odoo-mcp
odoo-mcp
Odoo 19 JSON-2統合のためのDockerファーストなFastMCPサーバー。
このランタイムは、stdioとHTTPの両方のトランスポートで使用される共有サーバーファクトリを公開します。Odoo固有のツールは、odoo_mcp.tools.register_tools(server, config)または互換性のあるレジストリモジュールからそのファクトリに登録できます。
クイックスタート
環境テンプレートをコピーします:
cp .env.example .env.envを編集して、Odooのエンドポイントと認証情報を設定します。HTTPサーバーを起動します:
docker compose up --buildローカルの準備状況を確認します:
docker compose exec odoo-mcp uv run --no-sync odoo-mcp healthcheck
デフォルトのMCPエンドポイントは http://localhost:8000/mcp です。
Related MCP server: odoo-mcp
ランタイムコマンド
サーバープロセスを直接起動するMCPクライアント向けにstdio経由で実行:
odoo-mcp stdioHTTP経由で実行:
odoo-mcp http --host 0.0.0.0 --port 8000 --path /mcpシークレットを公開せずにサニタイズされた設定を確認:
odoo-mcp inspect-configOdooに接続せずにローカルプロセスの準備状況を確認:
odoo-mcp healthcheck設定
変数 | 目的 |
| Odoo JSON-2呼び出しのベースURL。Odoo APIツールで必須。 |
| オプションのOdooデータベース名。 |
| オプションのOdooユーザー名。 |
| オプションのOdooパスワード。 |
| オプションのOdoo APIキー。 |
| 将来のHTTP認証ミドルウェア用のオプションのシークレット。 |
| HTTPバインドホスト。デフォルトは |
| HTTPバインドポート。デフォルトは |
| HTTPエンドポイントパス。デフォルトは |
| Uvicornのログレベル。デフォルトは |
開発
uvを使用してインストールとテストを実行します:
uv sync
uv run pytestCIで使用される静的チェック:
uv run ruff check .
uv run mypyDockerがターゲットのデプロイメントパスですが、ユニットテストにローカルのDockerは必須ではありません。Dockerのヘルスチェックは odoo-mcp healthcheck を使用し、外部ネットワーク呼び出しを行わずにサーバープロセスの配線を検証します。
統合ポイント
共有ファクトリは odoo_mcp.server.build_server() です。これは常にローカルの healthcheck ツールを登録し、その後、以下からツール登録のインポートを試みます:
odoo_mcp.tools.register_toolsodoo_mcp.tools.registry.register_toolsodoo_mcp.tools.odoo.register_tools
互換性のある関数は (server) または (server, config) のいずれかを受け入れることができます。これは、ランタイムのエントリポイントを変更することなく、Odooクライアント、スキーマ、およびツールワーカーを独立して配置できるようにすることを目的としています。
Available Tools
1 toolhealthcheckA
Return local server readiness metadata.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description indicates a read-only operation returning metadata, which is typical for a healthcheck. However, without annotations, the description does not explicitly confirm non-destructive behavior or other traits like rate limits or authentication needs.
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 sentence with no redundant words, efficiently conveying the tool's purpose. It earns its place without any filler.
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 tool's simplicity (no parameters, no siblings), the description is nearly complete. The presence of an output schema reduces the need to detail return values, though 'metadata' is somewhat vague. It covers the essential purpose.
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?
With zero parameters and 100% schema coverage, the baseline is 4. The description adds value by specifying the returned content ('readiness metadata'), which is beyond what the empty schema provides.
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?
Description explicitly states the tool returns 'local server readiness metadata,' using a specific verb ('return') and a clear resource. No sibling tools exist, so differentiation is not needed.
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?
The description implies usage as a health check for monitoring server readiness, but provides no explicit when-to-use or when-not-to-use guidance. The lack of siblings reduces the need for alternatives, but the description misses contextual cues like frequency or prerequisites.
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
v0.1.0- First observed
healthcheck
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion between tools. The purpose of 'healthcheck' is clear and distinct.
A single tool cannot be inconsistent with itself. The name 'healthcheck' is a reasonable single-word descriptor.
The server is named for Odoo, a full-featured ERP system, but provides only a single health check endpoint. This is an extreme mismatch between scope and tool count.
For an Odoo integration, a single healthcheck tool is severely incomplete, lacking any CRUD operations or domain-specific functionality.
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