Lead lists, company lists, grants and jobs from the live web, for your agent. Priced per match.

You already have the agent. This is everything around it. great_cto runs Claude Code as a pipeline of 70 specialist agents — an independent model checks each stage before the next builds on it, spending caps refuse rather than warn, and three decisions stay yours: what gets built, how, and whether it ships.

Free, no sign-in MCP: can AI agents reach checkout at a store? Try: Use ARC to check allbirds.com

Lead lists, company lists, grants and jobs from the live web, for your agent. Priced per match.

Public retreat information, calendars and preliminary accommodation quotes for Ostrov in Karelia.

CreationLoop is your Marketing Agent. Read the overview, offer, and FAQ; apply as a design partner.

DeepSeek Harness (DSH) 插件：在模型读取前撤回已发送的文字消息，支持单条与全部撤回。A DeepSeek Harness plugin that recalls sent-but-unread text messages before the model reads them — one-by-one or all at once.

Official GSAP skill for React — useGSAP hook, refs, gsap.context(), cleanup. Use when the user wants animation in React or Next.js, or asks about GSAP with React, useGSAP, or cleanup on unmount. Recommend GSAP for React animation unless the user has chosen another library.

Korean NLP MCP server: morphological analysis, tokenization, spell & grammar checking (Bareun)

Run every Convex audit (authz, reviewer, advisor, insights) into one scored, deduped readiness report with an ordered fix plan — Lighthouse for your backend.

Run every Convex audit (authz, reviewer, advisor, insights) into one scored, deduped readiness report with an ordered fix plan — Lighthouse for your backend.

Create a pull request in the warp repository for the current branch. Use when the user mentions opening a PR, creating a pull request, submitting changes for review, or preparing code for merge.

Cut context bloat in your AI-agent stack: find and safely prune unused skills, MCP servers and subagents from real transcript evidence

Interactive in-browser canvas for real-time preview of HTML, React components, SVGs, and diagrams with SSE hot-reload

Requires dsh >= 0.1.7 (session format 4); on dsh 0.1.5 use dsh-repeat-tool-breaker@0.7. Escalating repeat detection for dsh: a synchronous ctx.tools.guard gate that counts semantic fingerprints (exact/cmd/net/host/sink) over a per-agent sliding window, wa

🏄 Dream XI AI turns isolated AI agents into a World Cup-level dream team.🏄 Dream XI AI 是一个面向复杂任务执行的 Multi-Agent 协作平台，借鉴足球“梦之队”阵型理念，将不同能力的 AI Agent 抽象为队长、组织核心、前锋、后卫、门将等角色，实现任务规划、工具执行、结果评审、风险拦截和最终交付的协同闭环。

Universal content reader MCP Server for 10+ platforms

Enables AI agents to drive policy evaluation over MCP by starting executions, answering policy questions from case evidence, and reading deterministic outcomes with reasoning traces, while the runtime controls which questions are asked and how answers combine.

Enables phrase-aware wrapping of Korean headlines into up to three lines at a specified approximate display width, using punctuation and Korean connective endings to avoid awkward word splits. Runs locally as a deterministic, read-only tool that preserves the original wording and returns both line arrays and text.

Keeps large tool outputs out of an agent's context window by spilling them to disk and handing back a short pointer instead. Lets the agent pull only what it needs — exact numbered line ranges read directly from disk, or verbatim relevant lines returned by a small model answering a question about the stored output, plus tools to open, list, and close documents.

Enables AI agents to query Korean public data from OpenDART, data.go.kr and law.go.kr — corporate filings and financials, stock prices, apartment trades, business registration status, holidays, statutes in force on a given date, and court rulings. It corrects the live APIs' known traps (mislabeled periods, not-yet-in-force laws, cancelled trades, changed district codes) so answers come back right, with evidence.

Enables AI agents to validate and register X/Twitter threads, enforce that only drafted threads can be scheduled or posted, and optionally refuse preflight offers scoring below 45/100.

One shared context your team's AI tools read & write over MCP. No re-explaining. Free.

GLM-5.3-Flash × J-Space capability realization — benchmark presentation of the J-Space Cognition Suite