A Model Context Protocol (MCP) server for searching, fetching, serving, and running Ersilia Model Hub models
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# MCP server for the Ersilia Model Hub A [Model Context Protocol](https://modelcontextprotocol.io) server built on the official FastMCP SDK. It lets MCP clients search the Ersilia Model Hub catalog and fetch, serve, and run its AI/ML models, all over stdio. | Primitive | Name | Description | | --------- | ---------------------------------- | ------------------------------------------------------ | | Tool | `search_model` | Searches the Ersilia model hub catalog by keyword. | | Tool | `fetch_model` | Downloads a model to the local machine. | | Tool | `check_model_fetched` | Reports whether a model has already been fetched. | | Tool | `serve_model` | Starts a fetched model so it can accept predictions. | | Tool | `generate_inputs` | Samples example inputs from a served model and writes them to a file. | | Tool | `predict` | Runs predictions with a served model and writes a CSV. | | Tool | `close_model` | Stops a served model and frees its resources. | | Tool | `delete_model` | Deletes a fetched model from local storage. | | Tool | `inspect_isaura_cache` | Reports how many inputs are already cached in Isaura. | | Tool | `read_precalculations_from_isaura` | Retrieves cached results instead of recomputing them. | | Tool | `write_precalculations_to_isaura` | Stores results so they can be read back later. | | Tool | `persist_isaura_data` | Routes a project bucket's rows into the shared Isaura buckets. | | Tool | `remove_from_isaura` | Removes specific inputs from a model's data in a bucket. | A typical workflow is `search_model` → `fetch_model` → `serve_model` → `predict` → `close_mod…
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