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Co-authored-by: David Dougherty <[email protected]>
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content/integrate/redis-mcp/_index.md

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@@ -18,7 +18,7 @@ The [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction)
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is a standard that lets AI agents access data and perform actions. Using MCP,
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your server can publish a set of commands that are usable by any MCP-compatible
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client app (such as [Claude Desktop](https://claude.ai/download) or
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[VSCode](https://code.visualstudio.com/)). These commands can retrieve
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[VS Code](https://code.visualstudio.com/)). These commands can retrieve
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whatever data you wish to provide and you can also let the agent make
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changes to the data. For example, you could publish a feed of news items that
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an agent can use in its responses, and also let the agent add the user's
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- "What is user:1's email?"
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See the other pages in this section to learn how to set up and use Redis MCP.
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See also the [Github repository](https://github.com/redis/mcp-redis) for
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See also the [GitHub repository](https://github.com/redis/mcp-redis) for
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the latest changes.

content/integrate/redis-mcp/client-conf.md

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@@ -46,7 +46,7 @@ basic approach is similar in each case. The pages listed below
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give the general configuration details for some common MCP client tools:
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- [Claude Desktop](https://modelcontextprotocol.io/quickstart/user)
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- [Github Copilot for VSCode](https://code.visualstudio.com/docs/copilot/chat/mcp-servers)
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- [GitHub Copilot for VS Code](https://code.visualstudio.com/docs/copilot/chat/mcp-servers)
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- [OpenAI](https://openai.github.io/openai-agents-python/mcp/)
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### Local servers
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MCP server, you may be able to configure it directly from the app (but
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if you can't, then see [Using a gateway](#using-a-gateway) for an alternative approach). For
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example, the following `JSON` element configures
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[Github Copilot for VSCode](https://code.visualstudio.com/docs/copilot/overview)
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[GitHub Copilot for VS Code](https://code.visualstudio.com/docs/copilot/overview)
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to use an `sse` type server running at `127.0.0.1`:
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```json

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