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AccInt MCP Server

@maxbaluev

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

maxbaluev

投稿者

Max Baluev

AccInt MCP Server について

AccInt is a local Work Model and MCP server for persistent scored agent memory, retrieval, commitments, browser/runtime observations, and outcome-based learning across coding agents.

#memory#mcp#agent-memory#developer-tools#ai-agents#retrieval

AccInt 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": {
    "accint": {
      "command": "acc",
      "args": [
        "mcp"
      ]
    }
  }
}

AccInt 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 AccInt?

AccInt is a local work model for coding agents that integrates scored memory, recursive retrieval, commitments, runtime/browser observations, and outcome feedback in one substrate. It exposes an MCP interface so agents can retrieve prior work, record decisions, and close the loop when reality validates or rejects an action.

How to use AccInt?

—

Key features of AccInt

  • Scored memory for prioritizing agent experiences
  • Recursive retrieval of relevant prior work
  • Commitments to track intended actions
  • Runtime and browser observations
  • Outcome feedback to validate or reject actions
  • MCP interface for integration with coding agents

Use cases of AccInt

—

よくある質問

1

What does AccInt do?

AccInt is a local work model for coding agents that provides scored memory, recursive retrieval, commitments, runtime/browser observations, and outcome feedback via an MCP interface.

2

Where can I find the repository and website?

Repository: https://github.com/maxbaluev/accreted-intelligence ; Website: https://accint.xyz

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