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MCP Recipe for White-Label Support Dashboards.

Your agency offers 'managed support' to 8 clients but the support manager juggles 8 separate Freshdesk views, 8 different SLAs, and has no way to show any client their ticket resolution data without building a report from scratch

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Works with every AI agent you already use

…and any MCP-compatible client

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AI Agent
Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel

How It Works

Your AI agent reads all tickets from Freshdesk, segmented by client account , ticket volume, categories, priority distribution, response times, resolution times, SLA compliance, and agent assignments.

For each client, it builds two outputs. First, a Notion support wiki: 'Client BrandCo , Top issues: password reset (28%), billing questions (22%), feature requests (18%).

Playbook: password reset link to KB article, billing escalate to finance, feature requests log in product board.' Second, a Google Sheet dashboard: 'BrandCo , June: 142 tickets.

First response time: 2.1 hours (SLA: 4 hours, compliant). Resolution time: 8.4 hours (SLA: 24 hours, compliant). SLA compliance: 97%.

Satisfaction: 4.2/5.' The agency sends each client their dashboard , white-labeled, professional, data-driven , proving the value of managed support without the support manager spending 2 hours per client on manual reporting.

Connector Orchestration: 3 Connectors, one intelligent agent

Connect Freshdesk, Notion and Google Sheets Connectors so your AI agent reads ticket data across all client accounts in Freshdesk, builds per-client support wikis in Notion with resolution playbooks, and generates white-label performance dashboards in Google Sheets showing SLA compliance, resolution time trends, and ticket volume patterns. Agencies offering managed support or customer success as a service , where one support team handles tickets for multiple clients with different SLAs, different escalation rules, and different reporting expectations , but there is no unified view of multi-tenant support performance and no easy way to produce client-facing reports without spending 2 hours per client per month on manual data assembly.

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
Start building

Connect & Automate

The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.

  • Freshdesk, Notion & Google Sheets 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.

Superpower 01

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.

Superpower 02

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.

Superpower 03

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.

Superpower 04

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.

Agencies offering managed support or customer success as a service across multiple client accounts

Support team leads managing multi-tenant Freshdesk environments who need unified SLA compliance reporting

Agency operations teams building white-label support dashboards to justify managed support retainer value

Support managers creating resolution playbooks per client to reduce training time and standardize quality

Frequently Asked Questions About This Connector Orchestration

Which Connectors do I need for this workflow?

Three: Freshdesk, Notion and Google Sheets. Connect all three to your AI client before running any prompt from this page.

Does this work with Claude Desktop, Cursor or Windsurf?

Yes. Any AI client supporting the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others.

Can I brand the dashboards with my agency logo?

The Google Sheet dashboards are created in your Drive. You can add your branding, agency logo and formatting. The agent populates the data , you control the design.

Is my support data secure?

Connectors authenticate through API keys. Freshdesk, Notion and Google Sheets data stays in your accounts. Vinkius does not store your ticket data.

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