"Information about PG Vector" matching MCP servers:

PG-MCP is an HTTP server implementation that enables AI systems to interact with PostgreSQL databases via MCP, providing tools for querying, connecting to multiple databases, and exploring schema resources. The system enriches context by extracting table/column description from database catalogs.

Enables LLM assistants to analyze PostgreSQL query execution plans with EXPLAIN and receive structured reports highlighting performance bottlenecks, all through read-only database access.

Enables AI assistants to search, compare, and get detailed information about MCP servers from the mcpcatalogs.com directory.

A local stdio MCP bridge that enables Cursor to interact with a remote PostgreSQL database through a PHP/Apache HTTP tunnel.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

MCP server providing deep PostgreSQL context to AI assistants, including schema DDL, index health, foreign key associations, query execution plans, and performance statistics via read-only tools.

MCP-NixOS is a Model Context Protocol server that provides real-time, accurate information about NixOS packages, options, Home Manager, and nix-darwin configurations, preventing AI assistants from hallucinating about NixOS resources and enabling them to deliver factual system configuration guidance.

Gives agents read-only access to PostgreSQL databases, enabling them to inspect schemas, sample rows, compare stands, view query plans, and run read-only SQL through a single entry point.

Enables AI assistants to discover allowed PostgreSQL schemas, run parameterized SELECT queries, and inspect query plans safely through parser-checked read-only transactions, timeouts, row caps, and role-based access controls.

Provides access to Aceternity UI component library documentation, enabling AI assistants to browse, search, and retrieve detailed information about components.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

A Model Context Protocol server that allows AI assistants to search for and retrieve information about OpenTofu providers, modules, resources, and data sources from the OpenTofu Registry.

Enables read-only PostgreSQL schema exploration through natural language, including tables, indexes, sizes, sample rows, and query plans, with structural safeguards against writes.

An MCP server providing comprehensive HubSpot CMS development documentation, enabling users to get contextual information about building HubSpot websites through natural language.

Enables AI assistants to query PostgreSQL databases, inspect schemas, and retrieve complete DDL with built-in read-only protection. It supports multiple database connections and allows for secure database interaction and exploration via the Model Context Protocol.

Enables unified code search and analysis over a monorepo, combining exact, semantic, and call graph queries with indexing, incremental updates, and impact analysis.

Enables an AI assistant to access many named PostgreSQL database connections at once, selecting connections by name or alias and reusing pools for queries, schema inspection, and analysis tools. It supports read-only or unrestricted access modes, live config reloads, and safe result truncation.

Enables MCP clients to explore PostgreSQL schemas, run guarded read-only queries with row limits, and inspect execution plans without executing them. It prevents writes and DDL while exposing schema discovery tools, a schema overview resource, and a guided analysis prompt.

Enables AI assistants to search, analyze, and retrieve detailed information about Dart and Flutter packages from pub.dev. Supports package discovery, version management, dependency analysis, and documentation access.

A Model Context Protocol server that allows interaction with the RubyGems.org API to fetch metadata about Ruby packages, search gems, and explore dependencies and ownership information.

An experimental Model Context Protocol server that enables AI assistants to access information about Duyet, including his CV, blog posts, and GitHub activity through natural language queries.

Enables querying NPM package download statistics, metadata, and dependency information through natural language.

A Model Context Protocol (MCP) server that provides information about installed applications on your computer, support MacOS and Windows.

A Model Context Protocol server that allows management of Netlify sites, enabling users to create, list, get information about, and delete Netlify sites directly from an MCP-enabled environment.

A Model Context Protocol server that enables integration with GitHub Actions, allowing users to fetch available actions, get detailed information about specific actions, trigger workflow dispatch events, and fetch repository releases.

Enables AI assistants to interact with Terraform Cloud workspaces and runs, including checking run status, listing workspaces, and retrieving detailed information about workspaces and runs.

An MCP server that allows searching for and retrieving information about Model Context Protocol servers registered on the MCP Hub.

Enables AI assistants in IDEs to query custom documentation databases for more relevant and up-to-date information about libraries and frameworks. Improves coding suggestions by providing project-specific documentation through a configurable endpoint.

Provides tools for mapping and analyzing GitHub repositories. It allows users to set a GitHub Personal Access Token and retrieve detailed information about a specified repository, including its structure and summary statistics.

Connects Reaper projects to an MCP client like Claude Desktop, allowing users to ask questions and retrieve parsed information about the projects using natural language.