"Information about Redpanda Connect" matching MCP servers:

An Obsidian plugin that runs an MCP server, enabling AI agents to read, edit, search notes, and run Dataview queries in your vault.

Enables agents to read, analyze, and edit Google Docs, Sheets, Drive files, and local folders with previews, rollback, and clarification, while supporting MCP clients, local models, and API-key-based models.

MCP server for Jama Connect that enables AI assistants to interact with Jama requirements and test management through MCP tools, a REST API, and a built-in viewer.

Enables AI agents to resolve social handles to wallet addresses, check reputation scores, and send tokens directly from any MCP-compatible client.

Provides integrated control capabilities for LG ThinQ devices including status monitoring, device control, and profile information through a Model Context Protocol server.

A Model Context Protocol (MCP) server that connects Cursor, Claude Desktop, and other MCP clients to the official App Store Connect API—so you can manage iOS/macOS apps, TestFlight, in-app subscriptions, and store metadata via chat or automated tool calls.

Enables management of iOS/macOS apps, TestFlight builds, app metadata, analytics, and more through natural language interactions with Apple Store Connect API.

A Model Context Protocol server that enables natural language interaction with the Coverity Connect static analysis platform, allowing users to manage projects, analyze snapshots, and generate security reports through AI-powered interfaces.

Connects Garmin Connect data to MCP-compatible clients, providing access to fitness activities, health metrics, and training plans. It supports advanced features like headless 2FA and automated MFA retrieval to enable seamless health data interaction through natural language.

Enables AI assistants to access App Store Connect data including financial metrics, subscription analytics, app performance data, and revenue insights. Provides real-time iOS app metrics through secure API integration with rate limiting and comprehensive reporting capabilities.

A Model Context Protocol server that exposes the entire Apple App Store Connect API (1,200+ operations) as MCP tools, enabling AI assistants to query apps, manage builds, handle submissions, read analytics, and more.

Enables connection to PostgreSQL databases for EC solution platforms to query and manage e-commerce data including orders, members, and other business information. Provides tools for direct SQL execution, table structure analysis, and specialized e-commerce data retrieval functions.

Enables querying and managing Apple App Store Connect resources such as apps, builds, TestFlight groups, reviews, sales reports, and more through MCP tools, with support for multiple Apple accounts and both remote and local deployment modes.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Enables interaction with Apple's App Store Connect API through natural language to manage apps, beta testing, localizations, analytics, sales reports, and CI/CD workflows for iOS and macOS development.

Enables managing your iOS app's entire lifecycle with natural language through App Store Connect, offering 48 tools across 14 categories for ASO, reviews, analytics, subscriptions, pricing, and more.

An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.

Soprano Connect MCP Server enables you to build AI agents that can communicate, engage customers, and manage communications workflows through the Soprano Connect platform using the Model Context Protocol (MCP).

Enables read-only access to Garmin Connect health, activity, profile, and device data through local stdio or streamable HTTP transports for MCP clients.

Universal MCP server for readonly-first access to Oracle, SQL Server, PostgreSQL, MySQL/MariaDB, SQLite, MongoDB, and Qdrant vector search.