MCP

MCP Recipes

Run outcome-oriented MCP workflows for reports, executive briefs, crises, competitors, campaigns, CX, trends, media, research, meetings, and content ideas.

Outcome-oriented MCP recipes for reports, executive briefs, crisis checks, competitor intelligence, campaigns, CX, trends, influencers, media, research, meetings, and content ideas.

Use these recipes when you want the AI client to analyze authorized Kommon Poll data conversationally and produce a useful business output.

Use API Cookbooks instead when the same workflow needs deterministic server-side requests, production retries, or scheduled backend delivery.

Each recipe should define:

  • Goal.
  • Best-fit users.
  • Prerequisites.
  • Kommon Poll data used.
  • Tool sequence.
  • Copy/paste prompt.
  • Expected output.
  • Filters and refinements.
  • Reuse or automation pattern.
  • Limitations.

1. Generate A Social Listening Report

Best for marketing, communications, insights, and agency teams.

Data used:

  • Saved-search overview analytics.
  • Representative or top-ranked mention pages.
  • Date range, timezone, platform, topic, sentiment, and tag filters where needed.

Tool sequence:

  1. List saved searches if the project is ambiguous.
  2. Select the saved search.
  3. Retrieve overview analytics for the reporting period.
  4. Retrieve top or representative mentions for evidence.
  5. Ask the AI to structure the report.
  6. Export to the client's supported format if available.

Prompt:

Use Kommon Poll to generate a social listening report for the selected saved search covering the last 30 days. Include executive summary, volume, sentiment, reach, interactions, influence, platform mix, key themes, risks, opportunities, representative mentions, and recommendations. State the saved search, date range, timezone, filters, and limitations. Separate observed Kommon Poll data from your interpretation.

Quality checklist:

  • Uses overview data for quantitative claims.
  • Uses mentions as evidence.
  • States period and filters.
  • Avoids causal claims without evidence.
  • Labels recommendations as interpretation.

2. Create A Weekly Executive Brief

Best for leadership, communications leads, and brand owners.

Prompt:

Create a weekly executive brief from Kommon Poll for the last 7 days. Focus on material changes, positive and negative drivers, high-influence mentions, risks, opportunities, and recommended actions. Keep it concise. Include the saved search, period, filters, and three evidence examples with source links.

Expected output:

  • Five things leadership should know.
  • Biggest positive driver.
  • Biggest negative driver.
  • Top platforms or sources.
  • High-influence examples.
  • Recommended actions.
  • Limitations.

Make it repeatable by saving the prompt in a project, skill, agent, or scheduled workflow where supported.


3. Crisis And Reputation Monitoring

Best for communications, PR, social care, and incident teams.

Use filters such as:

  • Short duration, such as 1d or 7d.
  • Negative sentiment.
  • High influence.
  • High engagement.
  • Priority tags.
  • Incident keywords.
  • Relevant platforms.

Prompt:

Use Kommon Poll to assess whether there is an active reputation issue in the selected saved search over the last 24 hours and last 7 days. Focus on negative sentiment, influence, engagement, platforms, repeated claims, and representative evidence. Produce a situation brief with severity, narrative, stakeholders, unanswered questions, and recommended monitoring actions. Do not treat model-generated causal claims as facts unless supported by the data.

Expected output:

  • Severity assessment.
  • What changed.
  • Who or what is driving attention.
  • Amplifying platforms.
  • Representative mentions.
  • Known unknowns.
  • Next monitoring steps.

4. Competitor Intelligence

Best for strategy, marketing, sales enablement, and leadership teams.

Tool sequence:

  1. Identify brand and competitor saved searches.
  2. Use the same reporting period for each search.
  3. Retrieve overviews.
  4. Retrieve top mentions for each competitor where needed.
  5. Compare volume, sentiment, engagement, reach, influence, themes, complaints, and campaign signals.

Prompt:

Compare our brand and the selected competitor saved searches for the last 30 days. Use the same period and filters for every search. Report conversation volume, sentiment, reach, engagement, influence, platform mix, top themes, recurring complaints, high-value mentions, and what changed since the previous period if reliable comparison data is available.

Output options:

  • Competitor battlecard.
  • Monthly competitor brief.
  • Campaign comparison.
  • Opportunity list.

5. Campaign Performance Analysis

Best for campaign managers, social teams, creative teams, and agencies.

Prompt:

Analyze the campaign saved search for the campaign period. Use Kommon Poll overview data and representative mentions. Summarize earned attention, sentiment, engagement, reach, top content, audience response, complaints, spillover themes, and recommendations for the next campaign.

Useful filters:

  • Explicit campaign dates.
  • Campaign hashtags.
  • Campaign authors or creators.
  • Platforms.
  • Domains.
  • Engagement or influence thresholds.

Expected output:

  • Campaign summary.
  • KPI table.
  • Audience response themes.
  • Top positive and negative examples.
  • Lessons and recommendations.

6. Customer Experience And Voice Of Customer

Best for CX, product, support, service, and operations teams.

Prompt:

Use Kommon Poll to analyze Voice of Customer signals from the selected saved search for the last 30 days. Focus on negative and neutral mentions, complaint/action classifications, tags, intents, subtopics, and recurring product or service issues. Cluster findings into themes, quantify frequency where available, highlight severe or high-influence examples, and turn the findings into a prioritized CX action list.

Separate:

  • Frequency: how often a theme appears.
  • Severity: how harmful the issue is.
  • Influence: how visible or impactful the mention may be.
  • Evidence: specific mention examples and source links.

Best for strategy, content, research, and category teams.

Prompt:

Use Kommon Poll to identify emerging trends and topics in the selected saved search over the last 14 days. Use overview metrics plus a sample of mentions. Identify repeated themes, new language, fast-growing issues, creator or community signals, and weak signals. Provide evidence counts or examples where available and label hypotheses clearly.

Expected output:

  • Emerging topics.
  • Supporting evidence.
  • Platforms where each topic appears.
  • Sentiment and audience context.
  • Hypotheses to monitor.
  • Follow-up searches or filters.

8. Identify High-Value Mentions And Influencers

Best for PR, social care, partnerships, CRM, and outreach teams.

Prompt:

Find high-value mentions from the selected Kommon Poll saved search in the last 30 days. Sort or filter by influence, engagement, reach, recency, sentiment, and business-author status where available. Return a shortlist with source link, author, platform, why it matters, risk or opportunity, and recommended follow-up.

Use this for:

  • Escalation review.
  • Outreach lists.
  • Influencer discovery.
  • Advocacy opportunities.
  • Reputation risk monitoring.

9. Build A Media And PR Brief

Best for communications, media relations, and executives.

Prompt:

Create a media and PR brief from Kommon Poll for the selected saved search. Focus on news, blogs, forums, and high-influence social posts. Summarize narrative, key outlets and voices, sentiment, message pull-through, reputational risks, and recommended talking points. Include a morning-brief version and a crisis-update version.

Expected output:

  • Top media narrative.
  • Key outlets or voices.
  • Positive, neutral, and negative coverage.
  • Message pull-through.
  • Risks and questions.
  • Talking points.

10. Research A Market Or Category

Best for insights, strategy, product, and research teams.

Prompt:

Use Kommon Poll saved searches covering this market or category to analyze audience needs, complaints, competitors, language, topic patterns, and influential conversations. If the AI client supports web research, add external context separately. Clearly label Kommon Poll-observed conversation separately from external sources.

Output:

  • Category themes.
  • Needs and pain points.
  • Competitor signals.
  • Audience language.
  • Influential conversations.
  • Market hypotheses.
  • Evidence and limitations.

11. Prepare For A Client Or Leadership Meeting

Best for account teams, leaders, agencies, and consultants.

Prompt:

Prepare a pre-meeting Kommon Poll brief for the selected saved search covering the last 7 and 30 days. Return five things to know, three risks, three opportunities, top evidence, likely stakeholder questions, and suggested questions to ask in the meeting.

Optional automation:

  • Generate before a recurring meeting where the AI client supports calendar or task automation.
  • Use an external scheduler or the API when deterministic delivery is required.

12. Create Content Ideas From Audience Conversation

Best for content, social, creative, and community teams.

Prompt:

Use Kommon Poll to find recurring questions, pain points, misconceptions, praise, and emerging topics from the selected saved search. Generate content themes grounded in actual conversation. Avoid copying user-generated content verbatim except for short evidence snippets when appropriate. Group ideas by audience need, format, platform, and likely objective.

Expected output:

  • Content themes.
  • Audience question or pain point.
  • Evidence summary.
  • Suggested format.
  • Suggested platform.
  • Risk or sensitivity notes.