MCP Server Implementation
Description
# MCP Server Implementation **Name**: Jafar Alzoubi **Student ID**: A20501723 ## Implemented Capabilities - HDF5 (Data) - Slurm (Tool) ## Setup 1. Install uv: `pip install uv` 2. Create environment: `uv venv` 3. Activate: `source .venv/bin/activate` 4. Sync dependencies: `uv…
About
# MCP Server Implementation **Name**: Jafar Alzoubi **Student ID**: A20501723 ## Implemented Capabilities - HDF5 (Data) - Slurm (Tool) ## Setup 1. Install uv: `pip install uv` 2. Create environment: `uv venv` 3. Activate: `source .venv/bin/activate` 4. Sync dependencies: `uv sync` ## Running Server `uvicorn…
Details
- Author
- jalzoubi
- Downloads
- 223
- Categories
- Other
Jump to
- HDF5 data operations (list, read, metadata)
- Slurm job submission simulation with status tracking
- Full JSON-RPC 2.0 compliance
- Async request processing
- 100% test coverage for both capabilities
- Mock data included in mock_data/ directory
Install uv, create and activate a virtual environment, sync dependencies with uv sync, then start the server with uvicorn src.server:app --reload. Interact via HTTP POST to http://127.0.0.1:8000/mcp with JSON-RPC 2.0 payloads. Run tests with pytest tests/.
MCP Server Implementation
Name: Jafar Alzoubi
Student ID: A20501723
Implemented Capabilities
- HDF5 (Data) - Slurm (Tool)Setup
1. Install uv:pip install uv
2. Create environment: uv venv
3. Activate: source .venv/bin/activate
4. Sync dependencies: uv sync
Running Server
uvicorn src.server:app --reload
Running Tests
pytest tests/
Assumptions
- HDF5 mock data stored inmock_data/hdf5
- Slurm simulation uses local echo commandsSign in to leave a review
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