"Resources for Designing User Interfaces (UI)" matching MCP servers:

A read-only MCP server for Anaplan that exposes 5 tools for business users to explore data through an AI assistant, with session caching and metadata gating.

A proof of concept MCP server for Apache OFBiz

Provides interactive tools to explore AFAS customer data and employee leave information, including bubble charts, leave balance reports, and detailed leave cards.

Enables users to ask natural-language questions about live 1C:Enterprise data and receive answers from read-only OData sources, covering sales, inventory, items, and counterparties; supports direct connections or an SSH tunnel for IP-allowlisted installations.

MCP server giving Claude (and any MCP-compatible client) live access to SAP systems via ADT for reading, searching, editing, and activating ABAP objects.

Exposes Dynamics 365 Business Central data to MCP clients via standard v2.0 API or custom AL APIs, supporting read, write, and destructive operations with multiple authentication modes.

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.

Enables AI assistants to interact with Odoo ERP systems, letting them search, create, update, and delete business records, run aggregations, invoke business workflow methods, and fetch binary attachments through natural language. It supports API key or username/password authentication, smart field selection, pagination, and multi-language responses.

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.

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.

Enables AI-powered manufacturing operations analysis and automated report generation from SAP DMC, with direct delivery to MS Teams.

TallyPrime MCP server for CA firms and accountants: reads trial balance, outstandings with ageing, vouchers, and purchase and sales registers on your own computer. Posting is off by default; when on, you approve each voucher. Windows and Apple Silicon Mac.

Enables employees, approvers, and admins to register and manage time, view balances, cases, employees, and planning through Visma Intempus, with per-user scoping and fail-closed identity.

Provides complete MCP access to Wave Accounting, enabling AI assistants to manage invoices, payments, customers, and bookkeeping via natural language.

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.

Exposes SAP OData v4 actions as AI-callable tools, enabling natural language scheduling of background jobs.

Enables AI clients to securely access and query Microsoft Dynamics 365 data through natural language, supporting data analysis, reporting, and business workflows.

Enables an MCP client such as Claude Code to run financial reports, query records, and create, update, void, delete, deactivate, email, or attach records in a company's QuickBooks Online books through the Accounting API. It runs locally over stdio with read and write tools separated, dry-run previews, an optional read-only mode, and a local audit log so the owner stays in control of every change.

Enables AI assistants to interact with Odoo ERP systems through natural language to search records, create entries, update data, and manage business operations. Supports secure authentication and configurable access controls for production environments.

Enables AI assistants to securely access and query QuickBooks Online accounting data through natural language, translating requests into structured queries and returning results for analysis, reporting, and financial workflows.