MCP Recipe for Trustworthy Case Studies.
Every customer claim source-verified, every metric independently corroborated, narrative arc engineered for conversion , case studies that sell because they are true
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your marketing team drafts a case study: 'Acme Corp increased revenue by 47% in 90 days using our platform.' Phase 1: the agent runs `validate_journalistic_reasoning`.
Metric Verification: '47% revenue increase' , source? If this is from the customer's marketing team (who wants to look good), it is self-reported and needs independent corroboration.
Was revenue measured as MRR, ARR, or total contract value? 47% of what baseline? If Acme was at $50K MRR and grew to $73.5K, that is a different story than growing from $5M to $7.35M.
Temporal Context: '90 days' , did anything else change in those 90 days? Did Acme hire 3 new salespeople? Launch a new product? Run a major campaign? Attributing 100% of revenue growth to your platform when other variables changed is intellectually dishonest.
Quote Accuracy: the case study includes a quote from Acme's VP of Sales: 'This platform transformed our entire sales process.' Did the VP actually say this, or was it drafted by your marketing team and approved via email? Approved quotes are legal but should be noted , they carry less credibility than spontaneous testimonials.
Missing Context: the draft does not mention that Acme is an investor in your company. This relationship context is material , it changes how readers evaluate the endorsement.
Verdict: JOURNALISTIC_REASONING_WEAK , self-reported metrics, confounding variables, potentially drafted quotes, undisclosed relationship. Phase 2: the agent runs `validate_persuasion_copy` on the corrected version.
After journalistic corrections, the case study now reads: 'Acme Corp's MRR grew from $280K to $412K (47%) over 90 days.
During the same period, they hired 2 SDRs and launched a freemium tier. Our platform contributed to the growth through automated lead scoring and pipeline visibility, but we cannot claim sole credit.' Proof Hierarchy: the corrected version has a stronger proof hierarchy because it is honest.
Sophisticated buyers trust nuanced claims more than absolute ones. Narrative Arc: Problem (Acme's sales team could not prioritize leads) Implementation (our platform + their hiring + their freemium launch) Result (47% MRR growth, multi-factor attributed) CTA ('See how we can contribute to your pipeline , book a demo').
Connector Orchestration: 2 Connectors, one intelligent agent
Connect Persuasion Copywriting Prover and Journalistic Reasoning Prover Connectors so your AI agent creates case studies that are both persuasively compelling and journalistically verifiable. Phase 1: the agent runs the Journalistic Reasoning Prover to verify that every customer metric is corroborated (not just self-reported), that quotes are contextually accurate, that the success narrative does not omit inconvenient context, and that the case study maintains editorial independence despite being a marketing asset. Phase 2: the agent runs the Persuasion Copywriting Prover to structure the verified facts into a persuasive narrative arc , activating loss aversion through the problem, building a proof hierarchy from verified metrics, and delivering a transformation story that drives the reader toward a CTA. The result is a case study that converts because every claim can withstand scrutiny.
Journalistic Reasoning Prover
triggerVerifies customer metrics, corroborates claims, checks quote accuracy, and ensures editorial independence
validate_journalistic_reasoning Persuasion Copywriting Prover
actionStructures verified facts into persuasive narrative , loss aversion, proof hierarchy, transformation arc
validate_persuasion_copy Run This Automation Today
Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.
Build Your Own Connector
Convert any internal API into a Connector. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Connect & Automate
The 2 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.
- Journalistic Reasoning Prover & Persuasion Copywriting Prover ready in the catalog right now
- Add more from 5,800+ servers whenever you need
- Connections are secured and compliant by default
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added weekly
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 5,800+ Connectors and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across all tools, in one conversation. That's what this connectivity layer was built for.
Cross-Platform Intelligence
Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across all platforms.
Contextual Reasoning
Each decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.
Productivity at Scale
What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.
Zero-Config Reliability
No API keys to paste. No webhooks to configure. No YAML to debug. Connect your Connectors once, and your agent handles the rest. Each time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius AI Connectors to handle these for you. You describe what you need. It does the rest.
B2B marketing teams producing customer case studies who need a verification framework to ensure every metric and claim survives buyer due diligence
Enterprise sales teams using case studies in deal cycles who need materials that hold up when a procurement team or technical evaluator investigates the claims
Marketing agencies writing case studies for clients who need systematic quality control to prevent overclaiming that damages client credibility long-term
Customer marketing managers building reference programs who need to balance customer success storytelling with factual accuracy to maintain program integrity
Frequently Asked Questions About This Connector Orchestration
Which Connectors do I need?
Two: Journalistic Reasoning Prover and Persuasion Copywriting Prover.
Does this work with Claude Desktop, Cursor or Windsurf?
Yes. Any AI client that supports the Model Context Protocol works.
Will honest case studies convert less?
Not for sophisticated buyers. Enterprise procurement, technical evaluators, and experienced operators spot inflated claims instantly. Honest case studies build trust that converts at the decision stage, even if they generate fewer clicks at the awareness stage.
What if the customer does not want honest attribution?
That is a signal. If the customer's success depends on hiding confounding variables, the case study is more fiction than marketing. Consider whether publishing it creates liability risk.
Can this audit competitor case studies?
Yes. Run competitor case studies through the journalistic verification to identify overclaiming, missing context, and unverified metrics. This gives your sales team ammunition in competitive deals.
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Connectors used in this workflow
Journalistic Reasoning Prover
Journalistic Reasoning Prover forces your AI agent to stop making up experts and start citing real, verifiable sources. It checks for false balance and missing attributions based on the SPJ Code of Ethics, ensuring your AI-generated content stands up to professional scrutiny.
Persuasion Copywriting Prover
Persuasion Copywriting Prover. This tool audits your marketing copy to ensure it actually converts. It identifies robotic AI phrasing, checks for emotional triggers, verifies your proof hierarchy, and ensures your CTAs have actual friction-reduction. Stop publishing generic text that readers instantly distrust.