Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Full Odoo access for AI agents via MCP: CRUD, website, translations, attachments, workflows.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
ODOO_URL, ODOO_DB, ODOO_USERNAME, ODOO_PASSWORDValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
}
}
}
}Run this in your terminal
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-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account solutionsunity, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: ODOO_URL, ODOO_DB, ODOO_USERNAME, ODOO_PASSWORD
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.6.1) reached the registry 34 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Python MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.