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"Connecting to Odoo ERP System" matching MCP servers:

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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.
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    MIT
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    An MCP server implementation that integrates with Odoo ERP systems, enabling AI assistants to interact with Odoo data and functionality through the Model Context Protocol.
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    MIT
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    An MCP server that enables AI assistants to interact with Odoo ERP apps like Inventory, CRM, Sales, and Manufacturing. It allows users to read, create, and manage Odoo records and workflows using natural language commands.
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    ISC
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    Connects MCP clients like Claude to your Odoo ERP, enabling natural language queries, reports, and optional data modifications.
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    MIT
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
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    Apache 2.0
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    MCP server for querying inventory items and stock levels via internal API, enabling AI chatbots to look up product codes and current quantities.
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    Enables Claude to interact with System Task projects, teams, and tasks, providing daily briefs, project reports, team load, and risk identification, as well as creating and updating tasks and demands.
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    MIT
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    Connects AI assistants to Odoo 19.0, enabling full CRUD operations and method calls on any Odoo model via API key or username/password authentication.
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    LGPL 3.0
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    Enables AI agents to search and retrieve details about Odoo code elements (models, fields, views, etc.) with exact file locations using MCP tools.
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    MIT
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    MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.
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    Apache 2.0
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    Read-only MCP tools for coding agents to audit deployment targets, detect fabricated code, review backlog, database schema, analytics, ML models, architecture docs, and decision lenses.
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    MIT
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    A fully modular RAG system with MCP protocol integration, enabling hybrid retrieval, multimodal support, and dual-mode transport for connecting to AI assistants like GitHub Copilot and Claude Desktop.
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    MIT
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    A secure, read-only MCP server for AI-powered system monitoring. It provides real-time OS metrics, config discovery, and safe log tailing to enable autonomous infrastructure audits without shell access risks.
    4
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    Provides system hardware information (CPU, memory, storage, etc.) and system status (OS, network, resource usage) via MCP tools.
    2
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    ISC