Tekst MCP Usage Examples

This article provides practical examples of how to use the Tekst MCP integration with your AI assistant. Each example shows a realistic prompt and describes what happens behind the scenes.

Example 1: Analyze process performance

User prompt:

"Which of my processes has the highest average throughput time? Are any of them exceeding their targets?"

What happens:

1. The assistant calls the list processes tool to retrieve all your active processes.

2. The assistant calls the get totals tool to retrieve aggregate KPIs including average throughput time and on-target counts.

3. The assistant calls the get graph paths tool for each process to compare throughput times across variants.

4. The assistant presents a summary showing which processes are performing well and which ones are exceeding their throughput targets, along with recommendations for where to investigate further.

Example 2: Query ticket analytics

User prompt:

"How many tickets did we receive per day last week, broken down by integration?"

What happens:

1. The assistant calls the describe tables tool to understand the available analytics schema and column definitions.

2. The assistant writes and executes a SQL query against the analytics database that counts tickets per day for the past seven days, grouped by integration source.

3. The assistant presents the results in a clear table format showing daily ticket volumes for each integration (such as Zendesk, Salesforce, or Gmail).

Example 3: AI model overview

User prompt:

"Give me an overview of all my AI models"

What happens:

1. The assistant calls the list models tool to retrieve all AI models.

2. For each model, the assistant calls the get model tool to retrieve performance metrics and label information.

3. The assistant presents a summary table showing each model's name, status, and key performance indicators.

Example 4: Audit integrations and team access

User prompt:

"List all our active integrations and team members. I want to understand who has access and what data sources we are pulling from."

What happens:

1. The assistant calls the list integrations tool to retrieve all connected data sources with their types and group assignments.

2. The assistant calls the list users tool to retrieve all organization members with their roles.

3. The assistant presents a combined overview showing your data sources (such as Zendesk, Salesforce, and Gmail), the groups they belong to, and your team members with their respective access levels.