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_posts/2025-12-03-rmv_mcp_server.markdown renamed to _drafts/2025-12-03-rmv_mcp_server.markdown

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@@ -6,19 +6,48 @@ categories: [AI, KI]
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tags: [mcp, stdio, uv, python]
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## TL;DR
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MCP servers connect ChatBots and AI agents to the real world:
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They open up the possibility to ask natural language questions on custom data.
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## How it works
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I'll show you how to connect claude desktop to an MCP server.
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### Different approaches
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There're three ways to integrate MCP servers:
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- STDOIO
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- HTTP
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- SSE (legacy)
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#### STDIO
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Used when MCP server and chatbot / AI agent run on the same machine
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#### HTTP
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In case both components run on different hosts, for redundancy or scalability.
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#### SSE (legacy)
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Server Sent Events is what was used in the beginning. It's still supported
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## Show me the code
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[I built an example showing the possibilities with public transport data in Frankfurt, Germany](https://github.com/CWACoderWithAttitude/rmv-mcp-server).
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You can use "normal" queries like :
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```
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I want to go from Königsteiner Strasse in Höchst to Landgasthof Alt Bischofsheim in Maintal.
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```
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Using the chat bots
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- `LLM` (the model - thats what the model "M" in MCP stands for) the bot/agent understands the
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- `LLM` (the model - that's what the model "M" in MCP stands for) the bot/agent understands the
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- `question` (that would be the context "C" in MCP): the query is split into main concepts and then
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- uses `external` resources - public RMV in this case - to answer the question.
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The standardized communication makes up for the protocol "P" in MCP.
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The above question leads to this answer:
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```
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Ich helfe dir gerne bei der Routenplanung mit dem RMV! Lass mich zunächst die beiden Stationen suchen.
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