"Connecting MCP Servers to a Local Project" matching MCP servers:

Enables MCP clients to query and manage basketball-equipment inventory, customers, sales orders, and pricing through four secured domain-specific endpoints using Okta authentication.

Turns any OData V2 or V4 service, SAP Gateway included, into MCP tools that AI clients such as Claude, ChatGPT, Copilot, and Cursor can call without code by reading $metadata. It lets models discover entity sets and fields, then query services through built-in read-only tools.

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.

Connect Claude to your IFS Cloud instance and interact with your ERP through natural conversation.

Enables AI agents to securely plan and manage projects, tasks, stages, planning, subtasks, milestones, tags, chatter comments, statuses, and timesheets in an Odoo 17 Project application via XML-RPC, with project-scoped access control.

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.

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.

Enables an AI agent to read and query SAP OData services and SAP Business One Service Layer data such as business partners, products, items, sales and purchase orders, and invoices, plus gated creation and updates. Writes are disabled by default, support dry-run payload preview, and are verified by an independent read-back, with credentials kept out of tool arguments and local mocks allowing the whole stack to be exercised without a SAP account.

This MCP server enables managing projects, tasks, subtasks, private tasks, and image attachments in Odoo 19 through natural language.

MCP server for Arbisoft's ERP system, enabling AI assistants to read and write project time logs via OAuth-authenticated tool calls.

An MCP Server that provides access to Personio's HR and personnel data through the Personnel API, allowing interaction with employee records, HR systems, and personnel management functions.

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.

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.

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

Enables natural-language querying and authenticated CRUD operations against SAP S/4HANA or ECC OData services through dynamic MCP tools with progressive service and entity discovery.

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

MCP Server to communite with the Procore API

A read-only MCP server that connects Claude Desktop to TallyPrime, enabling natural-language auditing and analysis of accounting data directly from the local Tally installation.

MCP server that validates and writes DATEV-Format (EXTF) files: Buchungsstapel (booking batches) and Debitoren/Kreditoren (customer and supplier master data). Ask your AI assistant why DATEV rejected an import, or have it turn a list of bookings into a file DATEV accepts.