> For the complete documentation index, see [llms.txt](https://docs.elimity.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.elimity.com/mcp-general-information/general-information.md).

# General Information

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Note that any usage of the Elimity Insights MCP server requires a separate license. Please contact your Elimity representative for additional information.
{% endhint %}

The Elimity Insights MCP server exposes your Elimity Insights data to AI tools and agents (such as Claude and Copilot) through the [Model Context Protocol](https://modelcontextprotocol.io) (MCP), an open standard for connecting AI applications to external systems. It lets these tools query Insights on behalf of an authenticated user, rather than on a shared service account or by scraping the Insights UI.

**Note:** As of v1.0.0, the MCP server only supports read access. Actions that create or modify data in Elimity Insights are not yes exposed through MCP.

SaaS customers don't need to deploy or configure the MCP server themselves: Elimity hosts and manages it on their behalf, and only need to point their MCP client at the server URL communicated by their account manager. On-prem customers deploy the MCP server themselves, alongside an OAuth2 authorization server that authenticates both the incoming MCP client and the MCP server's own requests to Elimity Insights.

These pages describe how the MCP server fits together, how to deploy it on-prem, and how to configure the corresponding `mcpJwtValidation` settings on your Elimity Insights server.

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[Installation](/mcp-reference-manual/installation.md)
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[Release Notes](/mcp-general-information/release-notes/v1.0.0.md)
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{% content-ref url="/spaces/UYOtmS0JmAI0xHx8RpgQ/pages/JyQIwXNby2xBBLD41guW" %}
[Step-by-step deployment guide](/mcp-reference-manual/step-by-step-deployment-guide.md)
{% endcontent-ref %}

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[Connecting an MCP Client](/mcp-reference-manual/connecting-an-mcp-client.md)
{% endcontent-ref %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.elimity.com/mcp-general-information/general-information.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.