"Information about Redpanda Connect" matching MCP connectors:

No account needed — connect, sign up, and query mobile attribution data from any AI tool

Connect engineering metrics, DORA performance, and deploy risk scoring to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.

Connect Google Analytics to ChatGPT. Query GA4 data in plain English and get instant insights.

Look up DNS information for any domain to troubleshoot issues and gather insights. Get fast, relia…

The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.

Furgonetka MCP Server is an extension for LLMs (such as Claude) that integrates AI assistants with Poland's most popular courier brokerage platform. The server enables models to interact directly with services from various couriers (including InPost, DPD, DHL, UPS, and Poczta Polska) through a single, unified interface. With this integration, your AI stops just "writing about logistics" and starts actually managing it.

Evidence-governed screening of material decisions about physical assets and operational systems.

Open-source MCP server for Zerodha Kite Connect. Portfolio, market data, backtesting, alerts.

Connect AI assistants to Xitoring monitoring: servers, uptime, incidents, metrics, SSL, and alerts.

Connect, monitor, and control AI agents — tasks, approvals, schedules, and governance.

The Polar Signals MCP server enables AI assistants to connect directly with performance profiling data, allowing users to analyze application performance through natural language queries. Key capabilities include querying CPU performance and memory usage, exploring profiling metadata like profile types and labels, and providing AI-driven code optimization suggestions directly within development environments like Claude Code or Cursor.