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MCP Resources and Prompts
Last Updated: September 23, 2025 1:48 PM EST
The SQLite MCP Server provides intelligent meta-awareness and guided workflows through advanced MCP Resources and Prompts, transforming it from a simple database interface into a self-aware, intelligent assistant.
MCP Resources provide dynamic "knowledge hooks" that give the AI model instant access to database metadata without requiring repeated queries.
| Resource | Description |
|---|---|
database://schema |
Complete database schema with natural language descriptions |
database://capabilities |
Real-time server capabilities and feature status |
database://statistics |
Performance metrics and usage analytics |
database://search_indexes |
FTS5 and spatial index status with optimization suggestions |
database://performance |
Query performance analysis and bottleneck identification |
memo://insights |
Business insights memo (continuously updated) |
diagnostics://json |
JSON capabilities diagnostic information |
Resources are automatically accessible to AI models through the MCP protocol. They provide:
- Real-time database state - Always current schema and statistics
- Performance insights - Query optimization recommendations
- Capability awareness - Know what features are available
- Business context - Access to accumulated insights
MCP Prompts provide intelligent workflow automation, acting as "recipes" that guide complex multi-step operations.
| Prompt | Description |
|---|---|
semantic_query |
Natural language to semantic search translation |
summarize_table |
Intelligent table analysis with configurable depth |
optimize_database |
Step-by-step database optimization workflow |
setup_semantic_search |
Complete guide for setting up semantic search |
hybrid_search_workflow |
Hybrid keyword + semantic search implementation |
mcp-demo |
Seed database with initial data and demonstrate capabilities |
json-diagnostic |
Check SQLite JSONB capabilities and run diagnostics |
The semantic_query prompt helps translate natural language questions into effective semantic searches:
Input: "Find articles about machine learning that are similar to this research paper"
Output: Guided workflow for:
1. Creating embeddings from the research paper
2. Setting appropriate similarity thresholds
3. Filtering by relevant metadata
4. Combining with keyword search if needed
The summarize_table prompt provides intelligent analysis:
Input: Table name and analysis depth preference
Output: Comprehensive table summary including:
1. Schema analysis and data types
2. Data quality assessment
3. Statistical summaries
4. Relationship identification
5. Optimization recommendations
The optimize_database prompt guides performance tuning:
Workflow Steps:
1. Analyze current performance metrics
2. Identify bottlenecks and inefficiencies
3. Recommend specific optimizations
4. Guide implementation of improvements
5. Validate performance gains
- AI always has access to current database state through resources
- No outdated or incorrect schema assumptions
- Real-time capability awareness
- Complex operations guided by proven prompt recipes
- Consistent approaches to common tasks
- Step-by-step guidance for advanced features
- Server becomes self-aware of its capabilities and limitations
- Dynamic feature detection and reporting
- Contextual help and suggestions
- Standardized approaches to database operations
- Best practices built into guided workflows
- Reduced errors through structured processes
// Resources are automatically available to AI models
// Example of what the AI can access:
// database://schema provides:
{
"tables": [
{
"name": "users",
"columns": [
{"name": "id", "type": "INTEGER", "primary_key": true},
{"name": "email", "type": "TEXT", "unique": true},
{"name": "created_at", "type": "DATETIME"}
],
"description": "User account information",
"row_count": 15420
}
],
"indexes": [...],
"virtual_tables": [...],
"relationships": [...]
}
// database://capabilities provides:
{
"features": {
"fts5": true,
"json1": true,
"rtree": true,
"spatialite": false
},
"extensions": ["json1", "fts5", "rtree"],
"version": "3.45.1",
"tools_count": 73
}Prompt: setup_semantic_search
Parameters: {
"table_name": "documents",
"content_column": "text",
"embedding_model": "text-embedding-ada-002"
}
Guided Steps:
1. Create embeddings table with appropriate dimensions
2. Set up FTS5 table for hybrid search
3. Create indexes for performance
4. Provide embedding generation examples
5. Test search functionality
6. Optimize for your use case
Prompt: optimize_database
Parameters: {
"focus": "performance",
"include_analysis": true
}
Guided Steps:
1. Run integrity checks
2. Analyze query performance
3. Check index usage
4. Identify fragmentation
5. Recommend PRAGMA settings
6. Suggest maintenance schedule
Resources provide the AI with up-to-date context about your database, eliminating the need for repeated schema queries and reducing hallucination.
Instead of trying to remember complex multi-step procedures, use prompts to guide you through advanced workflows with best practices built-in.
Resources provide the context, prompts provide the workflow. Together they create intelligent, context-aware database interactions.
Resources are dynamic and update as your database changes. The AI always has access to current information about your database state.
While the built-in prompts cover common use cases, you can develop custom workflows that leverage the resource system for your specific needs.
Resources can be extended to include information about external systems, creating a comprehensive view of your data ecosystem.
Use the performance resources to continuously monitor and optimize your database operations with AI assistance.
- Semantic-Vector-Search - AI-powered semantic search
- Core-Database-Tools - Basic database operations
- Best-Practices - Usage patterns and recommendations
- Advanced-Features - Complete feature overview
🤖 Intelligence Tip: MCP Resources and Prompts transform the SQLite MCP Server from a simple database interface into an intelligent assistant that understands your database and guides you through complex operations.