Back to topics

Tooling stacks converge: MCP, Exacto, Apps SDK, and HTTP-API thinking reshape LLM tooling

1 min read
219 words
Opinions on LLMs Tooling Exacto,

Tooling stacks are coalescing around the Model Context Protocol. The headline: Exacto tool-calling endpoints from OpenRouter target top providers like Kimi K2, DeepSeek v3.1 Terminus, GLM 4.6, GPT‑OSS 120B, and Qwen3 Coder [1].

OpenAI's Apps SDK — the infrastructure behind ChatGPT apps — rides on MCP and blends API, app, and UI inside the browser. An Apps SDK server defines tools and logic; the widget renders inside an iframe. When you say “Show me homes on Zillow,” the LLM calls the MCP tool, fetches the widget, and hydrates the UI with JSON props. The pattern is two halves: the MCP server and the widget [2].

Meanwhile, the MCP Hub is being talked about as the central ecosystem for MCP-powered apps and tooling [3].

On the engineering edge, SATI treats LLMs like HTTP APIs: force the model to output JSON, attach reasoning traces, record every event in SQLite, and hash outputs to verify integrity. Demos show a fully auditable, inspectable pipeline across Anthropic and OpenAI, not just raw text [4].

Then there's practical local tooling: LunaRoute is a high-performance local proxy for AI coding helpers. It gives complete session logs in JSONL, built-in redaction, and blazing-fast passthrough (0.1–0.2 ms), with cross-provider routing and a SQLite store for queries [5].

Watch this space as the MCP and tooling stack keep tightening.

References

[1]
HackerNews

OpenRouter Introduces Exacto Precision Tool-Calling Endpoints

Product update on Exacto endpoints improving tool-calling accuracy by routing to top providers (Kimi K2, GLM, GPT-OSS).

View source
[2]
HackerNews

OpenAI's Apps SDK – How It Works

Describes MCP-based Apps SDK for ChatGPT, UI widgets, tools, and Apps in ChatGPT OS-like runtime; hints at developer opportunities

View source
[3]
HackerNews

Model Context Protocol (MCP) Hub

Hub for Model Context Protocol (MCP) showcasing context-related tools and discussions

View source
[4]
HackerNews

Proposes treating LLMs as HTTP APIs with structured JSON, full tracing, integrity hashes, and real-time debugging across languages and vendors.

View source
[5]
HackerNews

Show HN: LunaRoute – a high-performance local proxy for AI coding assistants

Show HN LunaRoute: high-performance local proxy for AI coding assistants; full logs, privacy controls, dialect routing.

View source

Want to track your own topics?

Create custom trackers and get AI-powered insights from social discussions

Get Started