Hive Consult
Agent-to-agent reasoning-as-a-service: chain-of-thought, analysis, and decision support.
¿Debería usar esto?
Calidad y seguridad
Hallazgos (1)
- LOWen hiveconsult_decide
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"hiveconsult": {
"url": "https://hiveconsult.onrender.com/mcp"
}
}
}Puntos de conexión remotos
https://hiveconsult.onrender.com/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (4)
🟡hiveconsult_reason(did, question, context, reasoning_depth, domain)
Submit a question or problem for structured chain-of-thought reasoning. Returns step-by-step analysis with confidence score and recommendations.
Esquema de entrada
{
"type": "object",
"properties": {
"did": {
"type": "string",
"description": "Agent DID (did:hive:...)"
},
"question": {
"type": "string",
"description": "The question or problem to reason about"
},
"context": {
"type": "string",
"description": "Optional additional context"
},
"reasoning_depth": {
"type": "string",
"enum": [
"quick",
"standard",
"deep"
],
"description": "Depth of reasoning. quick=$0.01, standard=$0.05, deep=$0.25"
},
"domain": {
"type": "string",
"description": "Optional domain for specialized reasoning"
}
},
"required": [
"did",
"question"
]
}🟢hiveconsult_analyze(did, data, analysis_type)
Analyze data for trends, anomalies, forecasts, or comparisons. Returns structured findings with confidence scores.
Esquema de entrada
{
"type": "object",
"properties": {
"did": {
"type": "string",
"description": "Agent DID (did:hive:...)"
},
"data": {
"description": "Data to analyze (array, object, or value)"
},
"analysis_type": {
"type": "string",
"enum": [
"trend",
"anomaly",
"forecast",
"comparison"
],
"description": "Type of analysis to perform"
}
},
"required": [
"did",
"data"
]
}⚪hiveconsult_decide(did, options, criteria, weights)
Decision support: rank options against weighted criteria. Returns scored and ranked options with reasoning.
Esquema de entrada
{
"type": "object",
"properties": {
"did": {
"type": "string",
"description": "Agent DID (did:hive:...)"
},
"options": {
"type": "array",
"items": {
"type": "string"
},
"description": "Options to evaluate (minimum 2)"
},
"criteria": {
"type": "array",
"items": {
"type": "string"
},
"description": "Criteria to evaluate against"
},
"weights": {
"type": "array",
"items": {
"type": "number"
},
"description": "Optional weights for criteria (must match criteria length)"
}
},
"required": [
"did",
"options",
"criteria"
]
}⚪hiveconsult_review(did, content, review_type)
Review code, contracts, documents, or strategies. Returns issues, recommendations, and risk score.
Esquema de entrada
{
"type": "object",
"properties": {
"did": {
"type": "string",
"description": "Agent DID (did:hive:...)"
},
"content": {
"type": "string",
"description": "Content to review"
},
"review_type": {
"type": "string",
"enum": [
"code",
"contract",
"document",
"strategy"
],
"description": "Type of review"
}
},
"required": [
"did",
"content"
]
}Comunidad
Evidencia