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    An AI business analyst for your Odoo ERP. Ask one question, get one answer — numbers, highlights, risks, and a verdict (on-track / at-risk / off-track) — over the Model Context Protocol. CRUD bridges to Odoo already exist; this is the analytics layer that sits on top.
    31
    54 PyPI
    1
    MIT
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    AI connector for Odoo ERP enabling natural language interaction to search, create, update, and manage business records.
    85
    Elastic 2.0
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    Enables 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.
    13 npm
    AGPL 3.0
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    Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.
    1
    41 npm
    MIT
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    Enables pushing enriched leads into Instantly or Smartlead campaigns with ICP score gating, deduplication, and dry-run previews via an Apify actor.
    1
    48 npm
    MIT
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    MCP server for Kingdee K3Cloud ERP that enables AI assistants to query and operate ERP data via natural language through the Model Context Protocol.
    15
    146 PyPI
    90
    Apache 2.0
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    license
    B
    quality
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    maintenance
    Enables AI assistants to control any Odoo database via XML-RPC, with features for reading, writing, importing/exporting data, and generating intervention reports.
    32
    MIT
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    Deterministic Odoo ERP calculators: implementation, migration and upgrade cost, ROI and TCO, US/Canada/EU sales tax and VAT, Canadian payroll source deductions, and inventory maths (reorder point, safety stock, EOQ, landed cost, OEE). 24 tools, each a pure function, the numbers are arithmetic rather than a model's guess. Hosted remote server, no install and no API key; a stdio bridge is included
    24
    MIT
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    Enables converting Markdown and HTML tables into structured JSON records with automatic column type inference and format normalization. It also offers supporting web-agent primitives such as DOM semantic pruning, form field auto-mapping, and execution trajectory evaluation, all via a zero-dependency MCP server.
    7
    MIT
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    Enables agents to break high-level business objectives into dependency-ordered sub-task graphs and then directly generate the finished deliverables, such as financial spreadsheets, executive presentations, and analytical reports. It runs as a zero-dependency Python MCP server over JSON-RPC stdio, adding deterministic authorization, role-boundary validation, and telemetry.
    7
    MIT