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# ami-mcp v0.3.1 [![Actions Status][actions-badge]][actions-link] [![Documentation Status][rtd-badge]][rtd-link] [![PyPI version][pypi-version]][pypi-link] [![PyPI platforms][pypi-platforms]][pypi-link] [![GitHub Discussion][github-discussions-badge]][github-discussions-link] [![Coverage][coverage-badge]][coverage-link] <!-- --8<-- [start:intro] --> An MCP server that wraps [ATLAS AMI](https://ami.in2p3.fr) (ATLAS Metadata Interface) and the PMG cross-section database, exposing them as tools for LLMs. Designed for ATLAS physicists who need to discover MC samples, look up cross-sections and filter efficiencies, and validate PMG hashtag classifications. <!-- --8<-- [end:intro] --> <!-- --8<-- [start:what-it-does] --> ## What it does `ami-mcp` lets Claude (or any MCP-compatible LLM) query ATLAS metadata directly: - **Discover samples**: search for MC datasets by PMG hashtag classification (WeakBoson/Vjets/Baseline), by name pattern, or by arbitrary AMI query - **Look up metadata**: retrieve cross-sections, filter efficiencies, k-factors, dataset provenance, and AMI processing tag info - **Query cross-section DB**: look up DSID entries in the PMG xsec database files (PMGxsecDB_mc16.txt, etc.) - **Validate samples**: check hashtag classifications and compare metadata against the PMG cross-section database - **General queries**: execute arbitrary AMI command strings formulated by the LLM using the `ami://query-language` resource as a guide <!-- --8<-- [end:what-it-does] --> <!-- --8<-- [start:installation] --> ## Installation ```bash pip install ami-mcp ``` Or with pixi (recommended for ATLAS facilities): ```bash pixi add ami-mcp ``` <!-- --8<-- [end:installation] --> <!-- --8<-- [start:requirements] --> ## Requirements - Python 3.10 or 3.11 (pyAMI requires `<3.12`) - A valid VOMS proxy (`voms-proxy-init -voms atlas`) - Grid CA certificates (available on CVMFS at ATLAS sites) <!-- --8<-- [end:requirements] --> <!-- --8<-- [start:quick-sta…
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