Topic Pillar

Model Context Protocol.The open standard that gives LLMs real tools.

MCP is the protocol that turns an LLM into an agent. It defines how a model discovers tools, calls them, streams results back, and authenticates against your systems. With 1.0 ratified and a remote-server registry of 500+, this is no longer an experimental layer.

6 cluster pages· 2 posts· 1 notes· 3 updates

What MCP solves

Before MCP, every team invented their own tool-call protocol. After MCP, you write a server once and any compliant model client can use it — Claude, GPT, local models. The wins compound: one shared auth profile, one discovery handshake, one schema format.

When to build your own server

Build an MCP server when you have a domain-specific tool that needs to be reused across agents — ticketing, billing, internal search. Use a public server when the integration already exists and is curated. Skip MCP entirely for one-off scripts; the protocol overhead is real if you only ever call one tool once.

The cost of an over-loaded registry

Every registered tool adds ~8–12 KB of schema overhead to every API call, plus selection noise that hurts accuracy. Audit your registry: anything not called in the last 30 days, drop from the default load.

1 carousel note

Visual breakdowns on Model Context Protocol (MCP)

3 ship-news updates

Latest in Model Context Protocol (MCP)

MCP

MCP remote-server registry crosses 500 listed servers — a curated production-ready tier emerges

May 12, 2026 · via modelcontextprotocol.io
Architecture

GitHub cuts agentic CI workflow costs 19-62% by pruning tools and moving data-fetch outside the LLM loop

May 11, 2026 · via GitHub Engineering Blog
MCP

MCP 1.0 ratified — official SDKs in Python, TypeScript, Go, Rust, Java, .NET

May 2, 2026 · via modelcontextprotocol.io
Frequently asked

Model Context Protocol (MCP) — the questions teams actually ask