# Interview-Based Story Plan AI Agent Connect > Interview-Based Story Plan MCP provides a structured framework for managing the lifecycle of an interview-driven story. It helps you handle everything from initial outreach to final participant reviews while enforcing strict consent and attribution boundaries to keep your reporting ethical and organized. ## Overview - **Category:** productivity - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_BMk6P0qfl9FidC6jUczf4aU3467TeKjFxf4OzP1O/ai-agent-connect - **Tags:** storytelling, interview, ethics, workflow, planning ## Description You can use this MCP to move from a raw interview idea to a finished narrative without losing track of the ethical details. It acts as a specialized planning engine for journalists and qualitative researchers who need to manage complex human interactions. Instead of juggling messy notes and scattered emails, you use your AI client to build a cohesive roadmap. You can plan how you'll reach out to sources, prepare specific questions for sessions, and keep a clear, immutable record of what each person has consented to. It keeps your story development on track by defining the necessary narrative steps and managing how participants review your final work. This ensures you stay compliant with attribution requirements and maintain the integrity of your reporting throughout the entire process. ## Tools ### create_session_agenda This tool builds a structured guide to keep your interviews focused and productive. ### define_review_options Use this to set how participants can check and approve your final story output. ### develop_narrative_steps This tool generates a step-by-step workflow to take you from the first interview to a completed story. ### generate_outreach_sequence This tool creates a timeline of communications to help you secure interviews with your sources. ### log_permission_record Use this to create a permanent record of the specific permissions and consent given by a participant. ## Prompt Examples **Prompt:** ``` I need to interview three experts about climate change over the next two weeks. Can you help me plan the outreach? ``` **Response:** ``` I have generated an outreach sequence for your three experts, scheduled to complete within your two-week window, including initial contact and follow-up steps. ``` **Prompt:** ``` Help me prepare for an interview about urban planning. The topics are zoning, public transit, and green spaces. The source has requested full attribution. ``` **Response:** ``` I have created a session agenda covering zoning, public transit, and green spaces, with a prioritized section at the beginning to confirm consent and recording preferences. ``` **Prompt:** ``` I need to log that Jane Doe has given permission for her full name to be used, but only for internal reports. ``` **Response:** ``` The permission record for Jane Doe has been logged, specifying full attribution with usage limited to internal reports. ``` ## Capabilities ### Outreach Planning Your agent uses this to build communication timelines for securing interviewees. ### Interview Preparation Your AI client generates structured agendas to guide your live sessions. ### Consent Management The MCP logs permission records to ensure you follow participant instructions. ### Workflow Mapping Your agent defines the specific steps needed to move from interview to finished story. ### Feedback Control The tool manages how participants review and provide feedback on your final work. ## Use Cases ### Investigative Reporting Plan complex outreach to multiple sources while keeping strict records of what they allow you to publish. ### Academic Research Organize qualitative interview sessions and manage the subsequent narrative development steps. ### Feature Storytelling Create structured agendas for deep-dive interviews and manage how subjects review the final draft. ### Consent Tracking Keep an immutable record of participant permissions to ensure ethical compliance. ## Benefits - Enforces ethical boundaries through formal permission logging. - Reduces manual planning for interview outreach and scheduling. - Maintains a clear audit trail for participant consent. - Standardizes the transition from raw interview to final narrative. ## How It Works Connect your preferred client to Vinkius and start planning your story immediately. 1. Connect your AI client to the Vinkius hosted MCP. 2. Ask your agent to generate an outreach sequence for your subjects. 3. Use the tool to create a session agenda for your upcoming interviews. 4. Log participant permissions immediately after your sessions. 5. Follow the narrative steps to build your final story. ## Frequently Asked Questions **What does this MCP do?** It provides a framework for managing the entire lifecycle of an interview-based story, focusing on planning, ethics, and narrative development. **How does it help with ethics?** The MCP includes tools to log permission records, ensuring you have a clear account of what each participant has consented to. **Which AI clients can I use with this?** You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code. **Do I need to host the MCP myself?** No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the tools. **Can I use this for simple interviews?** Yes, it works for any interview-based workflow, from quick outreach to complex, multi-step narrative projects. **How does this tool handle participant consent?** The tool uses `log_permission_record` to create an immutable record of all permissions, ensuring that all subsequent narrative steps respect the established consent and attribution rules. **Can I use this to plan my interview schedule?** Yes, you can use `generate_outreach_sequence` to create a chronological timeline of communications to secure your interviewees based on your specific project timeline. **What happens if I need to change the story structure?** You can use `develop_narrative_steps` to generate a new workflow that aligns with your updated story purpose and attribution requirements.