2,141 stories
A researched map of what actually governs an enterprise MCP server: SDKs that write server code, gateways that add auth and rate limits in front of one, and platforms that generate and host a governed server directly.
What actually turns a codebase into an MCP server: GitHub's own API server (a different job entirely), OpenAPI-to-MCP generators that need a spec first, code annotation frameworks, and the thin no-spec category.
Your stack page is now a bento grid you arrange yourself: subspaces, five tile sizes and drag-to-group clusters. Plus bookmarks, one History tab and MCP parity.
In six hours, builders turned VoiceOS into coding agents, music controls, live business dashboards, custom CRM workflows, and voice-native apps we never would have designed ourselves.
A researched map of how AI agents and the teams building them find and call APIs at scale outside of MCP: public marketplaces, unified-API platforms, and OpenAPI-driven agent tool generation, and where each one stops short of governing who gets to call what.
A researched map of the real tools behind "agent permissions": policy engines, non-human identity platforms, MCP's own OAuth flow, and cloud IAM for agents, four different layers people keep treating as one.
V5 is here, and with it, plenty of features to help you iterate faster. Responsive templates make resizing a breeze, and the new MCP is enabling you to access Bannerbear in-chat. Workflows keeps multi-step video automation in one app.
Test the tools and the workflow instructions delivered by an MCP server in one place.
Partly, and the part it forgets is the expensive one. What CLAUDE.md, auto memory and --continue each carry across, and what none of them carry.
Connect Claude to Relaticle through OAuth or a scoped token. Understand custom fields, tool discovery, and the direct-write behavior before editing records.
Lightpanda is a browser for machines, from agents acting on behalf of a user to data extraction at scale and indexing. Best practice looks different according to your use case.
A researched comparison of where AI agents and developers actually find MCP servers today, the official registry, community marketplaces, integration platforms, and packaged hosting, plus where governed private serving fits.
Agents remain trapped inside the harnesses that created them. Applying the Five Whys to multi-agent systems: tight coupling, the agentic waterfall, workflows instead of environments, the missing collaboration contracts, and why agent interoperability is the layer that comes after MCP.
AI agents can already write SQL, inspect schemas, and work through multi-step database tasks. But what happens when they start acting inside the database itself. Read the full article to see where that shift leads, what still needs human control, and how database IDEs fit into the picture.
Connect an existing AI agent to WhatsApp for two-way customer conversations without building and maintaining the webhook, context, and reply-delivery layer yourself.
Wondering what WooCommerce AI can actually do? See what you can automate, create, and optimize with AI — from product pages to sales reports. TLDR? Get the highlights: It’s the end of another long day running your WooCommerce store.
Four working ways to get an OpenAPI 3.1 spec out of a codebase that never had one, what each approach misses, and how to keep the result true.
A plain explanation of MCP servers: what the protocol does, how a server maps to your API, and what it takes to run one in production.
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