Metadata-Version: 2.4
Name: ami-mcp
Version: 0.1.0
Summary: MCP Server for ATLAS AMI metadata interface
Project-URL: Homepage, https://github.com/kratsg/ami-mcp
Project-URL: Bug Tracker, https://github.com/kratsg/ami-mcp/issues
Project-URL: Discussions, https://github.com/kratsg/ami-mcp/discussions
Project-URL: Changelog, https://github.com/kratsg/ami-mcp/releases
Author-email: Giordon Stark <kratsg@gmail.com>
License-Expression: Apache-2.0
License-File: LICENSE
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Topic :: Scientific/Engineering
Classifier: Typing :: Typed
Requires-Python: >=3.10
Requires-Dist: mcp>=1.0
Description-Content-Type: text/markdown

# ami-mcp v0.1.0

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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.

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## 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

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## Installation

```bash
pip install ami-mcp
```

Or with pixi (recommended for ATLAS facilities):

```bash
pixi add ami-mcp
```

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## 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)

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## Quick start

### 1. Set up authentication

```bash
voms-proxy-init -voms atlas
```

**On CVMFS-based facilities (e.g. UChicago Analysis Facility, CERN lxplus):**

```bash
export X509_CERT_DIR=/cvmfs/atlas.cern.ch/repo/ATLASLocalRootBase/etc/grid-security-emi/certificates
```

### 2. Test the server

```bash
ami-mcp serve
```

The server speaks MCP over stdio. Configure your MCP client to launch it.

### 3. Configure Claude Code

Add to your `.mcp.json` (project) or `~/.claude.json` (global):

```json
{
  "mcpServers": {
    "ami": {
      "command": "ami-mcp",
      "args": ["serve"],
      "env": {
        "X509_CERT_DIR": "/cvmfs/atlas.cern.ch/repo/ATLASLocalRootBase/etc/grid-security-emi/certificates",
        "ATLAS_PMGXSEC_PATH": "/cvmfs/atlas.cern.ch/repo/sw/database/GroupData/dev/PMGTools"
      }
    }
  }
}
```

### 4. Configure Claude Desktop

Add to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS)
or `%APPDATA%\Claude\claude_desktop_config.json` (Windows):

```json
{
  "mcpServers": {
    "ami": {
      "command": "ami-mcp",
      "args": ["serve"],
      "env": {
        "X509_CERT_DIR": "/path/to/ca-certificates",
        "ATLAS_PMGXSEC_PATH": "/path/to/PMGTools"
      }
    }
  }
}
```

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## Available tools

### AMI queries

| Tool                   | Description                                                |
| ---------------------- | ---------------------------------------------------------- |
| `ami_execute`          | Execute any AMI command string (primary power tool)        |
| `ami_get_dataset_info` | Get metadata for a dataset (nFiles, nEvents, status, etc.) |
| `ami_get_dataset_prov` | Get provenance chain (EVNT→HITS→RDO→AOD→DAOD)              |
| `ami_list_datasets`    | Search for datasets matching a name pattern                |

### PMG hashtags

| Tool                       | Description                                                          |
| -------------------------- | -------------------------------------------------------------------- |
| `ami_search_by_hashtags`   | Find datasets by hashtag combination (e.g. WeakBoson/Vjets/Baseline) |
| `ami_get_dataset_hashtags` | Look up PMGL1–PMGL4 classification for a dataset                     |

### Physics metadata

| Tool                     | Description                                             |
| ------------------------ | ------------------------------------------------------- |
| `ami_get_physics_params` | Get cross-section, filter efficiency, k-factor from AMI |
| `ami_get_ami_tag`        | Get AMI processing tag info (e.g. e8351, p5855)         |

### Cross-section database

| Tool                      | Description                                                 |
| ------------------------- | ----------------------------------------------------------- |
| `ami_list_xsec_databases` | List available PMGxsecDB\_\*.txt files                      |
| `ami_lookup_xsec`         | Look up DSID cross-section, filter eff, k-factor in xsec DB |

### Validation

| Tool                  | Description                                                  |
| --------------------- | ------------------------------------------------------------ |
| `ami_validate_sample` | Check hashtag classification and compare metadata to xsec DB |

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## Example prompts

Once configured, you can ask Claude things like:

- _"Find all Baseline WeakBoson/Vjets samples in mc21_13TeV"_
- _"What are the cross-section and filter efficiency for DSID 700320?"_
- _"Look up the hashtag classification for this EVNT dataset"_
- _"Validate these samples against the mc21 cross-section database"_
- _"Show me the provenance chain for this DAOD dataset"_
- _"What AMI tag e8351 corresponds to — which generator version?"_

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