"SQLite" matching MCP servers:

Gives AI agents controlled access to an existing, live SQLite database that another application owns, with permission-gated schema, read, structured write, backup, and diagnostics tools. Structured writes with mandatory filters, row limits counting cascades, and request idempotency keep a mistaken but authorized agent from causing unrecoverable damage.

Enables AI assistants to inspect and manage a SQLite database by exposing MCP tools for reading statistics, introspecting schema, searching and paginating user records, creating, updating and deleting users, and running guarded read-only SQL queries. It also serves the same database operations over a RESTful HTTP API alongside a web signup portal, with hashed passwords and parameterized queries for safety.

A secure MCP server that exposes a SQLite database to AI agents with Role-Based Access Control, supporting authentication, customer/order/user management, and audit logging.

Turn PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite or Snowflake into MCP tools and a REST API, with API keys and per-table role-based access.

Enables AI agents to inspect database schemas and run strictly read-only SQL queries with guardrails against destructive statements, multi-statement chaining, and unbounded scans. Supports SQLite natively and PostgreSQL optionally.

Transparent Go proxy that intercepts, signs, rate-limits, redacts, and audits all MCP JSON-RPC tool calls without modifying client or server. Stores to JSONL or SQLite with HMAC-SHA256 signatures.

A small MCP server that lets an LLM query PostgreSQL, MySQL, MariaDB, SQL Server, or SQLite databases safely — read-only, role-restricted, and with sensitive data blacked out.

Aggregates security intelligence feeds (vulnerabilities, news, threat intel) into a local SQLite database and provides MCP tools for AI agents to query and analyze them.

Enables LLM clients to read and modify MS-SQL, PostgreSQL, MySQL/MariaDB and SQLite databases through 38 MCP tools, with every table, view, function and procedure gated by explicit permission rules that deny by default. Ships with a desktop GUI for authoring rules, approving destructive operations and auditing what the model did.

Connects AI assistants to HackerOne to pull bug bounty history, program scopes, and report details into a local SQLite database, exposing tools for searching, analyzing, and generating attack briefings using both personal and public disclosed reports.

Provides AI agents an auditable memory layer with provable deletion via signed certificates, a tamper-evident hash-chained audit trail, and bi-temporal time-travel recall over SQLite or Postgres.

Enables querying UniFi UDM IPS/IDS threat events and security logs stored in SQLite via MCP tools, allowing an LLM to analyze network security data with filtering and aggregation.

Enables AI agents to connect to security cameras, detect objects with YOLOv8, recognize known faces, monitor restricted intrusion zones, capture annotated snapshots, and query a persistent SQLite event history.

Autonomously introspects an undocumented SQLite database to expose auto-generated CRUD tools, join-explaining prompts, and schema resources for LLM agents. All queries run through pre-validated parameterized SQL templates, so the model never writes or sees raw SQL, with full audit logging of every operation.

Enables LLM agents to discover and invoke guarded web search, read-only SQLite queries, and sandboxed file read/write tools over the Model Context Protocol. It adds schema validation, rate limiting, output sanitization, request-ID logging, and Prometheus metrics at the protocol boundary.

A local MCP server that wraps common forensic command-line tools for CTF/forensics competitions into MCP tools, enabling automated analysis of disk images, memory dumps, network captures, SQLite databases, archives, and steganography.

Enables AI clients to safely query PostgreSQL or SQLite databases read-only through AST-validated guardrails, schema introspection, and statistical table profiling. It returns results as Markdown tables, JSON audit reports, and database health checks.

Enables AI assistants to explore and query PostgreSQL or SQLite databases read-only, with SQL allow-listing, automatic row limits, statement timeouts, column masking, per-tool rate limits and JSONL audit logging.

Enables autonomous AI agents to manage TDD tasks, knowledge documents with full-text search, and AES-encrypted secrets in a local SQLite store. Provides diagnostics, backups, and self-healing repair tools for vault integrity and recovery.

Enables running single, validated SELECT statements against PostgreSQL, MySQL/MariaDB, SQL Server, SQLite, and Oracle through read-only sessions with schema/table inspection, query plans, row limits, timeouts, and an audit log. Keeps the assistant strictly read-only by combining a read-only database user, SQL validation, and automatic rollback.