Plugin
Model Context Protocol
Protocol for communicating between LLMs and applications · Plugin · Runs on Cross-platform
Made by Anthropic
MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems.
Official page: modelcontextprotocol.io (opens in a new tab)
Sourced from
- modelcontextprotocol.io
“MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems.”
- Wikipedia
“The Model Context Protocol (MCP) is an open standard and open-source framework introduced by Anthropic in November 2024 to standardize the way artificial intelligence (AI) systems like large language models (LLMs) integrate and share data with external…”
Named in 7 pieces
Agent Infrastructure
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AI Lately graded Greg Isenberg's 21 San Francisco observations as hard or soft trends, each backed by three statistics and a chart.
Safety & Security
Disclosures and Dollars: Saturday's Signal
Anthropic's late warning to Philadelphia draws a federal mandate the same week OpenAI fires three safety researchers, while Nvidia, Ramp, Mistral and Manus keep AI's money moving regardless.
Agent Infrastructure
Inference Economics: Gartner's 96 Percent
Gartner projects AI-optimized cloud infrastructure spending to nearly double in 2026 even as per-token prices keep collapsing, a paradox that inference specialists and reasoning researchers are racing to resolve.
Agent Infrastructure
The Interoperability Layer: MCP and A2A
Anthropic's Model Context Protocol and Google's Agent2Agent protocol left single-company control for the Linux Foundation within roughly a year, assembling every major AI lab under one governance roof.
Agent Infrastructure
Machines With Money: Agent Payments Arrive
Mastercard, Visa, Stripe, Google, and Coinbase built five competing rails for agent payments inside fifteen months, and their overlapping partner rosters reveal a single converging standard taking shape.
Agent Infrastructure
The Agent Runtime Wars
OpenAI, Anthropic, Google, Microsoft, and the open-source LangChain ecosystem each shipped a competing agent-runtime abstraction within one year, leaving orchestration itself, ahead of the underlying protocol, as agentic AI's real lock-in layer.