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Copy file name to clipboardExpand all lines: _posts/2025-12-03-rmv_mcp_server.markdown
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@@ -6,11 +6,33 @@ categories: [AI, KI]
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tags: [mcp, stdio, uv, python]
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---
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Last week i showcased one of the most impressive tools in AI i've seen so far: MCP servers.
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The audience was company wide - open to technical and non-technical listeners during a developer exchange with my employer.
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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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-`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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```
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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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...
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```
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Please find the full converstion [here](https://claude.ai/share/881a9f3d-e46c-4375-b35b-d755a06c06f1)
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In my eyes MCP is one of the most impressive tools in AI i've seen so far.
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They enable chat bots or agents to use information that is not stored in their LLMs brain.
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Enabling them to systematically use data there were NOT trained with.
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Most data is hidden in databases, filesystems, mail-servers, Sharepoint, Jira,... or behind APIs.
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Accesible very often only by writing code, SQL quueries etc.
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Accessible very often only by writing code, SQL queries etc.
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MCP servers bring super powers to users because they can query company data using natural language.
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@@ -21,10 +43,4 @@ Which products generated most revenue during christmas season last year.
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please group result by city.
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```
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## MCP?
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* Model -> The LLMs brains
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* Context -> Your question
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* Protocol -> Communication between the ChatBot and MCP server
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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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