Enables agents to set up and manage named connections to a user's own machine, keeping credentials in private local files while requiring explicit permission review. Runs locally over stdio with no hosted endpoint and preserves existing manager state.

Create and refine Blender product scenes in DSH: editable recipes, model imports, real previews, saved revisions and PNG/MP4 delivery.

DSH permission-gate for the DeepSeek Harness 0.1.5 line: a single self-sufficient, deterministic-first, fail-closed gate covering P0 hard-deny -> P1 session grant -> P2 static rule (allow/deny) chain -> P3 optional LLM semantic classifier -> P4 ask, with

Let AI agents draft, schedule and publish posts to 17 social platforms, read analytics and reply.

Enables coding agents to search public documentation, retrieve SDK snippets with verification status, and access published pricing and an llms.txt resource in a read-only, credential-free way.

A free, read-only server that lets users diagnose production AI-agent risks: it flags over-privileged API keys from permission descriptions, scans code snippets for the signals that prevent duplicate execution, and explains guard patterns such as idempotency keys, approval gates, outboxes, and circuit breakers. It makes no network calls or writes, and rejects inputs that look like real secrets.

Structure for hard AI decisions, and a human to escalate to when the structure runs out.

Enables AI agents to answer data-center siting questions by querying a live facility registry, per-metro market intelligence, real-time grid fuel mix and demand, and leasable capacity listings, including a one-call planner that combines these into ranked, cited answers. Results are fetched live per request, keyless, with optional API keys for fuller responses.

The agentic social media scheduler. Write, schedule and publish to all top social platforms.

Air traffic control discipline for agent output. Written for a reader with ADHD.

Enables AI coding agents to inspect GitHub repositories and shell commands for download-and-execute payloads, obfuscation, typosquatted dependencies, autorun hooks, and fake-star signals before following or running them.

Create, review and schedule social content from your AI agent. Approval-first.

Reasonbook: decisions that survive the session, in a local record AI agents keep.

Pharmacogenomics for AI agents: cited drug–gene, gene and rsID lookups plus a medication screen.

AI Voice Production Agent: picks from 30+ TTS models, fixes pronunciation, validates every line.

Gives AI agents one MCP interface to inspect CI health and flaky tests, pull request flow, delivery/DORA metrics, dependency risks, community health, insights, and org portal data across GitHub repositories. It exposes 11 core tools by default and all 35 with --tools all.

Enables agents to verify whether a quoted passage appears word for word in a cited URL, DOI, or PubMed source, returning a verdict, similarity score, and character span so quotations can be validated before use.

Context optimization for AI coding agents — lower token cost and latency without sacrificing accuracy.

Session handoffs for Claude Code: skills that capture decisions, failed approaches and next steps, plus a Claude Code mod (/compact-handoff) that replaces the conversation with a validated handoff and keeps going. A better /compact.

Craft is a Claude Code plugin that asks you the product questions and works out the technical ones. Features get planned, built, and tested, with your codebase read-only until you approve the work. Point at a live page to change it. The calls you make - decisions, design tokens, the tweaks you loved - carry into every build after.

VibeView CLI -- run your app on cloud iOS simulators, Android emulators, Apple TV, Android TV and Roku devices: a React Native dev loop, device control for you or your coding agent (CLI or MCP), and tests from CI

Tu equipo de desarrolladores en un plugin. 10 agentes, 11 skills planas, 18 comandos /alfred-dev:*. Memoria persistente, quality gates con evidencia y MCP local.

Structured, cited, real-world data from 300+ sources and the open web for your AI agents.

Evaluate your agent's context for unreliable sources, dependencies, redundant and stale claims.