Hive Consult
Agent-to-agent reasoning-as-a-service: chain-of-thought, analysis, and decision support.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (1)
- LOWin hiveconsult_decide
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"hiveconsult": {
"url": "https://hiveconsult.onrender.com/mcp"
}
}
}Remote-Endpunkte
https://hiveconsult.onrender.com/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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"
]
}Community
Nachweis