ParticlePhysics MCP Server
Provides seamless access to particle physics data from the Particle Data Group (PDG) for AI assistants and applications.
ParticlePhysics MCP Server
A Model Context Protocol server that lets Claude Desktop, IDEs, and other MCP clients look up particle properties and decay modes.
Supports natural-language queries (muon plus, pion zero, antiproton, anti up quark),
case-insensitive lookup, MC IDs (-13), and returns both human-readable text and a
structured JSON payload.
Table of Contents
Features
search_particle— mass (MeV + GeV), charge, spin, color, parity / C / I / G, lifetime or width, MCID, review IDlist_decays— exclusive / inclusive branching fractions with the source method named- Natural-language input —
muon plus,positive tau,pion zero,kaon minus - Anti-particle support —
antimuon,anti up quark,ubar,u bar,u_bar,u~,antineutron; resolved via MCID negation, no name guessing - MC ID lookup — query directly with
11,-2212, etc. - Self-conjugate aware —
anti photonresolves togamma,anti pi0topi0 - Structured output — every response includes a fenced
```jsonblock alongside the human-readable text
Install
git clone https://github.com/uzerone/particlephysics-mcp-server.git
cd particlephysics-mcp-server
pip install -e .
Configure your MCP client
Add one of the following to your client's MCP config (e.g. claude_desktop_config.json).
Using uvx from the cloned repo (no global install needed):
{
"mcpServers": {
"particlephysics": {
"command": "uvx",
"args": ["--from", "/absolute/path/to/particlephysics-mcp-server",
"python", "-m", "particlephysics_mcp_server"]
}
}
}
Using a local virtualenv (after pip install -e .):
{
"mcpServers": {
"particlephysics": {
"command": "/absolute/path/to/.venv/bin/python",
"args": ["-m", "particlephysics_mcp_server"]
}
}
}
Tools
search_particle
| Input | Example |
|---|---|
| Canonical name | mu+, pi0, K-, Sigma+, gamma, Lambda, H |
| English alias | muon, pion, higgs, electron, top quark |
| Anti-particle | antimuon, anti up quark, ubar, u bar, u_bar, u~, antiproton |
| Natural-language charge | muon plus, positive tau, pion zero, kaon minus |
| MC ID | 11 (electron), -13 (mu+), 2212 (proton) |
Sample call: search_particle({"query": "muon plus"})
Found 1 particle(s) matching 'muon plus':
1. mu
Name: mu+
PDG ID: -13
PDG Review ID: S004/2025
Mass: 105.6583755 MeV (0.1056583755 GeV)
Spin (J): 1/2
Charge: 1
Color: singlet
Quantum numbers: J=1/2
Lifetime: 2.196981148893498e-06
```json
{
"query": "muon plus",
"count": 1,
"particles": [{
"name": "mu+",
"mcid": -13,
"pdg_review_id": "S004/2025",
"mass": {"mev": 105.6583755, "gev": 0.1056583755},
"charge": {"value": 1.0, "fraction": "1"},
"spin": "1/2",
"color": {"multiplicity": 1, "label": "singlet"},
"quantum_numbers": {"J": "1/2"},
"lifetime": {"seconds": 2.197e-06, "stable": false, "text": "..."}
}]
}
```
list_decays
Same identifier formats as search_particle. Tries exclusive_branching_fractions →
branching_fractions → inclusive_branching_fractions and reports which source it used.
Returns an empty decay list with stable=true for stable particles.
Sample call: list_decays({"particle_id": "tau"})
Decay modes for particle 'tau':
1. tau- --> mu- nubar_mu nu_tau (BR: 17.39 ± 0.04 %)
2. tau- --> e- nubar_e nu_tau (BR: 17.82 ± 0.04 %)
…
```json
{
"particle": {"name": "tau-", "mcid": 15, ...},
"source": "exclusive_branching_fractions",
"count": 137,
"decays": [{
"description": "tau- --> mu- nubar_mu nu_tau",
"branching_ratio_text": "17.39 ± 0.04",
"value_text": "17.39E-2",
"is_limit": false
}, ...]
}
```
Claude Skill
A Claude Code skill spec lives at .github/skills/particlephysics-skill/SKILL.md. It runs the inspector, validates both tools, and exercises the natural-language / anti-particle / MC ID query surface.
Trigger phrase: particle physics mcp or pp.
Changelog
See CHANGELOG.md for release notes.
Maintainer
License
MIT — see LICENSE.txt.
İlgili Sunucular
Octopus MCP Server
A high-performance, persistent knowledge base MCP server built with Rust. Supports local deployment with hybrid datastores like Qdrant, Neo4j, and Redis.
IGDB MCP Server
Access the IGDB (Internet Game Database) API through Model Context Protocol (MCP)
Apache Gravitino
Access Apache Gravitino, a high-performance, federated metadata lake for data and AI.
MongoDB
Interact with MongoDB databases using natural language. Query collections, inspect schemas, and manage data.
Open Formula 1 MCP Server
MCP Server to retrieve and analyze Formula 1 (F1) races, cars, drivers, lap, pit stops and more.
MySQL DB
An MCP server for integrating with and managing MySQL databases.
SQL Server for MySQL, PostgreSQL, and SQLite
A server for making queries to MySQL, PostgreSQL, and SQLite databases.
RewindDB
Interface with the Rewind.ai SQLite database to access audio transcripts and screen OCR data.
qmcp Server
An MCP server for integrating with and querying q/kdb+ databases.
Iceberg MCP Server (via Impala)
Provides read-only access to Apache Iceberg tables via Apache Impala, allowing LLMs to inspect schemas and execute queries.