"Enhancing Output: Tips and Strategies to Improve Results" matching MCP servers:

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.

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.

Enables MCP clients to automate the complete SAP Business One sales cycle, from quotations and orders through deliveries, invoicing, incoming payments, and collections via Service Layer.

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.

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

An implementation that integrates with Odoo ERP systems, enabling AI assistants to interact with Odoo data and functionality through the Model Context Protocol.

Provides MCP tools for searching, reading, and drafting Gmail emails, as well as querying SAP OData endpoints with safe read operations and mock mode.

MCP server that exposes SIIGO Pyme to AI agents, wrapping EXCELSIIGO.exe to provide 47 import/export functions as MCP tools with automatic company discovery and JSON-parsed results.

Enables AI assistants to manage Gerent365 restaurant and business operations via natural language, including employees, schedules, payroll, tips, time tracking, customers, products, reservations, and reports.

Enables interaction with SAP ABAP systems via ADT APIs, allowing management of ABAP objects, transport requests, and code analysis through MCP clients.

Enables AI clients to query live data from SAP HANA and SQL databases through read-only SELECT queries with CSV-formatted results.

This MCP server gives AI assistants over business data a provenance layer: every number in an answer traces back to specific records, auditable and tamper-evident. It enforces that the model never generates figures—only selects operations whose results are computed deterministically in SQL.

MCP server for METRC cannabis track-and-trace API, focused on processor workflows like inventory checks, transfer reconciliation, and lab results, with read-only safety defaults.

Enables LLMs to interact with MGMU Juno ERP, providing tools to fetch student profile, attendance, fees, schedule, results, and search students.

Enables pulling public Oracle Fusion Recruiting and Taleo career-site job postings as structured JSON, including locations, skills, pay ranges, and apply URLs. It also supports career-site discovery, scheduled new-posting monitoring, and Markdown output for AI assistants.

A Python MCP server that provides access to ssOtica's consulting APIs for managing sales, services, finances, and inventory data, outputting results to CSV.

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.

The complete agent surface for Jaz accounting, providing 284 MCP tools and domain knowledge for AI agents to handle accounting tasks.

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.

An enterprise-grade MCP server that enables AI agents to execute SAP RFC functions and read business data securely through the Model Context Protocol.