Technology
MCP servers
MCP Servers (Model Context Protocol) standardize bi-directional communication, connecting Generative AI agents to external enterprise data and tools with secure, low-latency interfaces.
MCP Servers are the critical bridge for agentic AI: they implement the Model Context Protocol, an open standard developed by Anthropic, to expose specific capabilities to AI applications. These servers manage data communication, ensuring LLMs access fresh context from source systems like databases or file systems, maintaining conversational latency for real-time responses. They operate using a client-server model, utilizing JSON Schema for tool validation, enabling agents (e.g., Claude, GitHub Copilot) to execute complex, multi-step tasks like querying a PostgreSQL database or managing a GitHub pull request, all through a single, standardized interface.
What builders pair with MCP servers
Projects using both technologies. Select a pairing to see a project.
12 more pairings
Pairing: Python
Conversation as a Signal Query Engine - HQIQ Maestro
Pairing: Claude Code
Eliminating Waste in the AI Augmented SDLC
Pairing: MCP
Conversation as a Signal Query Engine - HQIQ Maestro
Pairing: Playwright
Eliminating Waste in the AI Augmented SDLC
Pairing: Amazon Kinesis
Investment Research Assistant
Pairing: Apache Kafka
Investment Research Assistant
Recent Talks & Demos
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