๐ MCP Server Guide
This page is the MCP hub. Detailed instructions are split into dedicated pages to avoid duplicate setup content.
๐ What MCP gives you
- Semantic search in your ingested knowledge base
- Hierarchy-aware retrieval for structured docs
- Attachment-focused search
- Integration with Cursor, Windsurf, Claude Desktop, and other MCP clients
โ๏ธ Client configuration links
- Cursor, Windsurf, Claude Desktop setup: Setup & Integration Guide
- Search tool capabilities and parameters: Search Capabilities & Examples
- Attachment-specific search details: Attachment Search Guide
- Hierarchy-specific search details: Hierarchy Search Guide
- Install and platform notes: Installation Guide
๐ฏ Prerequisites
- Ingestion completed at least once with
qdrant-loader ingest - QDrant reachable from your MCP runtime
- LLM provider configured
Configuration references:
- LLM Provider Guide - Provider-specific setup for embeddings/chat compatibility with MCP.
- Environment Variables Reference - Required runtime variables for authentication, logging, and server behavior.
โก Quick run
mcp-qdrant-loader
For production transport and worker tuning, use Setup & Integration Guide.
๐ Multi-Tool Search Strategies
Complete feature investigation
- Start with Semantic Search to understand the topic.
- Use Hierarchy Search to explore document structure.
- Apply Relationship Analysis to map dependencies.
- Use Conflict Detection to identify inconsistencies.
Documentation quality audit
- Use Hierarchy Search for structure and gap analysis.
- Use Conflict Detection for inconsistency checks.
- Use Similarity Detection to review duplication.
- Use Complementary Content to assess completeness.
Implementation planning
- Use Semantic Search for patterns and examples.
- Use Complementary Content for supporting references.
- Use Relationship Analysis for dependency understanding.
- Use Clustering to organize related materials.
๐ Performance Optimization
Search efficiency
- Use specific queries instead of broad terms.
- Apply source/type filters when appropriate.
- Use practical limits for cross-document analysis.
Result quality
- Provide context in your query.
- Prefer natural language for semantic retrieval.
- Combine tools to improve coverage and precision.
๐ Quick validation
In Cursor/Claude/Windsurf, ask a simple query like:
"Find setup notes for QDrant Loader in my ingested docs"
If the tool returns results from your indexed content, MCP integration is working.
๐งช Integration Checklist
Setup requirements
- QDrant Loader installed and configured
- Documents ingested into QDrant
- MCP server package installed
- AI tool with MCP support (Cursor/Windsurf/Claude)
- LLM API key configured
Configuration
- MCP server added to client config
- Environment variables set correctly
- Collection name matches ingested content
- Connection verified from AI tool
Functionality testing
- Basic semantic search works
- Hierarchy search navigates structure
- Attachment search returns expected files
- Cross-document analysis returns relationships
- Performance is acceptable for daily usage
Team deployment
- Configuration standardized across team
- Best practices documented and shared
- Security considerations reviewed
- Troubleshooting procedures documented
๐ง Troubleshooting paths
- MCP setup/runtime issues: Setup & Integration Guide
- Search behavior and tool semantics: Search Capabilities & Examples
- General configuration issues: Troubleshooting Guide