> ## Documentation Index
> Fetch the complete documentation index at: https://docs.feedspace.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Use Cases & Examples

> Practical examples and common workflows for using the Feedspace MCP server with your AI assistant.

Here are real-world examples of what you can ask your AI assistant to do with Feedspace. Each example shows the prompt you'd use and the tools the AI will call behind the scenes.

## Common Workflows

<AccordionGroup>
  <Accordion title="Get an overview of your reviews" icon="chart-pie">
    **Prompt:** "Show me a summary of all my reviews in my workspace"

    **What happens:**

    1. AI calls `list_workspaces` to find your workspace
    2. AI calls `get_feed_summary` to get review statistics
    3. You receive a breakdown of total reviews, ratings distribution, and sentiment analysis
  </Accordion>

  <Accordion title="Find your best testimonials" icon="star">
    **Prompt:** "Find all 5-star text reviews with positive sentiment"

    **What happens:**

    1. AI calls `list_workspaces` to get your workspace ID
    2. AI calls `filter_feeds` with `starRatings: [5]`, `sentiment: ["positive"]`, `feedTypes: ["text"]`
    3. You receive a filtered list of your top testimonials
  </Accordion>

  <Accordion title="Create a Wall of Love" icon="heart">
    **Prompt:** "Create a Wall of Love page called 'Customer Love' with my top-rated reviews"

    **What happens:**

    1. AI calls `list_workspaces` to get your workspace ID
    2. AI calls `filter_feeds` to find your best reviews
    3. AI calls `create_page` with the page name and review identifiers
    4. AI calls `get_page_share` to get the public URL
    5. You receive the URL to your new testimonial page
  </Accordion>

  <Accordion title="Set up a review collection form" icon="clipboard">
    **Prompt:** "Create a review form for my SaaS product that collects text and video reviews with a custom thank-you message"

    **What happens:**

    1. AI calls `list_workspaces` to get your workspace ID
    2. AI calls `create_review_collection_form` with your customization preferences (review types, thank-you message, etc.)
    3. AI calls `get_form_share` to get the shareable link
    4. You receive the form link to share with your customers
  </Accordion>

  <Accordion title="Build an embeddable widget" icon="code">
    **Prompt:** "Create a carousel widget with my 5-star reviews and give me the embed code"

    **What happens:**

    1. AI calls `list_workspaces` to get your workspace ID
    2. AI calls `filter_feeds` to find 5-star reviews
    3. AI calls `create_widget` with type 4 (Carousel) and the review identifiers
    4. AI calls `get_widget_share` to get the HTML embed code
    5. You receive the code snippet to paste into your website
  </Accordion>

  <Accordion title="Organize reviews with labels" icon="tags">
    **Prompt:** "Create a 'Featured' label and apply it to all reviews with 5-star ratings"

    **What happens:**

    1. AI calls `list_workspaces` to get your workspace ID
    2. AI calls `create_label` with the name "Featured"
    3. AI calls `filter_feeds` to find all 5-star reviews
    4. AI calls `batch_update_feeds` with `action: "assign_labels"` to tag all matching reviews
  </Accordion>

  <Accordion title="Import an existing testimonial" icon="file-import">
    **Prompt:** "Import a testimonial from John Smith at Acme Corp: 'Great product, highly recommended!' with a 5-star rating"

    **What happens:**

    1. AI calls `list_workspaces` to get your workspace ID
    2. AI calls `import_text_review` with the reviewer name, company, review text, and rating
    3. The review is added to your workspace
  </Accordion>

  <Accordion title="Invite a team member" icon="user-plus">
    **Prompt:** "Invite [jane@company.com](mailto:jane@company.com) as an Editor to my workspace"

    **What happens:**

    1. AI calls `list_workspaces` to get your workspace ID
    2. AI calls `invite_team_member` with the email and role
    3. An invitation email is sent to the team member
  </Accordion>
</AccordionGroup>

## Tips for Best Results

* **Be specific about your workspace** if you have multiple — mention it by name (e.g. "in my Acme workspace")
* **Mention review types** when filtering — say "text reviews", "video reviews", or "audio reviews" to narrow results
* **Use natural language** — the AI will translate your request into the right tool calls
* **Ask for links and URLs** when you need shareable outputs (form links, page URLs, embed codes)
* **Combine actions** — you can ask the AI to do multi-step workflows in a single prompt (e.g. "Find my best reviews and create a Wall of Love with them")