MCP server for querying employee data via tools like get_employees and get_employee_by_id. Serves as a proof-of-concept for integrating Pega applications with AI agents.
Enables MCP clients to interact with the Crewmeister API over local stdio, covering operations for members, teams, time tracking, salary exports, and related platform resources.
Enables conversational agents to query and create orders via MCP tools, including retrieving full order details, checking current status, and creating new customer orders.
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.
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.
MCP server that provides mock APIs and deterministic seed data for ERP/OMS, WMS, and CRM systems, enabling supply chain data exploration and integration testing.
Exposes internal company services as LLM-callable MCP tools, enabling AI agents to perform business operations like customer management, order processing, and support ticketing through natural language.
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 assistants to explore and query SAP BW/4HANA modeling objects and metadata, such as InfoAreas, InfoObjects, ADSOs, CompositeProviders, and Queries.
A Model Context Protocol server that facilitates seamless communication between ABAP systems and MCP clients for managing ABAP objects, transport requests, and code analysis. It acts as a wrapper for the ABAP ADT API to enhance the efficiency of ABAP development workflows.
An MCP server that facilitates seamless interaction with SAP ABAP systems to manage development objects, transport requests, and source code. It provides a comprehensive suite of tools for performing syntax checks, object searches, and code modifications via the ADT API.
Enables AI assistants to manage employee data through a REST API with full CRUD operations. Provides tools to create, read, update, and delete employee records via the Model Context Protocol.
MCP server giving Claude (and any MCP-compatible client) live access to SAP systems via ADT for reading, searching, editing, and activating ABAP objects.
Ontology-driven multi-agent platform that encodes business policy as code, enabling deterministic decision-making and multi-domain agent collaboration without code redeploy.
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.