Notes MCP Server
mcp-server-on-raspi MCP サーバー
MCP サーバー プロジェクト
コンポーネント
リソース
サーバーは、次の機能を備えたシンプルなメモ保存システムを実装します。
個々のノートにアクセスするためのカスタム note:// URI スキーム
各ノートリソースには、名前、説明、text/plain mimetype があります。
プロンプト
サーバーは単一のプロンプトを提供します:
要約ノート: 保存されているすべてのノートの要約を作成します
詳細レベル(簡潔/詳細)を制御するためのオプションの「スタイル」引数
現在のすべてのメモをスタイルの好みに合わせて組み合わせたプロンプトを生成します
ツール
サーバーは 1 つのツールを実装します。
add-note: サーバーに新しいメモを追加します
必須の文字列引数として「name」と「content」を取ります
サーバーの状態を更新し、リソースの変更をクライアントに通知します
Related MCP server: mcp-meituan-ip
構成
[TODO: 実装に固有の構成の詳細を追加する]
クイックスタート
インストール
クロードデスクトップ
MacOS の場合: ~/Library/Application\ Support/Claude/claude_desktop_config.json Windows の場合: %APPDATA%/Claude/claude_desktop_config.json
発達
建築と出版
配布用のパッケージを準備するには:
依存関係を同期し、ロックファイルを更新します。
uv syncパッケージディストリビューションをビルドします。
uv buildこれにより、 dist/ディレクトリにソースとホイールのディストリビューションが作成されます。
PyPI に公開:
uv publish注: 環境変数またはコマンド フラグを使用して PyPI 資格情報を設定する必要があります。
トークン:
--tokenまたはUV_PUBLISH_TOKENまたはユーザー名/パスワード:
--username/UV_PUBLISH_USERNAMEおよび--password/UV_PUBLISH_PASSWORD
デバッグ
MCPサーバーはstdio経由で実行されるため、デバッグが困難になる場合があります。最適なデバッグ環境を実現するには、 MCP Inspectorの使用を強くお勧めします。
次のコマンドを使用して、 npm経由で MCP Inspector を起動できます。
npx @modelcontextprotocol/inspector uv --directory /Users/daikiwatanabe/ghq/github.com/daikw/mcp-server-on-raspi run mcp-server-on-raspi起動すると、ブラウザでアクセスしてデバッグを開始できる URL がインスペクタに表示されます。
Available Tools
1 tooladd-noteC
Add a new note
| Name | Required | Description | Default |
|---|---|---|---|
| content | Yes | ||
| name | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'Add a new note' and provides no details on side effects, permissions, return values, or error behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single short sentence with no wasted words, making it concise and front-loaded. However, it is under-specified for the tool's complexity, though this is largely a completeness issue rather than a conciseness issue.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, output schema, and parameter descriptions, a five-word description is insufficient for an agent to invoke the tool correctly. The meaning of the parameters and expected return behavior remain ambiguous.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero description coverage for the two required parameters ('name' and 'content'), and the description does not explain their meaning or format. The agent cannot infer what 'name' or 'content' represent.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Add') and a specific resource ('note'), clearly stating the tool's function. It differentiates itself from the sibling 'get_report', which is a read operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description only states the action without any context about when to invoke it or when to choose a sibling tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
v1.0.0- First observed
add-note
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'add-note' has a clear and distinct purpose that cannot be confused with any other tool in this set.
The naming follows a consistent verb-noun pattern with 'add-note', and since there is only one tool, there is no inconsistency to evaluate. The naming is clear and predictable within this minimal set.
A single tool is too few for a server named 'Notes MCP Server', which implies a broader scope for managing notes (e.g., creating, reading, updating, deleting). This minimal set feels incomplete and under-scoped for the apparent domain.
The tool surface is severely incomplete for a notes management server. It only provides an 'add-note' tool, lacking essential operations like retrieving, updating, deleting, or listing notes, which will cause significant agent failures in typical workflows.
Maintenance
Related MCP Connectors
Persistent memory layer for AI tools. Save and recall notes across Claude and other MCP clients.
Notes and actions in one app. Let Claude or ChatGPT read and update them.
Notes and memory assistant: one Markdown vault that Claude, ChatGPT and any MCP client can share.
Notes, tasks, habits, journal and 6 more tools Claude can read and change, with undo. Free.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceA Claude-compatible MCP server that enables storing and summarizing notes through a simple note storage system with custom URI scheme.5-
- AlicenseBqualityDmaintenanceA simple note storage system that allows creating, storing, and summarizing notes with customizable detail levels.2MIT
- AlicenseBqualityDmaintenanceA simple system that allows Claude to leave and manage notes for itself across sessions, functioning like an 'Alexa, remind me...' for AI assistants.72MIT
- FlicenseBqualityDmaintenanceA simple notes system that allows creating, storing, and accessing text notes through MCP resources and tools, with prompt support for generating summaries of all stored notes.137 npm-