 9 guided prompts: idea inbox, theme deployment diagnosis, weekly execution sync (Linear/Jira via external_ref)",
          "A completeness score that returns a verdict, not a dashboard: coverage, correlation density, orphan elements, vision-to-KPI chains, leading/lagging balance",
          "matrix_artifact prompt renders a boardroom-ready interactive X-Matrix artifact",
          "share_matrix publishes a revocable read-only public link",
          "OAuth 2.1 with PKCE and dynamic client registration - connects to claude.ai and Cursor in minutes",
          "Sovereign local JSON mode available (data never leaves your machine)"
        ],
        "documentation": "https://hoshin.app"
      }
    },
    "title": "Hoshin Kanri X-Matrix",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://hoshin.app/mcp",
        "type": "streamable-http"
      }
    ],
    "version": "3.0.0",
    "packages": [
      {
        "version": "3.0.0",
        "transport": {
          "type": "stdio"
        },
        "identifier": "hoshin-kanri-mcp",
        "registryType": "npm",
        "registryBaseUrl": "https://registry.npmjs.org"
      }
    ],
    "repository": {
      "url": "https://github.com/wellknownmcp/hoshin-kanri",
      "source": "github"
    },
    "websiteUrl": "https://hoshin.app",
    "description": "Strategic memory agents can build, score and keep current: a living X-Matrix with review cadences."
  }
}

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