Generic MCP Tool Integration

Overview

The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect with external data sources and tools. Klaudia's Generic MCP Tool support allows you to extend her investigation capabilities by connecting any MCP-compatible server, giving Klaudia access to your custom monitoring systems, internal tools, and specialized data sources.

With Generic MCP Tool integration, you can:

Connect proprietary or custom-built observability tools
Integrate internal knowledge bases and documentation systems
Access specialized data sources not covered by built-in integrations
Extend Klaudia's capabilities to match your unique infrastructure

How MCP Works with Klaudia

MCP servers act as bridges between Klaudia and your external systems. When configured, Klaudia can:

Discover available tools exposed by your MCP server
Call these tools during investigations to gather relevant data
Incorporate the returned information into root cause analysis
Use MCP data alongside built-in Kubernetes investigation capabilities

What Generic MCP Tools Can Do

General Capabilities

When connected to MCP servers, Klaudia can:

Query custom data sources: Access proprietary monitoring, logging, or metrics systems
Execute operations: Perform safe queries against your tools
Retrieve contextual information: Gather additional data to enrich investigations
Integrate with internal systems: Connect to wikis, runbooks, or knowledge bases

Example MCP Use Cases

Use Case	Description
Internal Metrics Platform	Query custom metrics from homegrown observability stacks
Runbook Repository	Retrieve relevant runbooks based on issue classification
CMDB Integration	Look up service ownership, dependencies, and configuration
Security Scanning	Query vulnerability data related to affected containers
Feature Flags	Check feature flag states that might impact service behavior

When Klaudia Uses MCP Tools

Klaudia leverages connected MCP tools in the following scenarios:

Root Cause Analysis (RCA) Investigations

During automated investigations, Klaudia may:

Query your custom monitoring systems for relevant metrics
Access internal documentation for service-specific context
Retrieve configuration data from CMDBs or service catalogs
Look up related incidents in custom ticketing systems

Troubleshooting Unhealthy Resources

When investigating specific issues, Klaudia can:

Use MCP tools to gather additional diagnostic data
Cross-reference findings with custom data sources
Access specialized tools for specific technology stacks

Chat Sessions with Klaudia

You can explicitly request Klaudia to use MCP tools:

"Check our internal metrics platform for the API gateway latency"
"Look up the runbook for database failover procedures"
"Query the CMDB for the upstream dependencies of payment-service"