"Vector Database" matching MCP servers:

Enables direct interaction with local WordPress development sites through Local by Flywheel database connections. Provides read-only access to WordPress data including posts, users, options, and custom queries for development and analysis.

Enables AI agents to build, edit, and publish live websites with hosting, database, auth, and domains via the Model Context Protocol.

MCP server for comprehensive WordPress site audits on WP Engine, providing tools for baseline audits, database cleanup, SEO checks, and Cloudflare configuration.

Small self-hosted CMS (PHP 8, no database) for sites with a few pages and a blog, managed by an AI assistant over MCP. The AI changes content, never code: pages, posts, menus, images, PDF documents, redirects, drafts and version history.

Enables AI coding agents to publish development logs to a Notion blog database via a single tool, handling input validation and Notion storage.

MCP server that gives AI tools full WordPress management via WP-CLI. 30+ tools for themes, plugins, posts, menus, users, database, scaffolding, and cache. Works locally or over SSH.

Converts Markdown text into customizable SVG images, supporting elements like headings, lists, and tables. It enables MCP clients to visualize Markdown content in a scalable vector graphic format with custom dimensions and padding.

Implements a Model Context Protocol server for WordPress that enhances VS Code with WordPress-specific intelligence, including database integration, code completion, and documentation.

Read-only MCP server for exploring WordPress MySQL/MariaDB databases. Provides schema inspection, relationship mapping, and safe SQL querying.

Provides access to over 200,000 open-source vector icons from more than 200 icon sets via the Iconify API. It enables users to browse, search, and retrieve specific icon data along with usage examples for popular web frameworks like React, Vue, and Tailwind CSS.

Enables AI workflows to integrate with Notion workspaces, supporting page and database creation, queries with filters and sorting, content updates, and workspace-wide search operations.

Enables MCP clients to manage Wiki.js pages, users, and groups via CRUD tools and to perform semantic RAG search over wiki content with hybrid vector and lexical retrieval.

Enables AI apps to create, organize, and share notes, pages, and small database-backed apps in a personal workspace through a single remote MCP connector.

Turns any WordPress site into an MCP server, allowing AI clients to directly control files, database, WP-CLI, PHP, content, and more through declarative abilities without writing code.

Provides AI assistants with a verified database of WordPress Gutenberg block schemas, attributes, and validated markup examples to prevent hallucinations and broken block markup.

Enables listing recent posts, fetching the latest post matching a slug prefix, and inserting or updating posts by slug on a remote database.

Enables read-only exploration of document libraries — profiling folders, describing files, previewing tables, and extracting text — with an optional local hybrid BM25 + vector index that answers questions in milliseconds, ranked and cited by page. It also sweeps indexed content for secrets and PII, flagging high-severity findings without re-downloading anything.

An MCP server that lets AI agents inspect and safely edit WordPress sites, including PHP/WP-CLI execution, database and file access, Gutenberg block editing, and page-builder-aware changes.

Enables MCP clients such as Claude, Cursor and ChatGPT to read and write in Notion using a single token, covering search, page creation and editing, database queries, comments and file uploads through natural language. It also supports headless use in automation and CI, with batched, idempotent writes and compact context cost.

A Model Context Protocol server for local Drupal development that combines file indexing with drush-powered database queries to provide AI assistants with knowledge of your site's structure, content, and the drupal.org ecosystem.

Connects AI assistants to Notion workspaces, allowing users to search, create, and manage pages or databases through natural language conversations. It supports complex database querying, content updates, and workspace organization via the Model Context Protocol.

Multi-tenant MCP server that connects Claude.ai to WordPress sites through Pluggio, enabling AI-driven site management, content operations, database queries, and file manipulation.

Enables direct interaction with Notion through the Notion API for searching, creating, reading, and updating pages and databases. Supports core operations like page management, database queries, and block operations without middleware dependencies.

Provides access to The Movie Database (TMDB) API for searching movies, retrieving movie details, cast information, and browsing current, upcoming, popular, and top-rated films, as well as searching for actors and directors.

Enables AI coding assistants to publish news articles to a website database, REST API, or local JSON file.

Turns structured content from a CMS into a static MCP server, enabling AI agents to access content via auto-generated tools without a database or runtime dependencies.

An auto-generated Multi-Agent Conversation Protocol server that enables interaction with Notion's API, allowing agents to work with Notion's database, pages, and other features through standardized protocols.

A novel management tool that uses SQLite database to store and manage novel information including chapters, characters, and plot outlines. Provides database operations and SQL query capabilities for writers to organize their creative work through natural language.

Enables AI assistants to search, create, and manage Notion workspace content including pages and databases. It supports advanced database querying, page updates, and content organization through natural language conversations.

Enables coding agents to work inside a live WordPress Elementor editor tab: reading the canvas skeleton and element settings, creating/updating/moving/deleting elements through Elementor's own command API as single undo steps, taking pixel-accurate screenshots, running design lint, and receiving prompts the user types in the editor with Alt+Space. A ghost cursor and overlay let you follow along, and nothing touches the database directly.