"Vector Database" matching MCP servers:

Analyzes database migrations for risks like lock contention and data loss before they run. Supports Flyway and Liquibase formats, providing risk scores and rollback generation.

An MCP server that scaffolds full-stack projects with consistent structure, Docker setup, CI/CD pipelines, and database configuration.

Developers are constantly feeding context files to AI tools like Cursor, Windsurf, Copilot Workspace, and Claude Code. If your agent doesn't understand your real database schema, it writes code that fails in production. LintBase acts as the bridge. It connects directly to your database, reads the ground truth of your live documents, and generates structured context optimized for AI. 🤖 Stops AI

Blocks unsafe PostgreSQL migrations before an AI agent writes or runs them. check_before_apply returns a pass/fail gate; reads the real Postgres parser, classifies the lock each statement takes, checks 112 safety rules. Runs offline, no database required.

Enables checking project files like Dockerfile, .nvmrc, and CI workflows to determine whether pinned runtime, database, and OS versions are still supported, providing end-of-life dates, latest patches, and upgrade targets for 470+ products.

MCP server that runs Flyway repair + migrate across multiple database projects for QA or Development environments.

An MCP server that enables AI assistants to manage database migrations and validate schemas using the Ariga Atlas CLI. It provides tools for applying migrations, generating diffs, linting, and checking migration status through natural language.

Run code in Lizard Sandboxes on Lizard (lizard.build). Provides 89 MCP tools, including 17 sandbox tools for commands, files, pause/resume, snapshots, forks and HTTPS ports, plus app, database and Git tools. Connect over Streamable HTTP with OAuth or your own API key. Cloud usage is billed; see lizard.build/pricing.

Integrates Ploi.io API functionality into AI assistants for managing servers, sites, and databases through natural language. It enables features like one-command deployments, project linking, server log retrieval, and database backup management.

MCP server for Sqemo, a web-based ERD tool with team naming standards. 34 tools: read/edit entities, attributes, and relationships; generate physical names from a shared glossary and naming rules; SQL (7 dialects) and DBML import/export; ERD lint, diff, and ALTER generation.

Enables AI assistants to scaffold, edit, live-preview, and deploy full-stack apps with built-in database, email, and push notification capabilities through natural language.

Provides 26 tools for Puppet Master framework operations including initialization, development, database management, deployment, builds, linting, testing, configuration, knowledge retrieval, contribution workflows, and code reviews.

MCP server for Coolify API that enables full deployment workflows from zero to production, including project, server, and application management.

Manages Coolify self-hosted PaaS infrastructure through AI assistants, enabling deployment, database management, and server operations via natural language.

AI-native control plane for Kubernetes and GitOps. Provides 30+ tools for service deployment, database provisioning, and log management via natural language.

Enables auditing npm, pip, and other package dependencies for known CVEs via the OSV database, with tools to scan manifests, query individual packages, and integrate into CI/CD workflows.

Enables Claude to function as a full-stack software engineer with comprehensive development capabilities including project creation, database management, frontend/backend development, testing, deployment, and DevOps operations across multiple frameworks and technologies.

OBTO gives your AI assistant a hosted app platform: it scaffolds, deploys, and operates real full-stack apps — pages, APIs, database, scheduled jobs — in a workspace created automatically at your first Google sign-in.

Publishes the app your coding agent built so your coworkers can use it: a private address behind email sign-in, its own database, scheduled jobs and email reminders, with tools to invite people, read logs, roll back and export data.

Bridges AI IDEs with Tencent CloudBase for seamless deployment, enabling users to go from AI-generated code to live applications with automatic cloud resource configuration, database setup, and intelligent debugging.

Enables assessing database change risk, estimating impact, generating rollback plans, prechecking change windows, and orchestrating dry-run, canary, apply, and rollback with approval gates and auditable state transitions.

Enables automated cPanel management including subdomain provisioning, FTPS deployment, MySQL database management, snapshot backups, and remote file operations via MCP.

Enables AI agents to interact with 1C: Enterprise development environment, including running tests, managing launch profiles, building configurations, and performing database operations through the 1C: Platform Tools extension.

Enables AI agents to check a dedicated Mac's readiness, inspect recent iOS/Flutter/Xcode builds and artifacts, and optionally dispatch allowlisted build workflows without exposing a shell or signing credentials.

Enables static, database-free SQL health checks that return rule-based findings and verdicts, propose executable fixes, and verify rewrites are equivalent while comparing execution plans and suggesting indexes. Supports batch/file/git-diff review for CI gating, all at zero-dependency Tier0.

A Jenkins MCP server for multi-instance build management, log inspection, failure diagnostics, and optional vector search.

Enables developers and coding agents to submit structured database schema changes to a shared coordinator, compare them against accepted migration history and other active work, and receive reports on safe changes, stale bases, dependencies, and conflicts before migrations are finalized. It supports CI-controlled deployment coordination without exposing application database credentials.

Enables Claude Code to create, inspect, and delete GitOps applications on a local kind lab, reporting status across GitLab, Harbor, Argo CD, and app URLs.