llm-experimentations
@mborne
About llm-experimentations
[DOC] Some experimentations with ChatGPT and IGNF APIs (french)
Basic information
Config
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RepositoryTools
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Overview
What is llm-experimentations?
A repository of experiments exploring LLM capabilities, including a prototype MCP server that calls the French Géoplateforme service for geographic data.
How to use llm-experimentations?
The repository contains multiple sub‑experiments. The MCP server is located in the mcp-server-gpf directory; refer to its README for installation and configuration details.
Key features of llm-experimentations
- Integrates ChatGPT with IGN APIs (geocoding, postal codes, wine appellations)
- Generates client code for IGN APICARTO and Géoplateforme services
- Tests AI‑assisted code generation (Cursor, ChatGPT)
- Implements a prototype MCP server for geographic data access
- All code in the repository is generated by ChatGPT
Use cases of llm-experimentations
- Experiment with LLM ability to search and use official geographic web services
- Generate client‑side code for IGN’s APICARTO and Géoplateforme APIs
- Compare the quality of code produced by different AI coding assistants
FAQ from llm-experimentations
What does the MCP server do?
It is a test implementation of an MCP server that calls a Géoplateforme service, exploring protocol capabilities for geographic data.
Do I need a paid account to use this?
Creating GPTs with actions (custom GPTs that call APIs) requires a paid ChatGPT Plus or Team subscription.
Who generated the code in this repository?
All code in the repository is generated by ChatGPT, as stated in the project’s warning.
Where can I find the actual MCP server code?
The MCP server is in the mcp-server-gpf subdirectory; its own README provides further details.
What transport or authentication does the MCP server use?
The README does not specify transport or authentication details; refer to the mcp-server-gpf sub‑README.
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