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  • F
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    Enables live read-only queries against SAP EWM CDS views and standalone inventory-math calculators (ABC/XYZ classification, safety stock, reorder point, slow-moving detection, demand forecasting).
    9
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    quality
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    Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing all OData services as dynamic MCP tools. Enables natural language interactions with ERP data including querying, creating, updating, and deleting entities through SAP BTP integration.
    19
    56
    6
    MIT
  • A
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    MCP server that wraps the BambooHR API v1, allowing AI agents to list employees, retrieve employee details, directories, time-off requests, and employee files.
    8
    MIT
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    Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing OData services as dynamic MCP tools. Enables natural language interactions with ERP data for querying, creating, updating, and deleting business entities.
    56
    1
    MIT
  • A
    license
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    quality
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    maintenance
    Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing all OData services as dynamic MCP tools. Enables natural language interactions with ERP data for querying, creating, updating, and deleting business entities through SAP BTP integration.
    56
    128
    MIT
  • A
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    quality
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    An implementation that integrates with Odoo ERP systems, enabling AI assistants to interact with Odoo data and functionality through the Model Context Protocol.
    MIT
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    Enables AI assistants to interact with Odoo ERP systems through XML-RPC integration. Provides access to Odoo models, records, employee search, holiday management, and custom method execution via the Model Context Protocol.
  • F
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    Enables AI assistants to search and analyze Microsoft Dynamics 365 Finance & Operations artifacts, read local source code, and generate context-aware solutions through natural language.
    86
    11
  • F
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    quality
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    maintenance
    A robust, asynchronous Model Context Protocol (MCP) server that securely connects LLMs to your ERPNext instance (Self-Hosted or Frappe Cloud) via its REST API.
  • A
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    quality
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    maintenance
    A read-only MCP server that transforms Deputy workforce records into operational workflows, enabling AI assistants to answer questions about coverage gaps, overtime risk, timesheet exceptions, availability conflicts, and staffing summaries.
    5
    36
    MIT
  • A
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    quality
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    Enables Claude to securely interact with Acumatica ERP 2025 R2 via per-user OAuth, role-based access, and sensitive field redaction, providing 48 tools for data lookup, utility, and schema discovery.
    Apache 2.0
  • A
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    quality
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    maintenance
    The complete agent surface for Jaz accounting, providing 284 MCP tools and domain knowledge for AI agents to handle accounting tasks.
    1,643
    5
    MIT
  • A
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    quality
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    Enables AI clients to query live data from SAP HANA and SQL databases through read-only SELECT queries with CSV-formatted results.
    MIT
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    Exposes 48 SAP Ariba APIs as Claude-compatible tools for managing procurement, sourcing, supplier management, and supply chain data. It enables AI agents to interact with contracts, catalogs, and business network transactions through natural language.
    MIT
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    An enterprise-grade MCP server that enables AI agents to execute SAP RFC functions and read business data securely through the Model Context Protocol.
  • A
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    Enables Claude to interact with Acumatica ERP through a remote MCP server with per-user OAuth, role-based access, and 44 tools for querying and managing ERP data.
    16
    Apache 2.0
  • A
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    A read-only MCP server that enables AI assistants to query Odoo instances via XML-RPC, supporting search, read, count, and field inspection without requiring custom modules.
    1
    Mozilla Public 2.0
  • A
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    quality
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    Enables natural language interactions with Salesforce, allowing users to query and modify data, manage custom objects and fields, execute Apex code, and perform SOQL/SOSL searches across Salesforce organizations.
    1,909
    MIT