"Integrating Automated Payment Systems" matching MCP servers:

Enables AI assistants to handle payment support tasks by orchestrating between Stripe and an internal orders database, with human approval required for refunds.

Provides access to 1,709 Icelandic statutes and 19,026 provisions with full-text search, citation validation, and EU/EEA law integration, enabling legal research and compliance checks through natural language queries.

Enables AI assistants to interact with Inflow Inventory API for managing ingredients/products and inventory operations. Supports product creation, updates, search, and stock adjustments through natural language commands.

MCP server integrating with Odoo ERP systems, enabling AI assistants to interact with Odoo data and functionality through tools and resources.

Enables AI clients to scan for a subject's records across Postgres, MongoDB, and payment systems, assess blast-radius risk, and execute deletion or anonymization only after explicit human approval. Every mutation is snapshotted for rollback and recorded in a SHA-256 hash-chained, tamper-evident audit log.

Provides AI agents with database-like operations over LanceDB with automatic BGE-M3 multilingual embedding generation, enabling semantic search, CRUD operations, and safe schema migrations across structured data.

MCP-based production monitoring agent for manufacturing OEE, providing real-time monitoring, downtime root-cause analysis, and automated alerts through integration with SQL Server, MES APIs, and incident management systems.

IBAN validation across 89 countries, BIC/SWIFT and Swiss clearing lookup, batch validation, payment-reference, postal-address and Swiss QR-bill checks for AI agents. Connect via MCP or the REST API. Includes free quotas, paid credits and a Pro subscription. SEPA and country-risk indicators support payment-data checks; they do not confirm account ownership or replace beneficiary AML/KYC screening.

Enables interaction with SAP S/4HANA systems via OData, allowing service discovery, metadata exploration, field value retrieval, and CRUD operations through natural language.

An MCP server that enables automated analysis and conversion of SSIS packages into Azure Data Factory JSON artifacts directly through GitHub Copilot. It streamlines ETL modernization by detecting complex patterns, translating script tasks, and generating production-ready pipelines following Microsoft best practices.

This MCP server enables database migration between heterogeneous systems (Oracle, PostgreSQL, SQL Server, Netezza to PostgreSQL or SQL Server) through AI assistants by providing tools for command preview, execution, validation, and workflow suggestions.

Enables MCP clients to connect to SAP ABAP systems via ADT, retrieving source code, table structures, and other development information through read-only tools.

Enables automated schema management for Baserow, including creating, updating, and deleting tables and fields, with built-in 2FA TOTP authentication.

Enables MCP clients to connect to SAP ABAP systems and retrieve development information such as source code and table structures.

A Python-based MCP server for interactive PostgreSQL data exploration, schema discovery, and safe SQL execution with support for stored procedures. It also enables automation through external HTTP API requests and local bash script execution on Fedora and Linux systems.

Enables comprehensive analysis of CSV files and SQLite databases through tools for statistics, correlations, anomaly detection, pivot tables, time series analysis, visualization, and automated insights discovery.

An MCP server that lets Claude query a mock business SQL database in plain language through read-only tools, with server-side guardrails that enforce SELECT-only queries and block access to sensitive payment data.

An MCP server that provides knowledge about Coordinate Reference Systems (CRS).

An MCP server providing access to XRootD file systems, allowing LLMs to browse directories, read file metadata, and access contents via the root:// protocol. It supports advanced features like campaign discovery, file searching, and ROOT file analysis for scientific data management.

Enables AI agents to interact with 1С:Enterprise and BAS ERP systems through REST and HTTP services, providing tools for searching catalogs, creating documents, and querying stock balances.