Topic
Model Context Protocol - building MCP servers, integrations, and extending AI tools.
83 resources - 54 posts, 13 tools, 16 guides

Skills gave an agent what to know. The missing half is what role to play. Agent Studio lets you author subagents next to your skills in one place, serve both over the same MCP endpoint with the same progressive disclosure, browse them over REST and the dd CLI, and publish them to the community under a moderation loop. Here is the design and why the two belong in one studio.

Skills, files, memory, and generation do not need four integrations. They need one MCP endpoint with tiered disclosure, one API key that scopes everything to its owner, and one credit balance. The same tools answer to an MCP client, an in-product chat, and a CLI. Here is the whole architecture, and why it is the shape that makes a fleet of agents coherent.

A decision framework for 2026: MCP servers give an agent access to a live system, Agent Skills teach it how to do a task. Here is when to build each, when to build both, and the criteria that actually decide it, grounded in the MCP spec and Anthropic's skills docs.

The first version of skills-over-MCP served a fixed first-party catalog. Skill Studio extends it two ways: anyone can author skills that ride the same progressive-disclosure endpoint scoped to their own API key, and a skill file can be a link instead of a copy - a URL whose bytes are only fetched at the moment an agent decides it needs them. Progressive disclosure stops at the skill boundary no longer. It runs out to the open web.

The 2026-07-28 Model Context Protocol spec is the largest revision since launch: a stateless core, deprecated Roots/Sampling/Logging, MCP Apps, Tasks, and tougher OAuth. Here is what breaks, what to adopt, and a migration checklist for server authors and client integrators before the July 28 deadline.

developersdigest.tech now speaks MCP. Any MCP-capable harness can call the site's tools directly - generate media, pull vetted skills and agents on demand, persist memory across sessions, search the content, and count tokens. Here is what shipped and how to connect.

SKILL.md solved knowledge packaging with progressive disclosure. MCP solved capability transport but ships flat, context-hungry tool lists. The next shape combines them - an MCP server whose tools are a skill directory, so an agent pays context only for what the task needs. Here is the argument and a working implementation.

Bumblebee is Perplexity's open source scanner for detecting compromised packages, extensions, and MCP configs on developer machines. A read-only Go binary that checks npm, PyPI, Go modules, and 10+ ecosystems against exposure catalogs - without running any install scripts. Here is how to set it up and use it.

Arcade just raised $60M to become the secure action layer for production AI agents. Here is what their MCP runtime actually does, how it differs from rolling your own OAuth, and when to use it.

The Linux Foundation's Agent Name Service proposal points at a real gap in AI agent infrastructure: agents need verifiable identity, scoped capabilities, revocation, and audit trails before they can safely act across tools.

GitHub's Agent Finder discovers and invokes Claude, Codex, MCP servers, and skills automatically. Here is how the new ARD specification changes AI coding tool integration.

The MCP 2026-07-28 release candidate drops sessions entirely. Here is what changes, what breaks, and how to migrate your MCP servers before the July 28 deadline.

MCP's new enterprise-managed authorization flow is not just less login friction. It moves agent tool access into identity, policy, and audit systems enterprises already understand.

MCP's new Enterprise-Managed Authorization removes per-user OAuth friction. Anthropic, Okta, Figma, and Linear ship centralized auth for AI agent tooling.

JetBrains released Mellum2 on June 2, 2026 - a 12B MoE model with only 2.5B active parameters per token. Here is how to run it locally, when to use it, and where it fits in your AI coding stack.

On June 2, 2026, GitHub made the Copilot SDK generally available. It exposes the same agent runtime behind Copilot - planning, tool calls, file edits, streaming, MCP - across TypeScript, Python, Go, .NET, Rust, and Java. Here is what changed at GA and what it means for builders.

On June 16, 2026, Microsoft's Work IQ APIs reach general availability - a workplace intelligence layer that hands agents pre-assembled, permission-trimmed Microsoft 365 context instead of raw Graph calls. Here is what the four domains, three protocols, and consumption pricing mean for developers building enterprise agents.

OpenCode is the fastest-growing open-source AI coding agent - 160K GitHub stars, 7.5M monthly users, 75+ model providers. Here is how to set it up, configure models, and use it effectively in your workflow.

Chrome 149 ships an origin trial for WebMCP - a proposed web standard that lets developers expose JavaScript functions and HTML forms to AI agents. Here is what it does, how to implement it, and why it matters for the future of agentic browsing.

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.

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.

The second half of our agent tooling release: distribution, validation, and ergonomics layered on top of the first six. Six small CLIs, one through-line.

Ten private tools shipped overnight - observability, skills, hooks, prompts, and evals - aimed at the agent infrastructure gap small teams keep falling into.

From Claude Opus 4.7 and GPT-5.5 to Andrej-karpathy-skills and EvoMap - the AI dev tools actually shipping the last 30 days, with commands, links, and pricing.

Most MCP servers are noise. After shipping 24 apps with Claude Code, these are the five I reach for every time.

MCP is the USB-C of AI agents. What the Model Context Protocol is, why Anthropic built it, and how to install your first server in Claude Code or Cursor. Fact-checked against the official MCP spec.

MCP isn't just a plugin format - it's a full JSON-RPC protocol for connecting LLMs to tools, resources, and prompts. Here's how it works under the hood, sourced from the official spec.

Hacker News keeps arguing about Claude Code, Codex, skills, MCP, and orchestration. Under the noise, the same four truths keep surfacing: workflows matter more than demos, verification is the bottleneck, skills beat prompts, and orchestration matters more than raw autonomy.

The coding-agent workflow is maturing past giant hand-written prompts. The winning pattern in 2026 is a control stack: project rules, reusable skills, bounded sub-agents, and deterministic tools around the model.

An opinionated guide to the MCP server ecosystem in 2026. Curated picks by category, real configuration examples, installation commands, and honest assessments of what works and what does not.

MCP servers and function calling both let AI tools interact with external systems. They solve different problems. Here is when to reach for each.

Claude Code Channels let Telegram, Discord, iMessage, fakechat, and custom webhooks push events into a running Claude Code session. Here is when to use them, how the security model works, and where they fit beside Remote Control.

A step-by-step guide to building Model Context Protocol servers in TypeScript. Project setup, tool registration, resources, testing with Claude Code, and production patterns.
A searchable directory of 184+ MCP servers organized by category. Find the right server for databases, browsers, APIs, DevOps, and more.

A practical ranked list of MCP servers worth installing first for Claude Code, Cursor, Copilot, Codex, and OpenCode: GitHub, Filesystem, Context7, Playwright, Postgres, Sentry, Supabase, Notion, Slack, and more.

MCP servers connect AI agents to databases, APIs, and tools through a standard protocol. Here is how to configure and use them with Claude Code and Cursor.

MCP lets AI agents connect to databases, APIs, and tools. Here is what it is and how to use it in your TypeScript projects.

OpenClaw has 247K stars and zero MCPs. The best tools for AI agents aren't new protocols - they're the CLIs developers have used for decades.

Composio is a tool infrastructure layer that connects AI agents to Gmail, GitHub, Slack, Google Calendar, and hundreds more apps - all auth handled for you. Here is how to set it up and start building real cross-app workflows.
Open-source terminal agent runtime with approval modes, rollback snapshots, MCP servers, LSP diagnostics, and a headless HTTP API. Uses DeepSeek models by default.
AI CodingGives AI agents access to 250+ external tools (GitHub, Slack, Gmail, databases) with managed OAuth. Handles the auth and API complexity so your agent doesn't have to.
AI FrameworksVisual testing tool for Model Context Protocol servers. Like Postman for MCP - call tools, browse resources, and view real-time logs in a browser UI. Zero install via npx.
MCP ToolsLightweight CLI for discovering and calling MCP servers. Dynamic tool discovery reduces token consumption from 47K to 400 tokens. Three subcommands: info, grep, call.
MCP ToolsCentralized manager for MCP servers. Connect once to localhost:37373 and access all your servers through a single endpoint. REST API, web UI, and VS Code config compatible.
MCP ToolsRegistry and hosting platform for MCP servers. 6,000+ servers indexed. One-command install and configuration via CLI. Supports local and hosted deployments.
MCP ToolsLargest MCP server directory with 17,000+ servers. Security grading (A/B/C/F), compatibility scoring, and install configs. ChatGPT-like UI for browsing and testing.
MCP ToolsOpen-source ChatGPT alternative that runs 100% offline. Desktop app with local models, cloud API connections, custom assistants, and MCP integration. AGPLv3 licensed.
Local AIMCP server directory and ranking site. Tracks weekly downloads, GitHub stars, and build status across 5,000+ servers.
MCP ToolsPythonic framework for building MCP servers. Decorators for tools, resources, and prompts. Officially incorporated into the Python SDK.
MCP ToolsBridge that exposes stdio MCP servers over HTTP/SSE, or vice versa. Run a local server remotely, or connect to a remote server as if it were local.
MCP ToolsOpen-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.
AI CodingA hosted infinite canvas your headless AI agents drive over MCP. Any MCP-speaking agent - Claude Code, Codex, Cursor, or a script - creates HTML docs, images, and video on a live canvas, streamed in as it builds.
ProductivityConfigure Claude Code for maximum productivity -- CLAUDE.md, sub-agents, MCP servers, and autonomous workflows.
GuideWhat MCP servers are, how they work, and how to build your own in 5 minutes.
GuideA complete, citation-backed Claude Code course with setup, prompting systems, MCP, CI, security, cost controls, and capstone workflows.
GuideStep-by-step guide to building an MCP server in TypeScript - from project setup to tool definitions, resource handling, testing, and deployment.
GuideConfigure model, effort, tools, MCP servers, and invocation scope.
GuideConfigure model, tools, MCP, skills, memory, and scoping.
GuideRoute specific MCP servers only to specific subagents.
GuideFires when an MCP server requests input from the user.
GuideConnect external tools and data sources via the open MCP standard.
GuideLocal, project, user, and plugin-level MCP configurations.
GuideDeferred tool loading reduces context overhead for large MCP suites.
GuidePre-configured or dynamic OAuth for remote MCP servers.
GuideReference and read resources exposed by MCP servers.
GuideExecute MCP prompts as commands via the slash menu.
GuideReceive push messages from MCP servers via channels.
GuideAdmin-controlled allow and deny lists for MCP servers.
GuideKeep exploring

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