The Tekst MCP integration lets you connect your Tekst workspace to AI assistants like Claude, Google Gemini, and Microsoft Copilot Studio. Once connected, you can ask questions about your processes, automations, analytics, and AI models in natural language - and get answers grounded in your actual data.
What is MCP?
The Model Context Protocol (MCP) is an open standard that allows AI assistants to securely connect to external data sources and tools. Instead of copying data into prompts manually, MCP gives your AI assistant direct access to your Tekst workspace. It retrieves the information it needs to answer your questions on the fly.
What can you do with it?
With the Tekst MCP integration, your AI assistant can:
- Analyze process mining data - throughput times, bottlenecks, and variant comparisons
- Review automation execution history and diagnose failures
- Run SQL queries against your analytics database to answer custom questions about ticket volumes, message trends, and automation performance
- Inspect AI model details and performance metrics
- Audit your integrations and team access
Getting started
To start using the Tekst MCP integration:
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Connect your AI client - Follow the setup guide for your platform:
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Explore the available tools - See what data your AI assistant can access in the Available Tekst MCP Tools article.
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Try some examples - Not sure what to ask? The Tekst MCP Usage Examples article walks through common prompts and what happens behind the scenes.
Troubleshooting
If you run into issues connecting or using the integration, see the Tekst MCP Troubleshooting guide.
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