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fix: MCP documenation following last update #1052

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1 change: 0 additions & 1 deletion docs/reference/cli/evcc.md
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,6 @@ evcc [flags]
--ignore-db Run command ignoring service database
-l, --log string Log level (fatal, error, warn, info, debug, trace) (default "info")
--log-headers Log headers
--mcp Expose MCP service (experimental)
--metrics Expose metrics
--profile Expose pprof profiles
--template string Add custom template file (debug only)
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2 changes: 1 addition & 1 deletion ...en/docusaurus-plugin-content-blog/2025-07-30/highlights-config-ui-feedin-ai.mdx
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Expand Up @@ -177,7 +177,7 @@ More about this [here](https://github.com/evcc-io/evcc/issues/21747).

With the [Model Context Protocol](https://en.wikipedia.org/wiki/Model_Context_Protocol) (MCP for short), it's possible to give LLMs like Claude, Gemini, and ChatGPT structured access to external systems, such as evcc.

With the [CLI flag](https://docs.evcc.io/docs/reference/cli/evcc) `--mcp`, you can activate an experimental MCP server when starting evcc.
When experimental is activated [MCP](https://docs.evcc.io/en/docs/integrations/mcp), an experimental MCP server will be enabled in evcc.
You can include the new endpoint (e.g., `http://evcc.local:7070/mcp`) in your LLM's configuration.

The topic of MCP and the available tools are still very young and constantly changing.
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12 changes: 2 additions & 10 deletions i18n/en/docusaurus-plugin-content-docs/current/integrations/mcp.mdx
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Expand Up @@ -15,11 +15,7 @@ The MCP server is experimental and may change at any time.

With the [Model Context Protocol](https://en.wikipedia.org/wiki/Model_Context_Protocol) (MCP for short), it is possible to give LLMs like Claude, Gemini, and ChatGPT structured access to external systems, such as evcc.

Start evcc with the MCP server enabled:

```bash
evcc --mcp
```
MCP server is enabled on boot if experimental is activated.

## Usage with Claude Code

Expand All @@ -42,11 +38,7 @@ Of course, you can also use other LLMs like Gemini or ChatGPT.
claude mcp add --transport http evcc http://localhost:7070/mcp
```

4. Make sure your evcc instance is running with the MCP server:

```bash
evcc --mcp
```
4. Make sure your evcc instance is running with the MCP server by checking MCP card in the UI configuration.

5. Start Claude Code and enter a query.

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