MCP

Open-source AI agent built in Rust, now governed by the Agentic AI Foundation at the Linux Foundation. Desktop app, CLI, and API. 15+ model providers, 70+ MCP extensions.

Headroom is a context compression layer that intercepts your AI agent's tool outputs and strips 60-95% of the tokens before they hit the model - with benchmarked accuracy preserved.

Before an AI agent gets tools, files, APIs, MCP servers, or deployment access, decide what it can read, write, call, log, and roll back.

Prompt injection stops being an abstract LLM risk once an agent can call tools. The practical defense is data boundaries, structured handoffs, tool guardrails, and approval gates around side effects.

Anthropic's knowledge-work plugin repo is trending because it packages skills, connectors, slash commands, and sub-agents around job functions. The interesting shift is from personal prompts to team-distributed operating systems.

Anthropic's Stainless acquisition is not just an SDK deal. It is a bet that agents need generated SDKs, CLIs, docs, and MCP servers from the same source of truth.

AgentMemory gives Claude Code, Codex, Cursor, and other agents persistent local memory. The real adoption question is not recall accuracy. It is whether your team can inspect, prune, and govern what gets remembered.

Open-source terminal agent runtime with approval modes, rollback snapshots, MCP servers, LSP diagnostics, and a headless HTTP API. Uses DeepSeek models by default.

A complete, citation-backed Claude Code course with setup, prompting systems, MCP, CI, security, cost controls, and capstone workflows.

Claude Code 2.1.128 is full of small fixes around MCP, worktrees, OTEL, plugins, and permissions. That is exactly why it matters for teams running agents every day.

Efficient agents do not stuff every tool result into the model context. They keep intermediate state in code, files, and execution environments, then return compact summaries and receipts.

Claude Code is turning into an orchestration layer for agent teams. Here is how subagents, MCP, hooks, and long context fit together in 2026.

Most agent tool APIs are just REST endpoints with nicer names. Production agents need intent-shaped tools that compress workflows, reduce context, and return reviewable receipts.

Apps SDK extends MCP with UI. Here is how to ship a real Apps SDK app from scratch: logic, interface, deploy, distribution, and the gotchas that cost me a weekend.

Build MCP servers that connect Claude to your databases, APIs, and tools. Architecture, TypeScript SDK code, debugging, and the production gaps the spec doesn't cover.

The MCP ecosystem crossed 22,000 servers in early 2026. Most are noise. Here are the open-source servers that have earned a permanent slot in our config, with copy-paste setup for Claude Code, Cursor, and Codex.

Hospitals still ship HL7 v2 pipes between systems in 2026. Here is how to wire Claude Code as a careful, HIPAA-aware migration agent that takes them to FHIR.

Five worked examples showing how the new Developers Digest products plug into each other. Real agent filesystems, auto-snapshots, gated skill libraries, eval suites, and a recursive MCP host.

Zilliz's Claude Context MCP gives coding agents semantic code search, but the real question is whether retrieval makes agent work more reviewable, cheaper, and easier to verify.

MCP servers are stdio-only black boxes. MCP Lens proxies the JSON-RPC stream, captures every frame, and serves a local inspector at localhost:4040.