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It supports both ephemeral in-memory databases and persisted databases, and provides typed tools for database lifecycle, query/execute operations, batch writes, data import, cursor-based pagination, and optional vector search.\n\n## Features\n\n- **Bounded SQL execution**: strict limits for statement length, row count, and response bytes\n- **Safe-by-default policy**: blocks `ATTACH` and `LOAD_EXTENSION`, confirms destructive batch operations\n- **Typed MCP contracts**: structured request/response schemas and consistent tool envelopes\n- **Cursor pagination**: resumable `sql_query` with TTL and bounded cursor capacity\n- **Ephemeral + persisted support**: open/list/close in-memory (ephemeral) and file-backed (persisted) SQLite databases\n- **Import support**: ingest CSV or JSON rows into validated table/column targets\n- **Lightweight queue primitives**: push JSON jobs and long-poll for new rows over MCP/HTTP\n- **Optional vector search**: sqlite-vec collections with embedding and optional reranking (`vector` feature)\n\n## Installation\n\nChoose one of the following based on your environment.\n\n### Using NPX\n\nIf this package is published to npm:\n\n```bash\nnpx @bradsjm/sqlite-mcp-rs@latest\n```\n\nOr install globally:\n\n```bash\nnpm install -g @bradsjm/sqlite-mcp-rs\nsqlite-mcp-rs\n```\n\n### Using Docker\n\nLocal stdio transport with latest image:\n\n```bash\ndocker run --rm -i --env-file .env ghcr.io/bradsjm/sqlite-mcp-rs:latest\n```\n\nThe published Docker image uses a glibc runtime and includes local embedding/reranking support.\n\nRun over HTTP transport:\n\n```bash\ndocker run --rm -i --env-file .env ghcr.io/bradsjm/sqlite-mcp-rs:latest -- --transport http --host localhost --port 3000\n```\n\nBuild locally:\n\n```bash\ndocker build -t sqlite-mcp-rs .\ndocker run --rm -i --env-file .env sqlite-mcp-rs\n```\n\n### From Source\n\n```bash\ncargo install --path .\n```\n\nOr run directly:\n\n```bash\ncargo run\n```\n\nRun over HTTP transport:\n\n```bash\ncargo run -- --transport http --host localhost --port 3000\n```\n\n## Quick Start\n\n### Configure MCP\n\nUse this MCP configuration template and set the **optional** environment value for persisted databases.\n\n```json\n{\n \"mcpServers\": {\n \"sqlite\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@bradsjm/sqlite-mcp-rs@latest\"],\n \"env\": {\n \"SQLITE_PERSIST_ROOT\": \"/absolute/path/to/sqlite-data\",\n }\n }\n }\n}\n```\n\n### Transport Options\n\nThe server supports:\n\n- `--transport stdio` (default)\n- `--transport http --host localhost --port 3000`\n\nWhen HTTP transport is enabled, expose and connect to:\n\n```text\nhttp://:/mcp\n```\n\nHTTP connections are not isolated by session for database handles. All HTTP clients in one server process share the same `SQLITE_PERSIST_ROOT` and the same in-process registry, so they can open and use the same persisted database file at the same time.\n\n### Core Environment Variables\n\nDefaults are shown below.\n\n```bash\nSQLITE_PERSIST_ROOT= # optional; if unset, only ephemeral (memory) databases are allowed\nSQLITE_LOG_LEVEL=info\nSQLITE_MAX_SQL_LENGTH=20000\nSQLITE_MAX_STATEMENTS=50\nSQLITE_MAX_ROWS=100\nSQLITE_MAX_BYTES=65536\nSQLITE_MAX_DB_BYTES=100000000\nSQLITE_MAX_PERSISTED_LIST_ENTRIES=500\nSQLITE_CURSOR_TTL_SECONDS=600\nSQLITE_CURSOR_CAPACITY=500\nSQLITE_QUEUE_WAIT_TIMEOUT_MS_DEFAULT=30000\nSQLITE_QUEUE_WAIT_TIMEOUT_MS_MAX=120000\nSQLITE_QUEUE_POLL_INTERVAL_MS_DEFAULT=250\nSQLITE_QUEUE_POLL_INTERVAL_MS_MIN=50\nSQLITE_QUEUE_POLL_INTERVAL_MS_MAX=5000\n```\n\n### Vector Feature (Optional)\n\nBuild/run with vector collection support:\n\n```bash\ncargo run --features vector\n```\n\nAdd local embeddings; configure reranking only when needed:\n\n```bash\ncargo run --features \"vector local-embeddings\"\n```\n\nVector environment variables:\n\n```bash\nSQLITE_VECTOR_DIMENSION=384\nSQLITE_MAX_VECTOR_TOP_K=200\nSQLITE_MAX_RERANK_FETCH_K=500\n```\n\nLocal embedding environment variables (`local-embeddings` feature only):\nReranking is opt-in: leave all `SQLITE_RERANKER_*` keys empty to disable it.\n\n\n```bash\nSQLITE_EMBEDDING_PROVIDER=fastembed\nSQLITE_EMBEDDING_MODEL=BAAI/bge-small-en-v1.5\nSQLITE_EMBEDDING_CACHE_DIR= # optional\nSQLITE_RERANKER_PROVIDER= # leave empty to keep reranking disabled\nSQLITE_RERANKER_MODEL= # leave empty to keep reranking disabled\nSQLITE_RERANKER_CACHE_DIR= # optional\n```\n\n## Tool Reference\n\nAll tools return a consistent envelope:\n\n```json\n{\n \"summary\": \"Human-readable outcome\",\n \"data\": {},\n \"_meta\": {\n \"now_utc\": \"2026-03-02T00:00:00Z\"\n }\n}\n```\n\n### Database Tools\n\n| Tool | Purpose |\n|------|---------|\n| `db_open` | Open and activate memory or persisted database handle |\n| `db_list` | List active/open handles and discovered persisted databases |\n| `db_close` | Close a database handle and invalidate related cursors |\n\n### SQL Tools\n\n| Tool | Purpose |\n|------|---------|\n| `sql_query` | Execute one read-only statement with bounded results and optional cursor continuation |\n| `sql_execute` | Execute one non-read statement and return write metadata |\n| `sql_batch` | Execute multiple write statements with optional transaction and destructive guard |\n| `db_import` | Import CSV/JSON rows into a table |\n\n### Queue Tools\n\n| Tool | Purpose |\n|------|---------|\n| `queue_push` | Insert a JSON job into a named queue |\n| `queue_wait` | Long-poll for the next visible job after a caller baseline |\n\n### Vector Tools (`vector` feature)\n\n| Tool | Purpose |\n|------|---------|\n| `vector_status` | Check vector runtime readiness and optionally prewarm models |\n| `vector_collection_create` | Create vector collection backing tables |\n| `vector_collection_list` | List vector collections and metadata |\n| `vector_upsert` | Upsert embedded vector documents |\n| `vector_search` | Run semantic KNN search with optional reranking |\n\nFor full schemas and validation rules, see `docs/tool-contract.md`.\n\n## Policy and Safety\n\n- `sql_query` accepts exactly one read-only statement.\n- `sql_execute` and `sql_batch` reject read statements.\n- `ATTACH` and `LOAD_EXTENSION` are blocked.\n- Destructive batch writes require `confirm_destructive=true`.\n- Writes to internal table `_vector_collections` are blocked from generic SQL tools.\n- `queue_wait` defaults to `include_existing=false` so callers wait for new rows unless they opt in.\n\n## Troubleshooting\n\n### Persisted mode rejected\n\nIf `db_open` with `mode=\"persist\"` fails, ensure `SQLITE_PERSIST_ROOT` is set.\n\n### Query blocked by policy\n\nIf you see blocked SQL errors, remove `ATTACH` / `LOAD_EXTENSION` or use allowed statements.\n\n### Batch rejected as destructive\n\nFor `DROP`, `TRUNCATE`, or `DELETE` without `WHERE`, set `confirm_destructive=true`.\n\n### Vector tools unavailable\n\nRun with `--features vector` for collection support, and `--features \"vector local-embeddings\"` for local embedding/reranking. Linux GNU npm payloads include local embedding/reranking and require glibc 2.28 or newer; Linux musl release and npm payloads remain vector-only.\n\n## Development\n\nRun unit tests:\n\n```bash\ncargo test\n```\n\nRun integration checks against MCP Inspector:\n\n```bash\nbash scripts/test-sqlite-mcp-inspector.sh cargo run --\n```\n\nRun integration checks against MCP Inspector over HTTP transport:\n\n```bash\nbash scripts/test-sqlite-mcp-inspector-http.sh cargo run --\n```\n\nThe stdio script defaults to `SQLITE_INSPECTOR_VECTOR_MODE=disabled`, which\nasserts that vector tools are absent. Use `degraded` to test a `vector` build\nwithout downloading models:\n\n```bash\nSQLITE_INSPECTOR_VECTOR_MODE=degraded \\\n bash scripts/test-sqlite-mcp-inspector.sh cargo run --features vector --\n```\n\nUse `local` for the real FastEmbed embedding and reranking flow:\n\n```bash\nSQLITE_INSPECTOR_VECTOR_MODE=local \\\n bash scripts/test-sqlite-mcp-inspector.sh cargo run --features local-embeddings --\n```\n\nPull requests and pushes to `main` run the deterministic Rust and MCP matrix in\n`.github/workflows/integration.yml`. The network-dependent real-model flow runs\nweekly or on demand through `.github/workflows/model-integration.yml`.\n\nShow CLI help:\n\n```bash\nsqlite-mcp-rs --help\n```\n","readmeFilename":"README.md"}