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304,790 tools. Last updated 2026-07-20 17:06

"SQLite" matching MCP tools:

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    Read-only SQLite access for AI agents in a single ~1 MB static binary. Query tool with row limits, list_tables, and table schemas exposed as MCP resources. The database is opened read-only, so writes fail at the SQLite layer. No Python, no Node, no runtime to install; SQLite is compiled in. Binaries for Linux, macOS, and Windows.
    Last updated
    MIT

Matching MCP Connectors

  • Explore, query, and inspect SQLite databases with ease. List tables, preview results, and view det…

  • Explore your Messages SQLite database to browse tables and inspect schemas with ease. Run flexible…

  • Search persistent memory across SQLite and markdown files to retrieve prior context, feedback, project state, and session notes. Use at conversation start to recall relevant facts.
    MIT
  • Establish database connections for PostgreSQL, MySQL, or SQLite to enable querying, schema management, and migration operations within the Berth MCP server.
    MIT
  • Create database backups for PostgreSQL, MySQL, and SQLite using native dump tools, with output paths sandboxed to a designated backup directory.
    MIT
  • Provide agents with full database management: create tables, insert, query, update, delete, import, export, and run raw SQL across SQLite, Postgres, MySQL, and Turso.
    MIT
  • 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
  • Retrieve all views in the connected SQLite database to explore available views or verify a view exists before querying.
    MIT
  • Persist durable, repository-scoped facts (architectural decisions, conventions) to local SQLite store for recall across sessions. Append-only; call search_memory first to avoid redundant entries.
  • Clear the in-memory thinking state to start a fresh session while preserving all previous data in SQLite. Requires confirmation to prevent accidental clearing.
    MIT
  • Save the current conversation session to a local SQLite database for later resumption. Use auto_summarize to let Veto generate a structured summary automatically.
    MIT
  • Remove all indexed content from a named source, including vector store, BM25 index, and SQLite metadata. Use dry run to preview before permanent deletion.
    MIT