odoo-mcp
Enables AI agents to interact with Odoo 19 via JSON-2 API, supporting CRUD operations on Odoo models through MCP tools.
README
odoo-mcp
Docker-first FastMCP server for Odoo 19 JSON-2 integrations.
odoo-mcp exposes Odoo as an MCP server over both HTTP and stdio. It uses the
Odoo 19 external JSON-2 API only:
POST /json/2/<model>/<method>
Authorization: bearer <ODOO_API_KEY>
X-Odoo-Database: <optional database>
Legacy XML-RPC and JSON-RPC are intentionally out of scope.
Status
This is an early implementation with a strong v1 foundation:
- FastMCP
3.2.4 - Docker Compose first
- HTTP and stdio transports
- lazy Odoo credential loading so MCP discovery works before secrets are present
- guarded write operations with
confirm=True - generic Odoo tools
- comprehensive CRM tool pack
- resources and prompts for safe Odoo work
- pytest, ruff, mypy, and GitHub Actions CI
Quick Start With Docker
Copy the environment template and edit the Odoo values:
cp .env.example .env
Required for real Odoo calls:
ODOO_URL=https://your-odoo-host.example.com
ODOO_API_KEY=your-odoo-api-key
ODOO_DATABASE=your-database-if-needed
Start the HTTP server:
docker compose up --build
The default MCP endpoint is:
http://localhost:8000/mcp
Check local process readiness:
docker compose exec odoo-mcp uv run --no-sync odoo-mcp healthcheck
Local Development
Install dependencies:
uv sync
Run the full gate:
uv run pytest
uv run ruff check .
uv run ruff format --check .
uv run mypy src
Run HTTP locally:
uv run odoo-mcp http --host 0.0.0.0 --port 8000 --path /mcp
Run stdio locally:
uv run odoo-mcp stdio
Inspect sanitized config:
uv run odoo-mcp inspect-config
MCP Client Config
Stdio example:
{
"mcpServers": {
"odoo": {
"command": "uv",
"args": ["run", "odoo-mcp", "stdio"],
"env": {
"ODOO_URL": "https://your-odoo-host.example.com",
"ODOO_API_KEY": "your-odoo-api-key",
"ODOO_DATABASE": "your-database-if-needed"
}
}
}
}
HTTP clients should connect to /mcp. If the server is exposed beyond a trusted
network, set MCP_AUTH_MODE=static or MCP_AUTH_MODE=jwt.
Configuration
| Variable | Purpose |
|---|---|
ODOO_URL |
Base URL for Odoo 19 JSON-2 calls. |
ODOO_API_KEY |
Odoo API key sent as Authorization: bearer .... |
ODOO_DATABASE |
Optional Odoo database header. |
ODOO_TIMEOUT_SECONDS |
HTTP timeout for Odoo calls. Defaults to 30. |
ODOO_ALLOWED_GENERIC_METHODS |
Comma-separated allowlist for otherwise blocked generic methods. |
ODOO_CRM_OPTIONAL_FEATURES |
Comma-separated optional CRM features to expose. |
MCP_AUTH_MODE |
none, static, or jwt. Defaults to none. |
MCP_STATIC_TOKEN |
Bearer token for MCP_AUTH_MODE=static. |
JWT_JWKS_URI |
JWKS URL for MCP_AUTH_MODE=jwt. |
JWT_PUBLIC_KEY |
Public key alternative for JWT verification. |
JWT_ISSUER |
Optional expected JWT issuer. |
JWT_AUDIENCE |
Optional expected JWT audience. |
JWT_REQUIRED_SCOPES |
Optional comma-separated JWT scopes. |
MCP_HTTP_HOST |
HTTP bind host. Defaults to 0.0.0.0. |
MCP_HTTP_PORT |
HTTP bind port. Defaults to 8000. |
MCP_HTTP_PATH |
MCP endpoint path. Defaults to /mcp. |
MCP_LOG_LEVEL |
HTTP server log level. Defaults to info. |
Tool Catalog
Generic Odoo tools:
odoo_search_readodoo_readodoo_createodoo_writeodoo_unlinkodoo_actionodoo_call_methododoo_current_userodoo_model_fieldsodoo_list_models
CRM tools:
- leads and opportunities:
crm_list_leads,crm_get_lead,crm_create_lead,crm_update_lead,crm_assign_lead - pipeline:
crm_list_pipeline_stages,crm_move_lead_to_stage,crm_pipeline_report - won/lost lifecycle:
crm_mark_won,crm_mark_lost,crm_restore_lead,crm_list_lost_reasons - conversion and merge:
crm_convert_lead_to_opportunity,crm_merge_opportunities - activities:
crm_schedule_activity,crm_mark_activity_done,crm_list_activities,crm_list_activity_types,crm_activity_report - teams and scoring:
crm_list_teams,crm_update_lead_score - optional features:
crm_enrich_lead,crm_list_scoring_rules,crm_recurring_revenue_report
Optional CRM tools are registered only when their feature key is listed in
ODOO_CRM_OPTIONAL_FEATURES.
Resources And Prompts
Resources:
odoo://server/infoodoo://user/contextodoo://model/{model}/fieldsodoo://crm/pipeline/summary
Prompts:
odoo_safe_operationodoo_crm_pipeline_reviewodoo_record_change_plan
Safety Model
Odoo remains the final authorization layer through its access rights and record rules. The MCP server adds local guardrails:
- mutating Odoo client calls require
confirm=True - generic dangerous methods such as
call_kwandexecute_kware blocked unless explicitly allowlisted - HTTP MCP auth is separate from the server-side Odoo API key
inspect-configredacts secrets- Odoo API errors redact configured secret values
Use MCP_AUTH_MODE=static for simple private HTTP deployments:
MCP_AUTH_MODE=static
MCP_STATIC_TOKEN=change-me
Use MCP_AUTH_MODE=jwt with JWT_JWKS_URI or JWT_PUBLIC_KEY for production
identity-provider-backed deployments.
Extending
Add module packs under src/odoo_mcp/tools/ and register them from
src/odoo_mcp/server.py. Prefer typed, curated tools for business workflows and
leave odoo_call_method as the explicit escape hatch.
When adding new Odoo workflows:
- Write tests first with mocked Odoo JSON-2 behavior.
- Prefer single-call Odoo methods like
search_readbecause each JSON-2 call is its own transaction. - Require
confirm=Truefor writes, actions, posting, validation, archive, and delete operations. - Add focused README entries for new tools and optional feature flags.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.