My Awesome MCP Server
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- AlicenseAqualityAmaintenanceEnables AI agents to connect to Odoo ERP for safe read operations, guarded draft creation, and approval-gated critical mutations through a deterministic security firewall.831 PyPIMIT
- AlicenseAqualityAmaintenanceEnables AI agents to interact with Odoo ERP as the authenticated user, with tools for discovery, planning, and mutations bounded by user permissions.3650 npm2Apache 2.0
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with Odoo ERP via the external API. It supports listing models, describing schemas, searching, aggregating, creating, updating, deleting records, and invoking business methods, with a configurable permission matrix for safety.-
- AlicenseNot gradedqualityNot gradedmaintenanceEnables AI assistants to interact with Odoo ERP systems through natural language to search records, create entries, update data, and manage business operations. Supports secure authentication and configurable access controls for production environments.Mozilla Public 2.0
- 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.8 npmAGPL 3.0
- AlicenseNot gradedqualityCmaintenancePlaces an MCP server in front of Odoo so AI agents can read live ERP data — stock by warehouse, reorder suggestions, invoices, sales, purchase and manufacturing orders — and draft proposed writes such as purchase orders, stock transfers, manufacturing orders and vendor bills. Every change is queued for human approval before it is written to the ERP, with per-client scopes, warehouse restrictions, rate limits and a full audit log of each call and decision.MIT
TDQS
Scored across 18 tools
Most tools target clearly distinct actions (CRUD, search, metadata, attachments, reports). The main overlap is get_model_fields vs get_field_names (full field definitions vs compact list), and there are three search variants (search_records, name_search, search_count), though their descriptions do clarify the boundaries.
Strong, predictable verb_noun snake_case pattern (get_record, search_records, create_record, update_record, delete_record, execute_method, etc.). Minor deviation: a few noun-only names (model_info, server_status, cache_stats) break the verb-prefix pattern but remain readable and conventional for status/info tools.
18 tools is on the heavier side but each maps to a real capability of an Odoo ORM surface (CRUD, search, metadata introspection, method execution, reports, attachments). Slightly over-scoped rather than bloated, with no obviously redundant tools.
Covers the full lifecycle: create/read/update/delete, multiple search modes, model and field introspection, method calling, onchange simulation, PDF reports, and attachment upload/download, plus status and cache tooling. No obvious dead ends for the domain.