Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Full Odoo access for AI agents via MCP: CRUD, website, translations, attachments, workflows.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
ODOO_URL, ODOO_DB, ODOO_USERNAME, ODOO_PASSWORD标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"odoo-surface": {
"command": "npx",
"args": [
"-y",
"@suco/odoo-surface-mcp"
],
"env": {
"ODOO_URL": "your-value",
"ODOO_DB": "your-value",
"ODOO_USERNAME": "your-value",
"ODOO_PASSWORD": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add odoo-surface --env ODOO_URL=your-value --env ODOO_DB=your-value --env ODOO_USERNAME=your-value --env ODOO_PASSWORD=your-value -- npx -y @suco/odoo-surface-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"odoo-surface": {
"command": "npx",
"args": [
"-y",
"@suco/odoo-surface-mcp"
],
"env": {
"ODOO_URL": "your-value",
"ODOO_DB": "your-value",
"ODOO_USERNAME": "your-value",
"ODOO_PASSWORD": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"odoo-surface": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@suco/odoo-surface-mcp"
],
"env": {
"ODOO_URL": "your-value",
"ODOO_DB": "your-value",
"ODOO_USERNAME": "your-value",
"ODOO_PASSWORD": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 solutionsunity 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:ODOO_URL, ODOO_DB, ODOO_USERNAME, ODOO_PASSWORD
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.6.1)于34天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, zanadir
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Find what a repository's CI is missing, and which security checks cannot fail the build.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
User-equivalent Odoo access for AI agents — what the authenticated user can do in their browser, nothing more.
npx — no extra install needed)Add this to your MCP client config (e.g. Claude Desktop claude_desktop_config.json):
{
"mcpServers": { "odoo-surface": { "command": "npx", "args": ["-y", "@suco/odoo-surface-mcp@latest"], "env": { "ODOO_URL": "http://localhost:8069", "ODOO_DB": "your_database", "ODOO_USER": "admin", "ODOO_PASSWORD": "admin" } } } }
Restart your MCP client after saving. npx downloads and runs the package automatically — no further install steps.
.env file (keep credentials out of MCP config)Instead of putting credentials in your MCP client JSON, create a .env file in the directory where you run the MCP:
ODOO_URL=http://localhost:8069
ODOO_DB=your_database ODOO_USER=admin ODOO_PASSWORD=your_password
Remove the env block from the MCP client config — the .env file is loaded automatically.
Since Odoo 14+, users can generate personal API keys that act as a password replacement. Each user generates their own key from their own account — there is no admin-side menu for this.
ODOO_PASSWORD — the actual account password is never storedODOO_URL=http://localhost:8069
ODOO_DB=your_database ODOO_USER=admin ODOO_PASSWORD=your_api_key_here
API keys can be revoked individually from the same screen without changing the account password.
Technical users commonly work with more than one Odoo instance (local dev, staging, production). Each instance gets its own named entry in the MCP config — they run as independent processes with fully isolated credentials. The AI client exposes them as separate tool namespaces.
{
"mcpServers": { "odoo-local": { "command": "npx", "args": ["-y", "@suco/odoo-surface-mcp@latest"], "env": { "ODOO_URL": "http://localhost:8069", "ODOO_DB": "dev", "ODOO_USER": "admin", "ODOO_PASSWORD": "dev_api_key" } }, "odoo-production": { "command": "npx", "args": ["-y", "@suco/odoo-surface-mcp@latest"], "env": { "ODOO_URL": "https://mycompany.odoo.com", "ODOO_DB": "prod", "ODOO_USER": "admin", "ODOO_PASSWORD": "prod_api_key" } } } }
Note: The
.envfile approach (Option A) does not work for multi-instance setups — both
processes share the same working directory and would load the same file. Use the
envblock
per entry instead.
Registers additional tools: ping, echo, inspect_view, inspect_action, inspect_fields, dump_cache, clear_cache, restart_mcp.
"args": ["-y", "@suco/odoo-surface-mcp@latest", "--debug"]
| Layer | Tools |
|---|---|
| Guidance | list_skills, get_skills, find_skill, list_workflows, get_workflows |
| Discovery | get_models, get_model_actions, get_model_interface |
| Planning | get_available_actions |
| Supporting | list_records, get_record, search_records, read_group, get_fields, get_defaults, get_filters, list_pages, get_page_arch, list_snippets, get_snippet, list_attachments, download_binary, fetch_and_upload, translation_get, translation_update, translation_audit |
| Intent | create, update, execute_action, archive, post_message, schedule_activity, create_page, set_page_arch, set_page_visibility, upload_binary |
The agent may only do what the authenticated user can do in their browser. Scope is bounded by the user's menus, views, and ACL — nothing more. Tool verbs express functional intent (publish, confirm) rather than raw ORM operations. Discovery is lazy: the agent resolves only what the current prompt requires.
| Layer | Role | When invoked |
|---|---|---|
| 0 — Guidance | Canonical recipes (skills, workflows) the agent consults before any multi-step operation. Pure documentation, no side effects. | Before planning |
| 1 — Discovery | Establishes the bounded universe of models and reachable relations for the current user. | At intent resolution |
| 2 — Planning Bridge | Answers "what is live on this specific record right now" — record-state-aware actions. | Once a record is identified |
| 3 — Supporting | Read-only data fetchers used silently to fill gaps in the agent's plan. | Throughout planning |
| 4 — Intent | Mutating actions that fulfill the user's request — bounded by the user's UI permissions. | Final execution |
User prompt
├── Discovery — what models/relations does this user have? ├── (optional) — locate the specific record ├── Planning Bridge — what is live on that record right now? ├── Guidance — consult skills/workflows for multi-step recipes └── Intent — execute the mutation(s)
Skills and workflows are authored in skills/ and workflows/ as markdown with YAML frontmatter; they are exposed as Layer 0 tools at runtime.