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MCP SQLite Server

Anthropic

82·Strong

Overall Trust Score

Official MCP server enabling AI models to interact with SQLite databases through natural language. Supports schema inspection, query execution, and data analysis for local file-based databases through the Model Context Protocol. Ideal for lightweight data applications but requires security considerations.

database
sql
mcp
model-context-protocol
Version: 2025.4.24
Last Evaluated: November 9, 2025
Official Website →

Trust Vector

Performance & Reliability

89
query execution speed
93
Methodology
Query performance benchmarking
Evidence
SQLite Performance
Extremely fast for local queries, no network overhead
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
schema introspection
92
Methodology
Schema discovery testing
Evidence
SQLite Schema
Comprehensive schema metadata through sqlite_master table
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
data integrity
90
Methodology
Transaction testing
Evidence
SQLite ACID Compliance
Full ACID compliance ensures data integrity
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
concurrent access
82
Methodology
Concurrency testing
Evidence
SQLite Locking
File-level locking may limit concurrent write operations
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09
error handling
88
Methodology
Error scenario testing
Evidence
SQLite Error Codes
Clear error messages with detailed result codes
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09

Security

73
sql injection protection
85
Methodology
SQL injection testing
Evidence
Parameterized Queries
Uses parameterized queries to prevent SQL injection
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
file access control
70
Methodology
Access control testing
Evidence
SQLite File Access
Access controlled by filesystem permissions only
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09
data modification risk
68
Methodology
Write operation risk assessment
Evidence
Security Analysis
AI can execute any SQL including DROP, DELETE if database file is writable
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
encryption support
65
Methodology
Encryption capabilities review
Evidence
SQLite Encryption
Encryption available via SQLite Encryption Extension (commercial)
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09
audit logging
75
Methodology
Logging capabilities assessment
Evidence
MCP Logging
Query logging via MCP protocol, no native SQLite audit
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09

Privacy & Compliance

71
data exposure risk
65
Methodology
Data flow and exposure analysis
Evidence
Data Flow Analysis
Query results including all data sent to LLM provider
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
pii protection
62
Methodology
Privacy controls assessment
Evidence
MCP Security Guidelines
No built-in PII detection or data redaction
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09
local processing
88
Methodology
Data processing architecture review
Evidence
SQLite Architecture
Fully local, serverless database processing
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
data retention
75
Methodology
Data retention control review
Evidence
File-based Storage
Complete control over data retention via file management
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09

Trust & Transparency

87
documentation quality
90
Methodology
Documentation completeness review
Evidence
MCP SQLite Docs
Clear documentation with setup and usage examples
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
query visibility
92
Methodology
Query traceability assessment
Evidence
MCP Protocol Logging
All SQL queries visible in MCP message logs
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
open source code
95
Methodology
Source code review
Evidence
GitHub Repository
Fully open source with MIT license
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
sqlite transparency
88
Methodology
Database engine transparency review
Evidence
SQLite Public Domain
SQLite is public domain with extensive documentation
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09

Operational Excellence

90
ease of setup
95
Methodology
Setup complexity assessment
Evidence
MCP Quickstart
Extremely simple setup, just point to database file
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
performance
92
Methodology
Performance benchmarking
Evidence
SQLite Performance
Exceptionally fast for local operations, often faster than filesystem
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
resource efficiency
94
Methodology
Resource utilization testing
Evidence
SQLite Resource Usage
Minimal memory footprint and CPU usage
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
portability
90
Methodology
Cross-platform testing
Evidence
SQLite Portability
Single file format, highly portable across platforms
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
maintenance
85
Methodology
Maintenance overhead assessment
Evidence
SQLite Maintenance
Minimal maintenance required, no server to manage
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09

✨ Strengths

  • •Extremely fast local database operations with no network latency
  • •Zero configuration required - serverless and self-contained
  • •Minimal resource footprint (memory and CPU)
  • •Complete local data control with no remote server dependencies
  • •Full ACID compliance ensures data integrity
  • •Open source MCP server and public domain database engine

⚠️ Limitations

  • •Query results with all data sent to external LLM provider
  • •No built-in encryption in standard SQLite (requires commercial extension)
  • •Limited concurrent write performance due to file-level locking
  • •No built-in PII detection or data anonymization
  • •AI can execute destructive SQL if database file is writable
  • •No native audit logging beyond MCP protocol logs

📊 Metadata

license: MIT (MCP server), Public Domain (SQLite)
supported platforms:
0: Windows
1: macOS
2: Linux
3: iOS
4: Android
programming languages:
0: TypeScript
1: Python
mcp version: 1.0
github repo: https://github.com/modelcontextprotocol/servers
database version: SQLite 3.x
max database size: 281 TB (theoretical)
first release: 2024-11
maintained by: None (Archived)

Use Case Ratings

code generation

82

Good for generating SQL queries and database migration scripts

customer support

78

Useful for analyzing support ticket databases and knowledge bases

content creation

70

Limited applicability unless content is stored in SQLite

data analysis

90

Excellent for analyzing local datasets and generating insights

research assistant

88

Great for managing research data, citations, and notes in local database

legal compliance

58

Risk of exposing sensitive data; better than cloud databases but still concerning

healthcare

55

PHI exposure risk when data sent to LLM; local storage is positive but insufficient

financial analysis

65

Moderate risk; local database is good but data still exposed to LLM

education

85

Great for managing student data, grades, and learning analytics locally

creative writing

75

Useful for managing character databases, plot points, and story elements