odoo-mcp
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- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to fully interact with Odoo ERP instances over XML-RPC, supporting read and write operations on any model without requiring Odoo module installation.4AGPL 3.0
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Odoo databases via XML-RPC and JSON-RPC for performing CRUD operations and managing modules. It supports advanced features like domain-based searching, field metadata inspection, and administrative task execution.6 npmMIT
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to securely access and perform CRUD operations on Odoo data through natural language, with granular permissions and dual REST/XML-RPC support.-
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to securely access and interact with Odoo data through natural language, supporting CRUD operations, attachments, and role-based permissions.-
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Odoo ERP systems through XML-RPC communication. Provides access to Odoo models, records, methods, and data structures for comprehensive ERP integration.2MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants like Claude, ChatGPT, and Copilot to connect to Odoo ERP, providing tools to search, read, create, and update any Odoo model such as partners, sales orders, invoices, and products.7 npmAGPL 3.0
TDQS
Scored across 32 tools
Most tools have clearly distinct purposes: search, read, count, aggregate, name_find, create, write, unlink, upsert, etc. are all separate operations. The main ambiguity is odoo_execute, which is a generic method caller that could overlap with many others, and odoo_write vs odoo_update_where, though the descriptions clarify the difference (by IDs vs by domain).
All tools share the odoo_ prefix, which creates a strong brand, but the second part mixes nouns (models, fields, status), verbs (search, read, create), and verb-noun compounds (enable_write, update_where, name_find, get_attachment). Some names like odoo_name_find are oddly ordered, but overall the pattern is predictable and readable.
With 32 tools, the server is on the heavier side, but the scope is broad: it covers ORM operations, imports/exports, attachments, journaling, demo features, and dashboards. Each tool appears to serve a distinct function, so the count feels justifiable for an Odoo integration, even if it exceeds the typical well-scoped range.
The tool surface is remarkably complete: it includes connection management, model/field introspection, search/read/count/aggregate, create/write/unlink/upsert, bulk updates, file import/export, attachment retrieval, a journaling system, demo preparation, and dashboard creation/inspection. There are no obvious dead ends for common Odoo workflows, and odoo_execute covers any missing long-tail operations.