「mcp」の検索結果

Use when a team wants to design, audit, or operate an AI Marketing OS — a Brand Hub source of truth, role-based AI projects for leader, content, design, performance, and knowledge, skill chains, ChatGPT plus Claude plus NotebookLM workflows, MCP connectors, a Notion or Drive second brain, ads data loops, SOPs, weekly reviews, and handoffs. Trigger on 'AI marketing OS', 'set up our marketing AI system', 'Brand Hub', 'AI workflow for the team', 'MCP for ads data', 'how do I make AI actually useful for marketing'. Not for — one campaign brief, see `02-campaign-brief-global`; the weekly report, see `07-marketing-report-global`; the brand visual rules, see `46-brand-guideline-global`; the product context file, see `product-marketing-context-global`.

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Drives iOS/Android mobile devices via Appium MCP. Runs a preflight, picks local emulator/simulator/USB or a device cloud, captures screenshots/page source into a named evidence dir. Use for verifying mobile bugs, E2E tests, and navigating real device clouds (LambdaTest/BrowserStack).

日本語の概要は準備中です。原文の説明を表示しています。

Research-to-implement pipeline chaining 5 MCP tools with graceful degradation

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MCP Script Rules

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MCP server registry, auto-discovery, configuration, custom server development guide

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GitHub MCP Server ile GitHub API erisimi. Repo, issue, PR, code search, release yonetimi.

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Search places, resolve addresses, compare routes, inspect neighborhoods, and retrieve geographic or environmental facts through the standalone @cablate/mcp-google-map CLI. Use for concrete location questions; use the travel-planning or local-seo Skill for those specialized outcomes.

日本語の概要は準備中です。原文の説明を表示しています。

【强制】所有技术文档查询必须使用本技能，禁止在主对话中直接使用 mcp__context7-mcp 工具。触发关键词：查询/学习/了解某个库或框架的文档、API用法、配置参数、错误解释、版本差异、代码示例、最佳实践。本技能通过 context7-researcher agent 执行查询，避免大量文档内容污染主对话上下文，保持 token 效率。

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Automation skill for Lovable deployments. Activates when: - yolo_mode: on in CLAUDE.md - Running /deploy-edge or /apply-migration commands - After git push when auto_deploy: on (automatic detection) - Any mention of "yolo mode", "automate Lovable", "browser automation", "Lovable MCP" Uses Lovable MCP (preferred) or browser automation to submit deployment prompts. Runs verification tests based on configuration. Auto-deploys after git push when enabled.

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Use when you need to visually verify or drive this Tauri app's running UI — taking screenshots, reading the live DOM, clicking real buttons, or calling real backend commands against real data. Covers launching the dev build with the MCP bridge compiled in, connecting the driver session, and shutting down cleanly. Not suitable for unit-test-only changes, or when the user only wants the code read.

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MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.

日本語の概要は準備中です。原文の説明を表示しています。

Open the Cross-Code Organizer (CCO) dashboard — view and manage all memories, skills, MCP servers, hooks, and configs across scopes

日本語の概要は準備中です。原文の説明を表示しています。

MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.

日本語の概要は準備中です。原文の説明を表示しています。

Persistent compounding memory for AI agents. 5 default MCP tools: session_start, session_end, remember, recall, check. Full surface: 6 tools with --full (adds check_action); 13 tools with AR_EXTRAS=1 --full. Two-verb model: inhale (session_start) and exhale (session_end). Correction-first memory with decision trail tracking, watch_for warnings, palace rooms with salience scoring, cross-project insight matching, same-day journal merging, ambient recall hooks. Local markdown only. Zero cloud, zero telemetry, Obsidian-compatible. Optional Supabase backend: when configured via `ar setup supabase`, recall() uses pgvector cosine similarity on OpenAI/Voyage embeddings instead of keyword search — same API, semantic understanding. Gracefully degrades to local search if not configured.

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Provides SonarQube and SonarCloud integration patterns via the Model Context Protocol (MCP) server. Enables quality gate monitoring, issue discovery and triaging, pre-push code analysis, and rule education directly in the agent workflow. Use when the user wants to check quality gates, search for Sonar issues, analyze code snippets before committing, or understand SonarQube rules. Triggers on "sonarqube", "sonarcloud", "quality gate", "sonar issues", "analyze with sonar", "check sonar", "sonar rule", "pre-push analysis".

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ai-agent-camp用のCodexツーリングを設定するスキル。 「MCPサーバーを設定」「フックをインストール」「Codexの設定」「ツールセットアップ」「Codex CLIのインストール」等のリクエストで発動。

Connect and verify the Well MCP — authenticate, confirm the tools work, and show what to ask. Use when the user runs /well:connect, just installed the Well plugin, or says the Well connection/MCP "isn't working" / "nothing happened".

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Guide for creating new MCP server integrations

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Converts documents and URLs to markdown via tiered fallback (MCP markitdown, native tools, user notice). Use when a skill must ingest PDF, DOCX, or URL content.

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Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

日本語の概要は準備中です。原文の説明を表示しています。

Use XcodeBuildMCP to build, run, launch, and debug the current iOS project on a booted simulator. Trigger when asked to run an iOS app, interact with the simulator UI, inspect on-screen state, capture logs/console output, or diagnose runtime behavior using XcodeBuildMCP tools.

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MCP server attack hunting - tool poisoning, indirect prompt injection via tool output, rug-pull updates, cross-tool shadowing, over-permissioned/excessive-agency tools, lethal trifecta. Wiki-first, FIND schema output.

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Use when exposing Spring Boot 3 application capabilities through Model Context Protocol tools, resources, or prompts. Covers Spring AI 1.x tool callback registration, transports, schemas, errors, security, and standalone MCP Java SDK compatibility.

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Semantic + keyword search and connection-discovery across the user's own Apple Notes via the apple-notes MCP server. Use when the user wants to find, recall, or synthesize something from their notes, or surface non-obvious bridges/related notes. macOS, on-device.

日本語の概要は準備中です。原文の説明を表示しています。