MCP Orlen Wholesale Price is an MCP server that provides access to Polish Orlen fuel wholesale pricing data directly inside AI assistants. It connects Model Context Protocol clients like Claude Desktop to historical and current wholesale fuel market price information published by Orlen. Energy market analysts, logistics coordinators, fleet managers, and developers use this tool to inspect fuel market trends without needing to manually scrape or look up pricing records on external websites. By exposing wholesale fuel data via standardized MCP tools, the server enables users to prompt language models for detailed price summaries, historical price tracking, and trend charts over specified time ranges in both English and Polish. Because it is implemented as a standalone Java application packaged in a JAR file, users run it locally on their systems alongside their MCP client. This setup allows conversational workflows to evaluate fuel cost changes, assess operational overhead, and integrate actual wholesale rates into broader financial or supply chain analyses.
Category: Data & Analytics
Tags: energy, fuel, orlen, pricing, wholesale
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mcp-orlen-0.1.0.jar) from the project releases at https://github.com/drnow4u/mcp-orlen. 3. Open Developer Settings in Claude Desktop and click Edit Config to access claude_desktop_config.json. 4. Add the server under mcpServers: json { "mcpServers": { "orlenWholesalePriceJar": { "command": "path/to/java", "args": [ "-jar", "path/to/mcp-orlen-0.1.0.jar" ] } } } 5. Replace the placeholder paths with the actual path to your Java binary and JAR file. 6. Restart Claude Desktop.Part of MCP Servers
To install the server, ensure Java 24 is installed on your system, then download the latest JAR release from the GitHub repository. Next, add the Java execution command pointing to the JAR file within your Claude Desktop configuration file and restart the application.
The server was tested and documented for Claude Desktop on macOS and Windows. Any Model Context Protocol client capable of launching and communicating with a local Java subprocess over standard input and output can also connect to and query it.
The server fetches wholesale fuel price data from Orlen. It allows connected AI models to retrieve current fuel rates, track price shifts over historical timeframes, and generate descriptive visualizations or charts based on the wholesale pricing history.
Yes, the server supports interactions in both Polish and English. You can formulate prompts in Polish, such as asking for wholesale fuel price charts over the past month, and the model will interpret the request and query the data.