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Karyam

MCP Examples

The true power of MCP becomes visible when external tools are combined with:

  • Agents
  • AI Flows
  • Knowledge & RAG
  • Human Approvals
  • Observability

This section demonstrates common enterprise patterns for building production-ready AI systems with Karyam.


Example 1 — GitHub Engineering Assistant

Section titled “Example 1 — GitHub Engineering Assistant”

Engineering teams spend significant time performing repetitive repository operations:

  • Creating issues
  • Reviewing pull requests
  • Searching repositories
  • Checking CI pipelines

Developer Request
↓
AI Agent
↓
GitHub MCP Server
↓
GitHub API
↓
Repository Action

Create a GitHub issue for the VPN renewal bug and assign it to the platform team.

The agent can:

  • Create issues
  • Assign owners
  • Apply labels
  • Set priorities

Developer Request
↓
Create Issue Tool
↓
Issue Created
↓
Notify Team

IT teams spend time handling repetitive support requests.

Examples include:

  • VPN access
  • Password resets
  • Access requests
  • Software installation requests

Employee Request
↓
AI Agent
↓
Vector Search
↓
HR MCP Server
↓
Approval Flow
↓
Ticket Creation

My VPN access expired. Can you restore it?

The AI system can:

  • Retrieve company policy
  • Verify employee eligibility
  • Request approval
  • Create tickets
  • Notify the employee

Request Received
↓
Retrieve Policy
↓
Check Employee Status
↓
Approval Required?
↙ ↘
Yes No
↓ ↓
Manager Create Ticket
Approval

Incident response often requires multiple systems and manual coordination.


Production Alert
↓
AI Agent
↓
Prometheus Skill
↓
GitHub MCP
↓
Google Chat

Investigate API latency spikes in production.

The AI system can:

  • Query Prometheus metrics
  • Analyze failures
  • Create incident tickets
  • Notify teams
  • Generate summaries

Alert Triggered
↓
Fetch Metrics
↓
Analyze Incident
↓
Create Ticket
↓
Notify Team

Employees frequently ask HR-related questions.

Examples:

  • Leave balances
  • Policies
  • Reporting structure
  • Benefits

Employee Request
↓
AI Agent
↓
Vector Search
↓
HR MCP Server
↓
Response

How many annual leaves do I have remaining?

The AI system can:

  • Retrieve policies
  • Query HR systems
  • Verify eligibility
  • Generate responses

Example 5 — Finance Operations Assistant

Section titled “Example 5 — Finance Operations Assistant”

Finance teams often need information spread across multiple systems.


Finance Request
↓
AI Agent
↓
ERP MCP Server
↓
Approval Workflow

Approve purchase order PO-1042 for ₹50,000.

The AI system can:

  • Retrieve purchase details
  • Validate budgets
  • Trigger approvals
  • Record decisions

Purchase Request
↓
Validate Budget
↓
Approval Required
↓
Finance Approval
↓
Update ERP

Security teams must react quickly to vulnerabilities and incidents.


Security Alert
↓
AI Agent
↓
OSV Database
↓
GitHub MCP
↓
Approval Workflow

Are any of our repositories affected by this vulnerability?

The AI system can:

  • Query OSV
  • Search repositories
  • Identify affected projects
  • Create remediation tasks

Support teams spend time switching between systems.


Customer Query
↓
AI Agent
↓
CRM MCP Server
↓
Knowledge Retrieval
↓
Response

What is the status of customer ACME Corp's subscription renewal?

The AI system can:

  • Query CRM data
  • Retrieve contract information
  • Generate customer responses

Infrastructure changes often require governance and approvals.


Change Request
↓
AI Agent
↓
SSH Skill
↓
Approval Required
↓
Human Approval
↓
Execute Change

Restart the production payment service.

The AI system can:

  • Verify permissions
  • Request approval
  • Execute commands
  • Record audit logs

MCP is not just about connecting tools.

It is about combining:

Knowledge
+
Agents
+
Skills
+
MCP Servers
+
Flows
+
Approvals
+
Observability
↓
Production AI Systems

The examples above are only starting points.

Organizations use MCP to connect:

  • Internal APIs
  • ERP systems
  • HR platforms
  • Development tools
  • Monitoring systems
  • Proprietary applications

The possibilities grow with your business.


Want to learn more about the Model Context Protocol?

Visit the official MCP website:

🌐 https://modelcontextprotocol.io/