Skip to main content
Glama
80,911 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"RAG (Retrieval-Augmented Generation) MCP Integration for ChatGPT" matching MCP servers:

GET /v1/servers — MCP directory API reference
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables interaction with SAP Integration Suite for designing, creating, and managing integration artifacts including integration flows, message mappings, packages, and B2B trading partner relationships through AI-powered natural language commands.
    29
  • F
    license
    Not graded
    quality
    B
    maintenance
    An MCP server for SAP Integration Suite that enables managing integration packages, IFlows, message mappings, and TPM artifacts through natural language, with tools for creation, deployment, and monitoring.
  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables ChatGPT to interact with Odoo by providing tools for repository management, git operations, Odoo.sh management, Odoo RPC, browser screenshots, and approval workflows.
  • A
    license
    A
    quality
    A
    maintenance
    Provides complete MCP access to Wave Accounting, enabling AI assistants to manage invoices, payments, customers, and bookkeeping via natural language.
    30
    175
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables natural language interactions for creating, querying, updating, and deleting job plans in IBM Maximo.
    4
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    MCP server giving Claude (and any MCP-compatible client) live access to SAP systems via ADT for reading, searching, editing, and activating ABAP objects.
    277
    13
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI assistants to interact with Odoo ERP systems through natural language, allowing users to search, create, update, and manage business records like customers, products, and invoices across any Odoo instance.
    1
    Mozilla Public 2.0
  • A
    license
    Not graded
    quality
    A
    maintenance
    An MCP server that enables AI assistants like Claude to interact with Odoo ERP systems through natural language, allowing users to search, create, update, and manage business data in their Odoo instance.
    379
    Mozilla Public 2.0
  • A
    license
    Not graded
    quality
    A
    maintenance
    A local MCP server that exposes QuickBooks Online data and actions as callable tools for AI assistants, supporting entities like customers, invoices, bills, and financial reports.
    4
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    Schema-aware MCP server for Accurate Online, providing tools to list resources, lookup endpoint schemas, make authenticated API calls, and refresh database host resolution.
    2
  • F
    license
    A
    quality
    B
    maintenance
    This MCP server enables users to ask natural-language questions about their QuickBooks Online company and receive answers from its live data, with read-only access guaranteed by construction. It runs entirely locally, using tools for receivables, payables, profit/loss, balance sheet, and custom queries.
    8
  • A
    license
    A
    quality
    B
    maintenance
    An MCP server that lets AI models interact with Oracle Fusion Cloud HCM across its entire REST surface. It uses generic, schema-aware tools to dynamically discover licensed modules and resources without per-endpoint code.
    6
    Apache 2.0
  • A
    license
    A
    quality
    B
    maintenance
    A version-agnostic MCP server for Odoo that enables AI agents to interact with any Odoo app's data, schema, and source code, supporting tasks like data CRUD, schema mapping, code analysis, and feature implementation.
    14
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides interactive tools to explore AFAS customer data and employee leave information, including bubble charts, leave balance reports, and detailed leave cards.
    168
    MIT