Interactive MCP

Interactive terminal interface for enhancing AI interactions with user input capabilities, notifications, and cross-platform support for complex tasks requiring confirmation or clarification.

Skills

Explore the skills and capabilities of this skillset.

ask_intensive_chat

<description> Ask a new question in an active intensive chat session previously started with 'start_intensive_chat'. </description> <importantNotes> - (!important!) Requires a valid session ID from 'start_intensive_chat'. - (!important!) Supports predefined options for quick selection. - (!important!) Returns the user's answer or indicates if they didn't respond. - (!important!) **Use this repeatedly within the same response message** after 'start_intensive_chat' until all questions are asked. </importantNotes> <whenToUseThisTool> - When continuing a series of questions in an intensive chat session. - When you need the next piece of information in a multi-step process initiated via 'start_intensive_chat'. - When offering multiple choice options to the user within the session. - When gathering sequential information from the user within the session. </whenToUseThisTool> <features> - Adds a new question to an existing chat session - Supports predefined options for quick selection - Returns the user's response - Maintains the chat history in the console </features> <bestPractices> - Ask one clear question at a time - Provide predefined options when applicable - Don't ask overly complex questions - Keep questions focused on a single piece of information </bestPractices> <parameters> - sessionId: ID of the intensive chat session (from start_intensive_chat) - question: The question text to display to the user - predefinedOptions: Array of predefined options for the user to choose from (optional) </parameters> <examples> - Simple question: { "sessionId": "abcd1234", "question": "What is your project named?" } - With predefined options: { "sessionId": "abcd1234", "question": "Would you like to use TypeScript?", "predefinedOptions": ["Yes", "No"] } </examples>

request_user_input

<description> Send a question to the user via a pop-up command prompt. **Crucial for clarifying requirements, confirming plans, or resolving ambiguity.** You should call this tool whenever it has **any** uncertainty or needs clarification or confirmation, even for trivial or silly questions. Feel free to ask anything! **Proactive questioning is preferred over making assumptions.** </description> <importantNotes> - (!important!) **Use this tool FREQUENTLY** for any question that requires user input or confirmation. - (!important!) Continue to generate existing messages after user answers. - (!important!) Provide predefined options for quick selection if applicable. - (!important!) **Essential for validating assumptions before proceeding with significant actions (e.g., code edits, running commands).** </importantNotes> <whenToUseThisTool> - When you need clarification on user requirements or preferences - When multiple implementation approaches are possible and user input is needed - **Before making potentially impactful changes (code edits, file operations, complex commands)** - When you need to confirm assumptions before proceeding - When you need additional information not available in the current context - When validating potential solutions before implementation - When facing ambiguous instructions that require clarification - When seeking feedback on generated code or solutions - When needing permission to modify critical files or functionality - **Whenever you feel even slightly unsure about the user's intent or the correct next step.** </whenToUseThisTool> <features> - Pop-up command prompt display for user input - Returns user response or timeout notification (timeout defaults to 60 seconds)) - Maintains context across user interactions - Handles empty responses gracefully - Properly formats prompt with project context </features> <bestPractices> - Keep questions concise and specific - Provide clear options when applicable - Do not ask the question if you have another tool that can answer the question - e.g. when you searching file in the current repository, do not ask the question "Do you want to search for a file in the current repository?" - e.g. prefer to use other tools to find the answer (Cursor tools or other MCP Server tools) - Limit questions to only what's necessary **to resolve the uncertainty** - Format complex questions into simple choices - Reference specific code or files when relevant - Indicate why the information is needed - Use appropriate urgency based on importance </bestPractices> <parameters> - projectName: Identifies the context/project making the request (used in prompt formatting) - message: The specific question for the user (appears in the prompt) - predefinedOptions: Predefined options for the user to choose from (optional) </parameters> <examples> - "Should I implement the authentication using JWT or OAuth?" - "Do you want to use TypeScript interfaces or type aliases for this component?" - "I found three potential bugs. Should I fix them all or focus on the critical one first?" - "Can I refactor the database connection code to use connection pooling?" - "Is it acceptable to add React Router as a dependency?" - "I plan to modify function X in file Y. Is that correct?" </examples>

stop_intensive_chat

<description> Stop and close an active intensive chat session. **Must be called** after all questions have been asked using 'ask_intensive_chat'. </description> <importantNotes> - (!important!) Closes the console window for the intensive chat. - (!important!) Frees up system resources. - (!important!) **Should always be called** as the final step when finished with an intensive chat session, typically at the end of the response message where 'start_intensive_chat' was called. </importantNotes> <whenToUseThisTool> - When you've completed gathering all needed information via 'ask_intensive_chat'. - When the multi-step process requiring intensive chat is complete. - When you're ready to move on to processing the collected information. - When the user indicates they want to end the session (if applicable). - As the final action related to the intensive chat flow within a single response message. </whenToUseThisTool> <features> - Gracefully closes the console window - Cleans up system resources - Marks the session as complete </features> <bestPractices> - Always stop sessions when you're done to free resources - Provide a summary of the information collected before stopping </bestPractices> <parameters> - sessionId: ID of the intensive chat session to stop </parameters> <examples> - { "sessionId": "abcd1234" } </examples>

start_intensive_chat

<description> Start an intensive chat session for gathering multiple answers quickly from the user. **Highly recommended** for scenarios requiring a sequence of related inputs or confirmations. Very useful for gathering multiple answers from the user in a short period of time. Especially useful for brainstorming ideas or discussing complex topics with the user. </description> <importantNotes> - (!important!) Opens a persistent console window that stays open for multiple questions. - (!important!) Returns a session ID that **must** be used for subsequent questions via 'ask_intensive_chat'. - (!important!) **Must** be closed with 'stop_intensive_chat' when finished gathering all inputs. - (!important!) After starting a session, **immediately** continue asking all necessary questions using 'ask_intensive_chat' within the **same response message**. Do not end the response until the chat is closed with 'stop_intensive_chat'. This creates a seamless conversational flow for the user. </importantNotes> <whenToUseThisTool> - When you need to collect a series of quick answers from the user (more than 2-3 questions) - When setting up a project with multiple configuration options - When guiding a user through a multi-step process requiring input at each stage - When gathering sequential user preferences - When you want to maintain context between multiple related questions efficiently - When brainstorming ideas with the user interactively </whenToUseThisTool> <features> - Opens a persistent console window for continuous interaction - Supports starting with an initial question - Configurable timeout for each question (set via -t/--timeout, defaults to 60 seconds) - Returns a session ID for subsequent interactions - Keeps full chat history visible to the user - Maintains state between questions </features> <bestPractices> - Use a descriptive session title related to the task - Start with a clear initial question when possible - Do not ask the question if you have another tool that can answer the question - e.g. when you searching file in the current repository, do not ask the question "Do you want to search for a file in the current repository?" - e.g. prefer to use other tools to find the answer (Cursor tools or other MCP Server tools) - Always store the returned session ID for later use - Always close the session when you're done with stop_intensive_chat </bestPractices> <parameters> - sessionTitle: Title for the intensive chat session (appears at the top of the console) </parameters> <examples> - Start session for project setup: { "sessionTitle": "Project Configuration" } </examples>

message_complete_notification

<description> Notify when a response has completed. Use this tool **once** at the end of **each and every** message to signal completion to the user. </description> <importantNotes> - (!important!) **MANDATORY:** ONLY use this tool exactly once per message to signal completion. **Do not forget this step.** </importantNotes> <whenToUseThisTool> - When you've completed answering a user's query - When you've finished executing a task or a sequence of tool calls - When a multi-step process is complete - When you want to provide a summary of completed actions just before ending the response </whenToUseThisTool> <features> - Cross-platform OS notifications (Windows, macOS, Linux) - Reusable tool to signal end of message - Should be called exactly once per LLM response </features> <bestPractices> - Keep messages concise - Use projectName consistently to group notifications by context </bestPractices> <parameters> - projectName: Identifies the context/project making the notification (appears in notification title) - message: The specific notification text (appears in the body) </parameters> <examples> - { "projectName": "MyApp", "message": "Feature implementation complete. All tests passing." } - { "projectName": "MyLib", "message": "Analysis complete: 3 issues found and fixed." } </examples>

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Interactive MCP

GitHub Issues アシスタント
GitHub Issues アシスタントは、GitHubのIssue管理を効率化するAI゚ヌゞェントです。リポゞトリ内でのバグ報告、タスク管理、機胜リク゚ストの䜜成・远跡・優先順䜍付けをシンプルにしたす。チヌムでの利甚に最適で、䞀貫したフォヌマットを維持し、定型䜜業を自動化するこずで、開発プロセスをスムヌズにしたす
Discourse コミュニティマネヌゞャヌ
Discourse コミュニティマネヌゞャヌ゚ヌゞェントは、ナヌザヌポストに察しお明確で芪しみやすく、構造化された返信を迅速に生成するのを支揎し、コミュニティのモデレヌションをより簡単か぀プロフェッショナルにしたす。
株匏ニュヌスレポヌタヌ
このAI゚ヌゞェントは、䞻芁な米囜株匏ニュヌスをリアルタむムで監芖・分析し、䞻芁な掞察、垂堎の反応、セクタヌ別の芁玄を含む構造化された投資レポヌトを生成したす。
オフィス文曞ヘルパヌ
瀟内業務向けに蚭蚈されたAI仮想事務アシスタント。お知らせ、䌚議録、芁玄、フォヌム、手順曞、人事蚘録など、高品質な瀟内文曞の迅速な䜜成をサポヌトしたす。
Google アナリスト
Google Analytics 4 (GA4) プロパティを Google アナリスト゚ヌゞェントに接続するためのステップバむステップガむド。Google Cloud サヌビスアカりントの䜜成、Analytics Data API の有効化、GA4 ビュヌアヌアクセスの付䞎、セッション、ナヌザヌ、バりンス率、コンバヌゞョンなどのサポヌトされおいるメトリックで゚ヌゞェントを構成する方法を説明したす。Bika.ai での GA4 デヌタレポヌトの迅速なセットアップに最適です。
X/Twitter アシスタント
AI駆動のTwitterアシスタントで、コンテンツクリ゚むタヌがAI補品の䜓隓をバむラルツむヌトに倉換したす。自動ポリッシュ、スマヌトリサヌチ、ワンクリック投皿機胜を備えおいたす。
メヌルマヌケティングアシスタント
リヌドを芋぀け、3日間のフォロヌアップメヌルシヌケンスを自動的に送信したす。
ブランドデザむナヌ
スタヌトアップのデゞタル補品向けに特別に蚭蚈されたブランドマヌケティングAIアシスタントで、Product HuntやAppSumoなどのプラットフォヌムに適したオンラむンプロモヌション玠材を迅速に生成し、ビゞュアルクリ゚むティブ、プロモヌションスロヌガン、ブランドトヌン、セヌルスポむントのコミュニケヌションをカバヌしたす
芁件文曞ラむタヌ
補品や機胜のアむデアに぀いお教えおください。ナヌザヌストヌリヌ、受け入れ基準、技術仕様などを含む包括的で詳现な芁件文曞の䜜成をお手䌝いしたす。

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