Hive Consult
Agent-to-agent reasoning-as-a-service: chain-of-thought, analysis, and decision support.
Should I use this
Quality & Safety
Findings (1)
- LOWTool 'hiveconsult_decide' description lacks action verbin hiveconsult_decide
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"hiveconsult": {
"url": "https://hiveconsult.onrender.com/mcp"
}
}
}Remote endpoints
https://hiveconsult.onrender.com/mcpstreamable-httpWhat it can do
Tool inventory
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.
Input 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.
Input 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.
Input 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.
Input 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
Evidence