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aica - AI Code Analyzer MCP Server

@dotneet

基本情報

カテゴリ

開発者ツール

ライセンス

Apache-2.0

トランスポート

stdio

作者

dotneet

aica - AI Code Analyzer MCP Server について

aica(AI Code Analyzer) reviews your code using AI. Supports CLI and GitHub Actions.

aica - AI Code Analyzer 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": {
    "aica": {
      "command": "bun",
      "args": [
        "run",
        "build"
      ]
    }
  }
}

aica - AI Code Analyzer 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 aica - AI Code Analyzer?

aica - AI Code Analyzer is an open-source, customizable, platform-independent AI coding agent and code review tool. It supports the Model Context Protocol (MCP) with stdio and SSE transports, integrates with GitHub, and can be used as a CLI or MCP server.

How to use aica - AI Code Analyzer?

Install via Bun, clone the repository, run bun install && bun run build, and place the binary in your PATH. Set a GITHUB_TOKEN and at least one LLM provider (Anthropic, OpenAI, or Gemini) via environment variables or a aica.toml configuration file. Use commands like aica review, aica agent, aica mcp server, or aica commit.

Key features of aica - AI Code Analyzer

  • AI code review and agent capabilities
  • MCP support via stdio and SSE transports
  • Automatic knowledge retrieval for code review
  • Symbol- and vector-based code/document search
  • Generate summaries, commit messages, and pull requests
  • Slack notification and GitHub Actions integration

Use cases of aica - AI Code Analyzer

  • Automate code reviews on local diffs or GitHub pull requests
  • Execute AI agents to perform file-based tasks or answer prompts
  • Generate commit messages and pull request descriptions
  • Integrate as an MCP server with AI assistants
  • Send code review notifications to Slack

よくある質問

1

How does aica differ from pr-agent or Cursor?

aica is open source, platform-independent, and does not rely on GitHub or other hosting services; it can be fully customized and used locally.

2

What are the runtime dependencies?

You need Bun to build the binary, a GitHub token (`GITHUB_TOKEN` or `gh auth token`), and an API key for at least one LLM provider (Anthropic, OpenAI, or Gemini).

3

Where does aica store its data?

aica creates index databases for code and documents during `aica reindex`. The README does not specify the exact storage location, but data is stored locally in the repository or configuration directory.

4

What are known limitations of the agent command?

The agent command has the potential to break your file system. It is recommended to use Anthropic Claude 3.5 Sonnet for agent tasks.

5

What transports and authentication does the MCP server support?

The MCP server supports stdio and SSE transports. Authentication uses the configured GitHub token and LLM API keys from environment variables or `aica.toml`.

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