# Pythia MCP

> Use this tool when you need to analyze Higgs boson phenomenology and LHC experimental data to constrain new physics theories. It calculates likelihoods and signal strengths for various particle physics scenarios, taking in theoretical models and experimental data as inputs and producing likelihood values and signal strength outputs. Ideal for use in high-energy physics research, particularly when interpreting LHC data and testing new physics theories.

Canonical page: https://skillsregistry.net/skills/consigcody94-pythia-mcp  
JSON: https://api.skillsregistry.net/v1/skills/consigcody94-pythia-mcp

## Description

An MCP server that interfaces with the Lilith library to analyze Higgs boson phenomenology and LHC experimental data. It enables AI assistants to constrain new physics theories by calculating likelihoods and signal strengths for various particle physics scenarios.

## Trust

- **Trust score (0–1):** 0.53
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/prqs0zinwy)
- **Repository:** <https://github.com/consigcody94/pythia-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "consigcody94-pythia-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/consigcody94-pythia-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/consigcody94-pythia-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt