Un servidor del Protocolo de Contexto de Modelos (MCP) que permite a Claude Desktop, IDEs y otros clientes MCP buscar propiedades de partículas y modos de desintegración.
Admite consultas en lenguaje natural (muon plus, pion zero, antiproton, anti up quark), búsquedas que no distinguen entre mayúsculas y minúsculas, IDs de MC (-13), y devuelve tanto texto legible por humanos como una carga útil JSON estructurada.
Related MCP server: Physics MCP Server
search_particle — masa (MeV + GeV), carga, espín, color, paridad / C / I / G, tiempo de vida o anchura, MCID, ID de revisión
list_decays — fracciones de ramificación exclusivas / inclusivas con el método de origen nombrado
Entrada en lenguaje natural — muon plus, positive tau, pion zero, kaon minus
Soporte para antipartículas — antimuon, anti up quark, ubar, u bar, u_bar, u~, antineutron; resuelto mediante negación de MCID, sin adivinación de nombres
Búsqueda por ID de MC — consulta directamente con 11, -2212, etc.
Conciencia de autoconjugación — anti photon se resuelve como gamma, anti pi0 como pi0
Salida estructurada — cada respuesta incluye un bloque ```json delimitado junto con el texto legible por humanos
git clone https://github.com/uzerone/particlephysics-mcp-server.git
cd particlephysics-mcp-server
pip install -e .Añade uno de los siguientes a la configuración MCP de tu cliente (p. ej., claude_desktop_config.json).
Usando uvx desde el repositorio clonado (no se requiere instalación global):
{
"mcpServers": {
"particlephysics": {
"command": "uvx",
"args": ["--from", "/absolute/path/to/particlephysics-mcp-server",
"python", "-m", "particlephysics_mcp_server"]
}
}
}Usando un virtualenv local (después de pip install -e .):
{
"mcpServers": {
"particlephysics": {
"command": "/absolute/path/to/.venv/bin/python",
"args": ["-m", "particlephysics_mcp_server"]
}
}
}search_particleEntrada | Ejemplo |
Nombre canónico |
|
Alias en inglés |
|
Antipartícula |
|
Carga en lenguaje natural |
|
ID de MC |
|
Llamada de ejemplo: 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_decaysLos mismos formatos de identificador que search_particle. Prueba exclusive_branching_fractions → branching_fractions → inclusive_branching_fractions e informa qué fuente utilizó. Devuelve una lista de desintegración vacía con stable=true para partículas estables.
Llamada de ejemplo: 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
}, ...]
}
```Una especificación de habilidad de Claude Code reside en .github/skills/particlephysics-skill/SKILL.md. Ejecuta el inspector, valida ambas herramientas y ejercita la superficie de consulta de lenguaje natural / antipartícula / ID de MC.
Frase de activación: particle physics mcp o pp.
Consulta CHANGELOG.md para ver las notas de la versión.
MIT — consulta LICENSE.txt.
List decay modes for a specific particle
| Name | Required | Description | Default |
|---|---|---|---|
| particle_id | Yes | Particle identifier (PDG ID or name) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action but doesn't describe traits like whether this is a read-only operation, potential rate limits, error handling for invalid particles, or the format of the returned decay modes. This leaves significant gaps for a tool that likely queries a dataset.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without any wasted words. It is appropriately sized and front-loaded, making it easy for an agent to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has one parameter with full schema coverage and no output schema, the description is minimally adequate but lacks context about behavioral aspects and usage guidelines. For a simple query tool, it's passable, but the absence of annotations and output details means it doesn't fully equip the agent for optimal use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, with the parameter 'particle_id' documented as 'Particle identifier (PDG ID or name)'. The description adds no additional meaning beyond this, such as examples or constraints, so it meets the baseline of 3 where the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'list' and the resource 'decay modes for a specific particle', making the purpose immediately understandable. However, it doesn't explicitly differentiate from the sibling tool 'search_particle', which might also involve particle-related queries, so it doesn't reach the highest score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus the sibling 'search_particle' or any other alternatives. It lacks context about prerequisites, such as whether the particle must exist in a database, or exclusions, leaving the agent to infer usage from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Search for particles by name or properties in the PDG database
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search query (particle name, symbol, or property) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It states the tool searches a database, implying a read-only operation, but doesn't disclose behavioral traits like authentication needs, rate limits, result format, pagination, or error handling. This leaves significant gaps for a database query tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with no wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations and no output schema, the description is incomplete for a search tool. It lacks details on behavioral aspects (e.g., result format, limits) and doesn't compensate for the absence of structured data, leaving the agent with insufficient context for reliable use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, with the 'query' parameter documented as 'Search query (particle name, symbol, or property)'. The description adds minimal value beyond this, only reiterating 'by name or properties'. Baseline 3 is appropriate as the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Search for particles') and resource ('in the PDG database'), with specificity about search criteria ('by name or properties'). It doesn't explicitly differentiate from the sibling tool 'list_decays', which appears to be a different operation, but the purpose is well-defined.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives or in what context. It mentions searching 'in the PDG database', but doesn't specify prerequisites, limitations, or how it relates to the sibling tool 'list_decays'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
list_decayssearch_particleScored across 2 tools
The two tools have clearly distinct purposes: one lists decay modes for a specific particle, while the other searches for particles in a database. There is no overlap in functionality, making it easy for an agent to choose the correct tool based on the task.
Both tools follow a consistent verb_noun naming pattern (list_decays and search_particle), using snake_case throughout. This predictability aids in understanding and usage without any deviations.
With only 2 tools, the server feels thin for a particle physics domain, which typically involves complex queries, simulations, or analyses. This limited set may not support comprehensive agent workflows, suggesting an under-scoped implementation.
The toolset is severely incomplete for particle physics, lacking essential operations like retrieving particle properties, calculating cross-sections, or simulating interactions. Agents will face significant gaps, as basic CRUD or lifecycle coverage is missing.
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