Generate SQLite-based handlers on Flux MCP server using process ID and handler code, enabling automated creation and management of database interactions without manual coding.
BSD 3-Clause
133,407 tools. Last updated 2026-05-12 22:37
"sqlite" matching MCP tools:
- Scan a directory to identify all SQLite database files (.db, .sqlite, .sqlite3) for database management and query operations.MIT
- Search through saved memory entries by matching any substring within their values or tags. Solves the problem of recalling content when the exact key is unknown. Returns results ranked by relevance.
- Persist facts, decisions, lessons, or patterns for durable context retrieval. Writes to SQLite, optionally syncs to Obsidian vault. Handles duplicates via strict, warn, or off modes.MIT
- Search all locally stored Signal messages by keyword or phrase to locate specific messages across conversations. Results are ranked by relevance and can be filtered by sender.MIT
- Find project facts, decisions, and patterns using ranked full-text search across SQLite and file memories, with optional Obsidian integration and progressive detail levels.MIT
Matching MCP Servers
- Alicense-qualityBmaintenanceEnables AI agents to query and explore SQLite databases through schema inspection, arbitrary SQL execution, and predefined canned queries. Compatible with Datasette metadata for enriching database structure with descriptions.Last updated21Apache 2.0
- MIT
Matching MCP Connectors
Explore your Messages SQLite database to browse tables and inspect schemas with ease. Run flexible…
Explore, query, and inspect SQLite databases with ease. List tables, preview results, and view det…
- Read a Markdown note from the local knowledge base and return its content, metadata, and structure as JSON. Use before write_file to inspect or preserve existing content.MIT
- Check dedup ledger counts after writes to confirm progress or identify skipped writes with 'deduped' status.MIT
- Permanently delete a memory by its ID to remove outdated, incorrect, or irrelevant entries from the local database. Action is irreversible and returns success status.MIT
- Retrieve relevant memories by querying with keywords or phrases. Results are ranked by relevance and importance, and searches are tracked for access patterns.MIT
- Save information like preferences, lessons, or project context to a persistent local database. Memories are retained across sessions and can be retrieved later.MIT
- Search vault database with exact keyword matching using SQLite FTS5. Returns timestamped entries with session context for precise queries.MIT
- Update an existing memory by modifying only the fields you provide. Correct inaccuracies, adjust importance, or reclassify category without deleting. Omitted fields remain unchanged.MIT
- Generate Ed25519-signed receipts using pre-computed SHA-256 hashes for external data. Record AI actions with full control over receipt fields and cryptographic verification.MIT
- Rebuild the local SQLite index of all Markdown files, metadata, and links after reorganizing notes. Optionally compute vector embeddings for semantic classification when an embedding provider is available.MIT
- Browse all stored memories from your local SQLite database, ordered newest first. Filter by category or project to audit memory contents and check counts.MIT
- Query and paginate receipts from SQLite storage with filters like agent, action, status, and more. Sort by timestamp or cost to audit agent activity or generate reports.MIT
- Get a receipt by ID to inspect its 27 fields, including timestamps and cryptographic proof. Returns error if ID not found.MIT
- Index source code into a local SQLite database and perform symbol lookups, call hierarchy analysis, dead code detection, and more—no LLM calls required.MIT
- Manages databases for agents with full SQL capabilities including table creation, queries, indexing, and data import/export.MIT