Technology
MCP
MCP is the open-source standard for securely connecting AI agents (like LLMs) to external tools, data, and enterprise workflows.
The Model Context Protocol (MCP) functions as a standardized integration layer: think of it as a USB-C port for AI applications. Developed and open-sourced by Anthropic, this protocol allows large language models (LLMs) to access real-time context and execute actions via external tools like GitHub, Jira, or proprietary databases . It uses a simple JSON-RPC interface to define tools, schemas, and endpoints, which enables AI agents to perform complex, state-changing tasks—such as creating a GitHub issue or running a test script—rather than just generating text . MCP is essential for building agentic AI systems that can autonomously pursue goals and operate within defined safety and permission boundaries .
What builders pair with MCP
Projects using both technologies. Select a pairing to see a project.
12 more pairings
Pairing: Claude Code
Goals MCP for preventing agents from reporting "Fake Done"
Pairing: TypeScript
What if loops are the problem?
Pairing: Claude
What if loops are the problem?
Pairing: Python
How I built a Multi-Agent system from scratch
Pairing: OpenAI API
How I built a Multi-Agent system from scratch
Pairing: Gemini
Agents write the code, phones approve the merge: device-in-the-loop CI for AI-built mobile apps
Recent Talks & Demos
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