@thinkhive/mcp-explainer v2.0.1
MCP (Model Context Protocol) server for the ThinkHive Explainer API. Provides AI agents with access to trace analysis, RAG evaluation, hallucination detection, quality metrics, and business impact analytics.
What's New in v2.0.0
- RAG Evaluation: Measure context relevance, groundedness, faithfulness, and citation accuracy
- Hallucination Detection: Identify unsupported claims, factual errors, and contradictions
- Quality Metrics: Track quality scores across agents with trend analysis
- ROI Analytics: Calculate business impact, revenue at risk, and cost savings
- Silent Failure Detection: Find cases where agents appear successful but failed to help
- Fix Generation: AI-powered fix suggestions for failure patterns
- Enhanced Prompts: Pre-built prompts for common analysis workflows
Features
- 25+ powerful tools for trace analysis, quality metrics, and business analytics
- STDIO transport for Claude Code CLI integration
- HTTP/SSE transport for web clients and external integrations
- Comprehensive trace support: multi-turn conversations, tool calls, RAG context
- Company isolation for multi-tenant security
- Audit logging for compliance
- Tier-based feature gates (free, starter, professional, enterprise)
Installation
npm install @thinkhive/mcp-explainer
Quick Start
Claude Code CLI
Add to your Claude Code configuration (~/.claude/claude_desktop_config.json):
{
"mcpServers": {
"thinkhive-explainer": {
"command": "npx",
"args": ["@thinkhive/mcp-explainer"],
"env": {
"THINKHIVE_API_KEY": "thk_your_api_key_here",
"THINKHIVE_API_URL": "https://demo.thinkhive.ai"
}
}
}
}
Programmatic Usage
import { startStdioServer } from '@thinkhive/mcp-explainer';
await startStdioServer();
HTTP/SSE Transport
import express from 'express';
import { setupHttpTransport } from '@thinkhive/mcp-explainer';
const app = express();
app.use(express.json());
setupHttpTransport({
app,
basePath: '/mcp',
});
app.listen(3001, () => {
console.log('MCP server running on http://localhost:3001');
});
Environment Variables
THINKHIVE_API_KEY | Yes | - | Your ThinkHive API key |
THINKHIVE_API_URL | No | https://demo.thinkhive.ai | ThinkHive API URL |
Available Tools
Trace Analysis
trace_explain | Analyze with RAG eval & hallucination detection | Free |
trace_search | Search traces using natural language | Starter+ |
trace_get_explanation | Get stored explanation by trace ID | Free |
trace_patterns | Get failure patterns for an agent | Starter+ |
trace_stats | Get statistics for traces | Free |
trace_batch_analyze | Analyze multiple traces at once | Starter+ |
Quality Metrics (NEW)
quality_rag_evaluate | Evaluate RAG quality (groundedness, faithfulness) | Professional+ |
quality_hallucination_detect | Detect hallucinations in responses | Professional+ |
quality_get_scores | Get quality scores for trace/agent | Starter+ |
ROI Analytics (NEW)
roi_get_summary | Get ROI summary with revenue impact | Professional+ |
roi_get_correlations | Get performance-to-business correlations | Professional+ |
roi_calculate_impact | Calculate business impact for failures | Professional+ |
Failure Clusters
cluster_list | List failure clusters for an agent | Starter+ |
cluster_details | Get cluster details with examples | Starter+ |
Fix Generation (NEW)
fix_generate | Generate fix suggestions for failures | Professional+ |
fix_list | List generated fixes | Professional+ |
Silent Failures (NEW)
silent_failures_detect | Detect silent failures | Professional+ |
silent_failures_summary | Get silent failure summary | Professional+ |
Webhooks
webhook_list | List configured webhooks | Professional+ |
webhook_create | Create a new webhook | Professional+ |
webhook_delete | Delete a webhook | Professional+ |
webhook_test | Test a webhook | Professional+ |
Evaluation
eval_run | Run evaluation against golden dataset | Starter+ |
eval_list_sets | List evaluation sets | Starter+ |
eval_get_results | Get evaluation results | Starter+ |
Tool Examples
Analyze a Trace with Quality Metrics
{
"trace": {
"id": "trace-123",
"userMessage": "What's the refund policy?",
"agentResponse": "Our refund policy allows returns within 30 days...",
"outcome": "success"
},
"options": {
"evaluateRAG": true,
"detectHallucinations": true,
"computeBusinessImpact": true
}
}
Evaluate RAG Quality
{
"traceId": "trace-123",
"question": "What's the refund policy?",
"answer": "Our refund policy allows returns within 30 days...",
"contexts": [
"Customers may return items within 30 days of purchase...",
"Refunds are processed within 5-7 business days..."
]
}
Get ROI Summary
{
"agentId": "customer-support",
"dateRange": {
"from": "2024-01-01T00:00:00Z",
"to": "2024-01-31T23:59:59Z"
},
"includeProjections": true
}
Detect Silent Failures
{
"agentId": "sales-assistant",
"signals": [
"repeat_contact",
"escalation",
"negative_feedback"
]
}
Available Prompts
analyze-trace | Analyze a trace and provide insights |
debug-failure | Debug a failed interaction |
explain-cluster | Explain a failure cluster |
quality-report | Generate quality report for an agent |
roi-analysis | Generate ROI analysis |
hallucination-review | Review detected hallucinations |
Supported Models (December 2025)
The ThinkHive API backend uses the latest AI models for maximum accuracy:
Azure OpenAI
- GPT-5 Series: gpt-5.2, gpt-5, gpt-5-pro, gpt-5-mini
- GPT-4.1 Series: gpt-4.1, gpt-4.1-mini, gpt-4.1-nano
- O-Series Reasoning: o4-mini, o3-pro, o3, o3-mini
- Embeddings: text-embedding-3-large, text-embedding-3-small
Anthropic Claude (via Azure)
- Claude 4.5 Series: claude-opus-4.5, claude-sonnet-4.5, claude-haiku-4.5
Google Gemini (Direct API)
- Gemini 3: gemini-3-flash, gemini-3-flash-lite
- Gemini 2.5: gemini-2.5-pro, gemini-2.5-flash
API Key Tiers
| Free | 10/min | Basic explainability |
| Starter | 60/min | + Search, batch analysis, patterns, quality metrics |
| Professional | 300/min | + RAG eval, hallucination detection, ROI analytics, webhooks |
| Enterprise | 1,000/min | All features + dedicated support |
Security
- API Key Authentication: Secure key validation with company scoping
- Company Isolation: All queries scoped to authenticated company
- Rate Limiting: Per-API-key rate limiting
- Audit Logging: All tool calls logged for compliance
Troubleshooting
"API key required" error
Make sure THINKHIVE_API_KEY environment variable is set.
Rate limit exceeded
Wait for the rate limit window to reset (1 minute) or upgrade your tier.
Feature not available
Some features require higher tiers. Check the tier column in the tools table.
Links
License
MIT