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Operational guide for the ArtCraft MCP integration — the community Python rebuild (C:\Users\rasta\artcraft-mcp-py\artcraft_mcp_server.py) that replaces the broken upstream artcraft-mcp.exe, the live api.storyteller.ai/v1 API map (required headers, cookie auth, endpoint schemas), the upstream bug/PR trail (issues #1/#3, PR #2), the reverse-engineering playbook (browser capture, cookie injection, schema fishing via validation errors, handshake replay, Windows MITM kit), and the generic MCP-protocol debugging playbook (snake_case servers, the shim pattern, 'missing field protocolVersion' diagnosis). Use when working on ArtCraft MCP tools, debugging an artcraft server connection, extending the Python rebuild, or diagnosing any third-party MCP handshake failure.

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 products via AI tools, cross-reference live stock, generate WooCommerce-ready copy, and extract marketing angles. Covers the full research-to-copy pipeline with remote_wp_connection stock checks and paper_store persistence. Use when researching products by SKU/name/category, generating WooCommerce descriptions, preparing product data for campaigns, or cross-referencing catalog files against live inventory.

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。

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,

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 when the user asks to "set up my founder social-selling routine", "build a daily engagement block for target accounts", or "turn funding / hiring signals into selling plays"; produces the founder/seller daily operating block — a time-boxed engagement-block spec (substantive value-add comments on target-account posts, never a pitch), warm-touch-before-ask cadence rules, trigger-response plays consuming the social-pulse-monitor B2B trigger watchlist (funding / hiring / launch signals), and a quarterly diagnostic that reads LinkedIn SSI as an input diagnostic only (Estimated, vendor-defined — never a target metric). All volume norms are Estimated/community-derived; all execution is human — zero mass-DM, zero connection-request automation, zero engagement automation (LinkedIn UA §8.2 red line); 1:1 pitch and DM mechanics route to outreach-manager. Not for cold email sequences — use cold-outbound-sequencer. 社交销售/创始人日常互动块/热身触达节奏/触发信号剧本

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。

Analyze live Ahrefs backlink, referring-domain, organic-keyword, and content data when an authorized Ahrefs connector is available. Use for Ahrefs-specific SEO evidence, not for estimates when no live connection exists.

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 when the user asks to "design an employee advocacy program", "set up founder-led sharing", or "build a share kit for the team"; produces an advocacy program blueprint in two modes — participation-driven opt-in (default) or top-down assigned with its coercion and authenticity risks flagged — with a voluntary opt-in roster spec submitted as channel-registry proposal events, share kits with mandatory per-person variation, staggered human posting windows plus anti-pod guardrails (no coordinated identical reshares, no engagement rings), per-person material-connection disclosure lines per FTC and 《互联网广告管理办法》, and a Slack/Teams distribution spec. Not for paid creator campaigns — use campaign-planner. 员工倡导/创始人IP分享/内部分享计划/披露合规

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。

Bluetooth context for the Megahub project. Use when working on BLE GATT server, Classic Bluetooth HID host, Web Bluetooth API integration, btremote library, connection handling, or any Bluetooth-related firmware code.

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。

Control a running TouchDesigner instance via twozero MCP — create operators, set parameters, wire connections, execute Python, build real-time visuals. 36 native tools.

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。

Search and analyze Estuary task logs with jq filtering. Use when investigating task failures, debugging connector errors, analyzing behavior patterns, or streaming live logs. Use when user says "check logs", "show me logs", "task failing", "why is my capture failing", "why is my materialization failing", "error messages", "why did it fail", "search task logs", "shard failed", "follow logs", "increase log level", "debug logging", "is this log message normal", "what does this message mean", "connection timeout", or "i/o timeout".

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。

AI-driven Flutter E2E testing via VM Service CLI. Control running Flutter apps in debug mode for smoke tests, regression checks, exploratory testing, and UI automation. Trigger when user mentions E2E testing, UI automation, smoke tests, integration testing, test automation, controlling Flutter apps, VM Service interaction, debugging UI flows, automated regression testing, CI sanity checks, or testing native dialogs/permissions/WebViews. Supports stateful named instances or stateless direct URI connections. Ideal for rapid test feedback, AI agent workflows, element discovery, screenshot capture, log collection, and scriptable UI interactions (tap, scroll, enterText). Use for troubleshooting flaky tests, automating repetitive manual tests, verifying app behavior after merges, or setting up automated QA pipelines.

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。

Designs and reviews offline-first mobile data on every stack — Flutter, native Android, native iOS, React Native and Kotlin Multiplatform. Covers the local store, the outbox of pending mutations, idempotency keys, retry and backoff, conflict resolution, reconnection, and how to test a flaky network deterministically. Use when an app must work without connectivity, when writes are lost or duplicated after reconnecting, or when local and server data disagree.

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 Upsy for secure access to third-party accounts and tasks involving memory, files, connected email, calendar, documents, messaging, project apps, and the cloud browser. Guide account connections, scoped permissions, and activity auditing, even when the user has not mentioned Upsy.

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。

Configure secure, high-performance connectivity between on-premises infrastructure and cloud platforms using VPN and dedicated connections. Use when building hybrid cloud architectures, connecting data centers to cloud, or implementing secure cross-premises networking.

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。

Azure Web PubSub Service SDK for Python. Use for real-time messaging, WebSocket connections, and pub/sub patterns.

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。

Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings.

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。

Azure Key Vault Secrets Java SDK for secret management. Use when storing, retrieving, or managing passwords, API keys, connection strings, or other sensitive configuration data.

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。

Build AI applications using Azure AI Projects SDK for JavaScript (@azure/ai-projects). Use when working with Foundry project clients, agents, connections, deployments, datasets, indexes, evaluation...

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。

Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes.

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。

Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations.

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。

Step-by-step setup and troubleshooting for connecting an owner's Google Calendar to an OpenClaw agent with read and write access. Use when: setting up calendar access for the first time, fixing read-only access, re-authenticating a broken Google connection, explaining the difference between the owner's Google account and the agent's Google account, how an OpenClaw agent accesses Gmail or Google Workspace, where credentials are stored, how to use the agent inbox, how to give the agent write access to the owner's calendar, or guiding another agent or user through the email or calendar setup model.

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。

Evaluate everything the PA agent manages — tasks, skills, PA network health, billing, calendar connections, and memory quality. Use when: owner asks for an evaluation, wants to know what's working and what isn't, or requests a performance report. Combines supervisor status with quality scoring.

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 when working with Consul Connect — hashiCorp Consul Connect service mesh management covering service discovery, intentions, sidecar proxies, mesh gateways, ingress/terminating gateways, certificate management, and health checks. Use when managing Consul Connect mesh, configuring service-to-service authorization, debugging proxy connections, or managing mesh gateways for multi-datacenter communication.

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 when working with Census — census reverse ETL management — monitor syncs, destinations, models, source connections, and sync run health. Use when debugging sync failures, inspecting record delivery, auditing destination mappings, or reviewing sync schedules.

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 when working with Apache Airflow Deep — apache Airflow deep management covering DAG inventory, task instance monitoring, scheduler health, executor status, pool and variable management, connection auditing, and SLA miss tracking. Use when investigating DAG failures, analyzing task duration trends, monitoring scheduler performance, or auditing Airflow configurations.

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。