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Coderadius MCP Server

@coderadius-ai

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基本情報

カテゴリ

その他

ライセンス

Apache-2.0

トランスポート

stdio

作者

coderadius-ai

投稿者

Emanuele Menon

Coderadius MCP Server について

Prevent cross-repo architectural breakage before merge. Architecture knowledge graph from static analysis, blast radius in CI, MCP server for AI agents.

Coderadius MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "coderadius": {
      "args": [
        "mcp",
        "start"
      ],
      "command": "cr"
    }
  }
}

Coderadius MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Coderadius?

Coderadius is a static analysis tool that builds a live knowledge graph of your entire architecture across every service, API, queue, and database. It helps engineers and AI agents measure blast radius, enforce policy, and prevent cross-repo breaking changes before merge.

How to use Coderadius?

Install via npm i -g coderadius or the install script, then run cr init to configure, cr up to start the local graph database, cr analyze code . to build the graph, cr blast to check impact of current changes, and cr mcp start to start the MCP server for AI agents.

Key features of Coderadius

  • Static architecture graph built from code
  • Blast radius analysis with semantic exit codes
  • Native MCP server for AI agent context
  • Declarative governance as code with YAML policies
  • Local-first: no code leaves your machine, supports Ollama
  • Supports multiple languages and frameworks

Use cases of Coderadius

  • Prevent accidental breaking changes across microservices
  • Provide AI agents with context to avoid breaking downstream systems
  • Enforce architectural policies without file-level linting
  • Discover undocumented dependencies and coupling hotspots
  • Trace data lineage across services and databases

よくある質問

1

How does Coderadius differ from observability tools?

Coderadius builds its graph statically from code, not from runtime traffic, so it works before deployment.

2

What are the runtime requirements?

Docker for the local graph database and a self-contained binary for macOS or Linux. No other dependencies.

3

Is my code sent to external servers?

No. Coderadius is local-first; your code never leaves your machine. You can use a local LLM via Ollama or bring your own API key.

4

What frameworks and languages are supported?

Language support includes TypeScript, PHP, Python, Go, and Java. Several frameworks are eval-verified, others are heuristic+LLM.

5

How stable is the current release?

Coderadius is 0.x and moving fast. The deterministic core is well-tested, but LLM extraction quality varies and the CLI surface may change without migration paths.

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