Advanced tool for testing MCP APIs with history tracking, saved endpoints, and powerful debugging features. Streamline your development workflow with this comprehensive testing solution developed by Flowxtra and Dpro.
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Manage your frequently used API endpoints for quick access.
Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). Think of MCP as the "USB-C for AI"—it lets you connect your AI models to any data source or tool in a secure, flexible, and vendor-neutral way. Learn more on the official MCP website.
General Architecture: MCP uses a client-server model where hosts (like IDEs or AI tools) connect to MCP servers that expose resources, tools, and prompts. This enables seamless integration between your data, your tools, and your AI models.
It is a visual tool used to manage and filter job applicants, aiming to track the hiring process and facilitate the selection of the best candidate for a position. Applicants are organized into columns such as "Screening," "Active Process," "Offer," and "Hiring," helping HR teams collaborate efficiently, prioritize candidates, and make faster decisions.
These columns can be customized to fit the organization's needs by renaming or rearranging them according to their recruitment workflow.
Flowxtra offers real-time data visualization, intuitive controls, and seamless navigation, empowering users to make data-driven decisions quickly and efficiently.
A leading software development and AI/IoT solutions company based in Vienna, Austria. Dpro empowers businesses with advanced technology, innovation, and digital growth.
Dpro GmbH
An AI-powered recruitment platform that streamlines hiring, job management, and candidate screening. Flowxtra offers free job posting, API integrations, and smart automation for modern HR teams.
Flowxtra GmbH