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ComponentsEngine
AvailabilityTODO: version or later

Overview

What the MCP Server does

Available Tools

What AI agents can access

Connect an AI Client

Claude, Cursor and others

Security

Access control and privacy
Draft: items marked TODO need to be confirmed by the GermainUX team before publishing.

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Overview

GermainUX now includes a built-in MCP Server. The Model Context Protocol (MCP) is an open standard that lets AI assistants and agents connect to external tools and data sources. With the GermainUX MCP Server, an MCP-compatible AI client can use GermainUX monitoring, analytics, and insights as context, so its answers are grounded in your real user, workflow, and technology data.
AI is only as accurate as the data behind it. The MCP Server gives AI agents access to the deep, contextual, and actionable data that GermainUX collects, rather than relying on prompts alone.

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Examples

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MCP Server for Salesforce

Watch how to use the GermainUX MCP Server with Salesforce:
You can also watch it on YouTube.

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MCP Server for Shopify

Watch how to use the GermainUX MCP Server with Shopify:
You can also watch it on YouTube.

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Use Cases

  • Ask an AI assistant what the top user frictions were in an application over a given period.
  • Investigate an alert or SLA violation from your AI assistant or IDE.
  • Summarize sessions, errors, or business-process issues affecting a group of users.
  • Retrieve KPI values and trends to include in an analysis or report.
  • Let an AI agent check GermainUX data before suggesting a fix or next step.
TODO: confirm and adjust the use cases supported in this release.

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Available Tools

The MCP Server exposes GermainUX capabilities to AI clients as MCP tools. TODO: list each tool, its parameters, and the data it returns.

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Prerequisites

  • GermainUX TODO: version or later.
  • A GermainUX user account with permission to the data the AI client will access.
  • An MCP-compatible AI client (TODO: confirm supported clients, for example Claude, Cursor, ChatGPT, VS Code).
  • Network access from the AI client to the GermainUX MCP Server endpoint.

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Enable the MCP Server

1

Open the MCP Server settings

TODO: menu path in GermainUX, for example Settings > AI > MCP Server.
2

Enable the MCP Server

TODO: describe the enable option and any related settings.
3

Create credentials

TODO: describe how to create an API token or configure OAuth for the AI client.
4

Copy the endpoint URL

TODO: endpoint format, for example https://<your-germainux-host>/TODO.

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Connect an AI Client

Add the GermainUX MCP Server to your AI client’s MCP configuration. The exact steps depend on the client. TODO: confirm the transport (for example Streamable HTTP) and authentication header.
After the client connects, ask it a question about your GermainUX data to confirm that the tools are available.

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Security and Access Control

  • The MCP Server respects GermainUX user permissions and team-based visibility (TODO: confirm).
  • Sensitive data masking and anonymization settings continue to apply (TODO: confirm).
  • Credentials should be stored securely and rotated regularly.
  • Data returned to an online LLM is processed by that LLM provider. Review your organization’s AI policies before connecting.
See AI Governance for how GermainUX handles AI security and responsible use.

AI Settings

Configure GermainUX AI

AI-Driven Insights

Insights and recommendations

Configure with WebMCP

Configure GermainUX with a browser agent

WebMCP Monitoring

Monitor WebMCP activity in browsers

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Get Help

Contact GermainUX Support

The GermainUX team helps you get up and running faster, empower your team, turn data into actionable insights, and optimize performance to deliver measurable business outcomes.

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The content of this document is proprietary to GERMAIN SOFTWARE.