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"Methods to Store and Learn Dynamic Context Memories" matching MCP servers:

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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.
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    19
    48
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    MIT
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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 for querying, creating, updating, and deleting business entities through SAP BTP integration.
    Last updated
    48
    128
    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.
    Last updated
    48
    1
    MIT
  • A
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    Provides interactive tools to explore AFAS customer data and employee leave information, including bubble charts, leave balance reports, and detailed leave cards.
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    169
    MIT
  • A
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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.
    Last updated
    MIT
  • F
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    Provides MCP tools for searching, reading, and drafting Gmail emails, as well as querying SAP OData endpoints with safe read operations and mock mode.
    Last updated
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    Enables natural language interactions with Salesforce data and metadata, supporting queries, data manipulation, custom object/field management, Apex code operations, and debug logging across multiple authentication methods.
    Last updated
    15
    2,067
    MIT
  • F
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    MCP server for managing store replenishment, including listing stores, raising orders, checking order status, and viewing SKU reports with observability and key rotation handling.
    Last updated
    4
  • A
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    A Model Context Protocol server for the Gomag Public API that provides 48 typed MCP tools for managing products, orders, customers, shipping, invoices, and more in a Gomag e-commerce store.
    Last updated
    48
    3
    MIT
  • A
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    A Model Context Protocol server that enables LLMs to securely interact with Alegra accounting API, allowing operations on invoices, contacts, and items data.
    Last updated
    1
    14
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    ISC
  • A
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    Connect Gemini CLI to any ObjectStack deployment over the Model Context Protocol to discover objects, query and change records, and run business actions under your own permissions and row-level security.
    Last updated
    Apache 2.0
  • A
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    Enables AI assistants to interact with ERPNext data and functionality through the Model Context Protocol, including document CRUD, report running, and API method calls.
    Last updated
    MIT
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    Enables AI models to securely interact with Frappe Framework/ERPNext instances, supporting document CRUD, RPC methods, file management, workflows, reporting, and more via the Model Context Protocol.
    Last updated
    45
    ISC
  • A
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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.
    Last updated
  • A
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    A Model Context Protocol server for KikoBooks enterprise bookkeeping software that enables AI assistants to perform accounting operations on accounts, customers, invoices, bills, and more through natural language.
    Last updated
    MIT
  • A
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    A Model Context Protocol server for the FreeAgent accounting API, enabling LLMs to manage contacts, invoices, estimates, bills, expenses, timeslips, projects, tasks, bank accounts, and more.
    Last updated
    24
    9
    MIT
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    Enables AI assistants to interact with Odoo ERP systems through XML-RPC to manage records, search for employees, and track holidays. It provides comprehensive access to Odoo models and methods, allowing users to query data and execute custom functions via the Model Context Protocol.
    Last updated
    MIT