# Connect Local LLMs to Real-Time Data with CData MCP Servers

**URL:** <https://community.cdata.com/t/connect-local-llms-to-real-time-data-with-cdata-mcp-servers/1172>\
**Category:** CData MCP Servers\
**Tags:** cdata-mcp, cdata-mcp-servers, ai-integration, discussion, ai\
**Created:** [August 25, 2025, 9:47pm UTC](https://community.cdata.com/t/connect-local-llms-to-real-time-data-with-cdata-mcp-servers/1172 "2025-08-25T21:47:50Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Cameron\_L](https://avatars.discourse-cdn.com/v4/letter/c/e95f7d/32.png) [@Cameron\_L](https://community.cdata.com/u/Cameron_L)\
**Post date:** [August 25, 2025, 9:47pm UTC](https://community.cdata.com/t/connect-local-llms-to-real-time-data-with-cdata-mcp-servers/1172/1 "2025-08-25T21:47:51Z")

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Running large language models (LLMs) locally is gaining popularity, giving users more control, privacy, and flexibility. With [LM Studio](https://lmstudio.ai/), you can easily manage and run open-source LLMs right on your desktop.

When combined with CData MCP Servers, you can connect those models to live enterprise data for real-time insights, analytics, and automation. Our latest article reviews why local LLMs are on the rise and provides a&nbsp;guide to connecting LM Studio to enterprise data with CData MCP Servers.

Read the full article:&nbsp;[https://www.cdata.com/kb/articles/mcp-lmstudio.rst](https://www.cdata.com/kb/articles/mcp-lmstudio.rst)