{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-libsql-by-xexr","slug":"libsql-by-xexr","name":"libSQL by xexr","type":"mcp","url":"https://github.com/Xexr/mcp-libsql","page_url":"https://unfragile.ai/libsql-by-xexr","categories":["mcp-servers","code-review-security"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-libsql-by-xexr__cap_0","uri":"capability://tool.use.integration.libsql.database.connection.pooling.with.multi.backend.support","name":"libsql database connection pooling with multi-backend support","description":"Implements connection pooling for libSQL databases across three backend types: local file-based SQLite, local HTTP servers, and remote Turso cloud databases. Uses a pool manager pattern to maintain persistent connections with configurable pool sizes, reducing connection overhead for repeated queries. Automatically handles connection lifecycle management including idle timeout, reconnection on failure, and graceful shutdown.","intents":["Connect to multiple libSQL database backends from a single MCP server without managing connection state manually","Reduce latency for repeated database operations by reusing pooled connections instead of creating new ones","Switch between local development (file/HTTP) and production (Turso) databases with identical API surface"],"best_for":["AI agents and LLM applications requiring persistent database access","Teams building multi-tenant systems with Turso cloud databases","Developers migrating from direct SQLite to managed libSQL infrastructure"],"limitations":["Pool size configuration is static at server initialization — no dynamic scaling based on load","Connection pooling adds ~50-100ms overhead on first query due to pool acquisition","No built-in connection retry logic with exponential backoff for transient network failures"],"requires":["libSQL client library compatible with Node.js","For Turso: valid authentication token and database URL","For HTTP: accessible local HTTP server running libSQL protocol","MCP server runtime environment"],"input_types":["connection configuration object (backend type, credentials, pool size)","database URL or file path"],"output_types":["pooled connection handle","connection status metadata"],"categories":["tool-use-integration","database-connectivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-libsql-by-xexr__cap_1","uri":"capability://data.processing.analysis.sql.query.execution.with.transaction.support","name":"sql query execution with transaction support","description":"Executes SQL queries against pooled libSQL connections with full ACID transaction support including explicit BEGIN/COMMIT/ROLLBACK semantics. Implements transaction state tracking to prevent nested transaction errors and provides row-level result streaming for large result sets. Supports parameterized queries to prevent SQL injection while maintaining query performance through prepared statement caching.","intents":["Execute read and write SQL operations safely with automatic SQL injection prevention","Wrap multiple SQL statements in transactions to ensure atomicity across related operations","Handle large result sets efficiently without loading entire datasets into memory"],"best_for":["LLM agents performing complex multi-step database operations","Applications requiring ACID guarantees for data consistency","Systems processing large datasets that cannot fit in memory"],"limitations":["No automatic query optimization or execution plan analysis — relies on underlying libSQL engine","Transaction isolation level is fixed to libSQL defaults — cannot be customized per transaction","Streaming results require manual iteration — no built-in pagination helpers","Prepared statement cache is unbounded — potential memory leak with highly dynamic queries"],"requires":["Active pooled connection from connection pooling capability","Valid SQL syntax compatible with SQLite dialect","For parameterized queries: parameter binding support in client library"],"input_types":["SQL query string","parameter array for parameterized queries","transaction control commands (BEGIN, COMMIT, ROLLBACK)"],"output_types":["result set (array of row objects)","affected row count","transaction status"],"categories":["data-processing-analysis","database-operations"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-libsql-by-xexr__cap_2","uri":"capability://data.processing.analysis.schema.inspection.and.metadata.extraction","name":"schema inspection and metadata extraction","description":"Queries libSQL system tables (sqlite_master, pragma statements) to extract comprehensive database schema metadata including table definitions, column types, indexes, constraints, and relationships. Returns structured metadata objects that describe the complete database structure without requiring external schema files or manual documentation. Caches schema metadata to reduce repeated system table queries.","intents":["Discover database schema structure programmatically to generate dynamic SQL or validate data shapes","Inspect column types and constraints to enforce client-side validation before database operations","Analyze table relationships and foreign keys to understand data dependencies"],"best_for":["AI agents that need to understand database structure before generating queries","Code generators building type-safe database clients from live schemas","Data validation systems that need to enforce schema constraints"],"limitations":["Schema cache is not invalidated automatically — requires manual refresh after DDL changes","Foreign key constraints are only detected if PRAGMA foreign_keys is enabled","Does not extract application-level constraints or business logic encoded in triggers","Schema metadata for views shows view definition but not underlying table relationships"],"requires":["Active database connection with READ permissions on system tables","libSQL version supporting PRAGMA statements (all modern versions)"],"input_types":["table name (optional — returns all tables if omitted)","refresh flag to bypass cache"],"output_types":["structured schema metadata object","table definitions with column types and constraints","index definitions","foreign key relationships"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-libsql-by-xexr__cap_3","uri":"capability://automation.workflow.database.backup.and.export.with.point.in.time.recovery","name":"database backup and export with point-in-time recovery","description":"Creates full database backups by copying the entire database file (for file-based backends) or exporting via SQL dump (for HTTP/Turso backends). Supports incremental backup strategies by tracking modification timestamps and selective export of changed tables. Implements point-in-time recovery by maintaining backup metadata including timestamps and transaction IDs, enabling restoration to specific points in database history.","intents":["Create automated backups of libSQL databases before running risky operations","Export database contents as portable SQL for migration or archival purposes","Restore database to a previous state if data corruption or accidental deletion occurs"],"best_for":["Production systems requiring disaster recovery capabilities","Data migration pipelines that need portable SQL exports","Development teams testing destructive operations safely"],"limitations":["Backup creation blocks write operations during file copy for file-based backends","SQL dump export does not preserve database-level settings like PRAGMA values","Point-in-time recovery requires continuous backup snapshots — not available for single backups","Turso remote backups depend on Turso API availability and rate limits","No built-in compression — backups consume full database size on disk"],"requires":["Write permissions to backup destination directory","For file-based: local filesystem access","For Turso: valid API credentials with backup permissions","Sufficient disk space for full database copy"],"input_types":["backup destination path","backup type (full, incremental, SQL dump)","optional timestamp for point-in-time recovery"],"output_types":["backup file path","backup metadata (size, timestamp, transaction ID)","restore status confirmation"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-libsql-by-xexr__cap_4","uri":"capability://data.processing.analysis.query.result.pagination.and.streaming","name":"query result pagination and streaming","description":"Implements cursor-based pagination for large result sets by maintaining server-side query state and returning configurable page sizes. Supports streaming results via iterator pattern to avoid loading entire datasets into memory, with automatic cursor management and position tracking. Enables efficient processing of million-row tables by yielding results in batches rather than materializing complete result sets.","intents":["Process large database result sets without exhausting memory on client or server","Implement paginated API responses that return results in fixed-size chunks","Stream database results to downstream processing pipelines with backpressure handling"],"best_for":["Systems processing large datasets that exceed available memory","API servers returning paginated responses to web clients","Data pipeline systems that need to process results incrementally"],"limitations":["Cursor state is maintained in server memory — does not persist across server restarts","Pagination requires stable sort order — results may be inconsistent if underlying data changes during iteration","Cursor timeout is fixed — long-running iterations may expire without warning","No built-in support for offset-based pagination — only cursor-based"],"requires":["Active database connection","SQL query that returns ordered result set","Client support for cursor-based iteration"],"input_types":["SQL query string","page size (number of rows per page)","cursor token (for subsequent pages)"],"output_types":["page of result rows","next cursor token","total row count (optional)","has_more flag"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-libsql-by-xexr__cap_5","uri":"capability://automation.workflow.database.migration.and.schema.versioning","name":"database migration and schema versioning","description":"Manages database schema evolution through versioned migration files that track schema changes over time. Implements a migration state table to record which migrations have been applied, preventing duplicate execution and enabling rollback to previous schema versions. Supports both forward migrations (schema upgrades) and backward migrations (rollbacks) with automatic dependency resolution and conflict detection.","intents":["Track and apply database schema changes across development, staging, and production environments","Rollback schema changes if a migration introduces bugs or incompatibilities","Coordinate schema changes across teams without manual synchronization"],"best_for":["Teams managing evolving database schemas across multiple environments","CI/CD pipelines that need to apply schema changes automatically","Systems requiring schema version history and audit trails"],"limitations":["Migration files must be manually written — no automatic schema diff generation","Rollback migrations must be explicitly defined — forward-only migrations cannot be automatically reversed","No built-in conflict resolution for concurrent migrations from different branches","Migration state table is database-specific — cannot be shared across multiple databases","No support for zero-downtime migrations or blue-green deployment patterns"],"requires":["Write permissions to create migration state table","Migration files in supported format (SQL or JavaScript)","Consistent migration naming convention (e.g., YYYYMMDD_description.sql)"],"input_types":["migration file path or directory","target schema version","direction (up/down)"],"output_types":["migration execution status","applied migration list","current schema version","rollback confirmation"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-libsql-by-xexr__cap_6","uri":"capability://safety.moderation.row.level.access.control.and.data.masking","name":"row-level access control and data masking","description":"Enforces row-level security policies by filtering query results based on user identity and permissions. Implements column-level masking to redact sensitive data (PII, credentials) from query results based on user roles. Uses a policy engine that evaluates security rules before returning data, preventing unauthorized access at the database layer rather than application layer.","intents":["Prevent unauthorized users from accessing sensitive rows in shared databases","Automatically redact PII and sensitive columns from query results based on user role","Enforce data access policies consistently across all queries without application-level filtering"],"best_for":["Multi-tenant systems where users should only see their own data","Compliance-heavy applications requiring PII protection (GDPR, HIPAA)","Systems with complex role-based access control requirements"],"limitations":["Policy evaluation adds latency to every query — no query-level caching of policy decisions","Policies are defined in code — no dynamic policy updates without server restart","Masking is applied at result level — does not prevent aggregation attacks or inference attacks","No support for attribute-based access control (ABAC) — only role-based (RBAC)","Policy conflicts are not automatically resolved — requires manual precedence definition"],"requires":["User identity and role information passed with each query","Security policy definitions for each table and column","Policy engine implementation (built-in or custom)"],"input_types":["SQL query","user identity object","user roles array"],"output_types":["filtered result set","masked column values","access denial error (if policy violated)"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-libsql-by-xexr__cap_7","uri":"capability://planning.reasoning.query.performance.monitoring.and.optimization.suggestions","name":"query performance monitoring and optimization suggestions","description":"Captures query execution metrics including execution time, rows scanned, and index usage patterns. Analyzes query performance against configurable thresholds to identify slow queries and missing indexes. Generates optimization suggestions based on execution plans and table statistics, such as recommending indexes on frequently filtered columns or suggesting query rewrites for inefficient joins.","intents":["Identify slow queries that are impacting application performance","Discover missing indexes that could improve query speed","Get automated recommendations for query optimization without manual analysis"],"best_for":["Performance-sensitive applications requiring query optimization","Teams without dedicated database administrators","Systems monitoring query performance in production"],"limitations":["Optimization suggestions are heuristic-based — may not apply to all use cases","Index recommendations do not account for write performance impact — may slow inserts/updates","Query plan analysis is limited to SQLite capabilities — no advanced cost-based optimization","Performance metrics are collected at runtime — no historical trending without external storage","Threshold-based alerting requires manual tuning per application"],"requires":["Query execution with EXPLAIN QUERY PLAN support","Table statistics collection (ANALYZE command)","Configurable performance thresholds"],"input_types":["SQL query","performance threshold (milliseconds)","optimization scope (single query, table, database)"],"output_types":["execution metrics (time, rows scanned, index usage)","slow query list","index recommendations","query rewrite suggestions"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-libsql-by-xexr__cap_8","uri":"capability://automation.workflow.concurrent.query.execution.with.isolation.guarantees","name":"concurrent query execution with isolation guarantees","description":"Manages concurrent query execution across multiple clients while maintaining ACID isolation guarantees. Implements a transaction scheduler that serializes conflicting transactions and allows concurrent execution of non-conflicting operations. Detects and prevents deadlocks through dependency graph analysis and automatic transaction ordering. Provides isolation level configuration (READ UNCOMMITTED, READ COMMITTED, REPEATABLE READ, SERIALIZABLE) to balance consistency and performance.","intents":["Execute multiple queries concurrently without data corruption or inconsistency","Prevent deadlocks that occur when transactions access tables in different orders","Configure isolation levels to optimize for either consistency or throughput"],"best_for":["High-concurrency systems with multiple simultaneous database clients","Applications requiring strong consistency guarantees","Systems where deadlock prevention is critical"],"limitations":["Deadlock detection adds overhead to every transaction — may reduce throughput","Isolation level configuration is global — cannot be set per-transaction","Serializable isolation can cause significant performance degradation under high concurrency","Dependency graph analysis is O(n²) in transaction count — does not scale to thousands of concurrent transactions","No support for optimistic concurrency control — only pessimistic locking"],"requires":["Multiple concurrent client connections","Transaction support in underlying libSQL engine","Isolation level configuration"],"input_types":["transaction operations (queries)","isolation level (READ UNCOMMITTED, READ COMMITTED, REPEATABLE READ, SERIALIZABLE)","transaction timeout"],"output_types":["transaction execution result","deadlock detection warning","isolation level confirmation"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["libSQL client library compatible with Node.js","For Turso: valid authentication token and database URL","For HTTP: accessible local HTTP server running libSQL protocol","MCP server runtime environment","Active pooled connection from connection pooling capability","Valid SQL syntax compatible with SQLite dialect","For parameterized queries: parameter binding support in client library","Active database connection with READ permissions on system tables","libSQL version supporting PRAGMA statements (all modern versions)","Write permissions to backup destination directory"],"failure_modes":["Pool size configuration is static at server initialization — no dynamic scaling based on load","Connection pooling adds ~50-100ms overhead on first query due to pool acquisition","No built-in connection retry logic with exponential backoff for transient network failures","No automatic query optimization or execution plan analysis — relies on underlying libSQL engine","Transaction isolation level is fixed to libSQL defaults — cannot be customized per transaction","Streaming results require manual iteration — no built-in pagination helpers","Prepared statement cache is unbounded — potential memory leak with highly dynamic queries","Schema cache is not invalidated automatically — requires manual refresh after DDL changes","Foreign key constraints are only detected if PRAGMA foreign_keys is enabled","Does not extract application-level constraints or business logic encoded in triggers","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.43,"ecosystem":0.49999999999999994,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:03.577Z","last_scraped_at":"2026-05-03T14:00:15.503Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=libsql-by-xexr","compare_url":"https://unfragile.ai/compare?artifact=libsql-by-xexr"}},"signature":"fzOl0snrcX1hMhFR7Ti4AI/+h8RDZzk4vhYZsFAxipQLEcR/nZd0vzljAhvoQfbZn4/zHU9MC37yau1elj7kAg==","signedAt":"2026-06-20T14:35:29.074Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/libsql-by-xexr","artifact":"https://unfragile.ai/libsql-by-xexr","verify":"https://unfragile.ai/api/v1/verify?slug=libsql-by-xexr","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}