"React Hook Form" matching MCP servers:

Enables LLMs to manage PocketBase databases with comprehensive CRUD, authentication, file management, backup, and hook operations through a standardized protocol.

Enables intelligent form data collection for mediation/dispute resolution services through conversational AI. Supports structured information gathering, real-time validation, and database storage with integration for Cursor, Dify, and other LLM platforms.

Enables conversational management of Postgres-backed project data, off-limits rules, and hook styles, plus logging TikTok view counts and correlating performance by creative direction, hook style, or video-gen model. It also provides a sandbox to invoke Direction, Hook, and Script agents directly for prompt iteration without a full Telegram approval loop.

MCP server that wraps Jiandaoyun (简道云) form operations, providing 9 tools for app discovery, form exploration, and data CRUD via SSE transport.

Enables MCP clients such as GitHub Copilot, Codex, Claude... to explore a SQL Server 2017+ database read-only: databases, schemas, tables, views, procedures, functions, indexes and dependency graphs, plus filtered, grouped, sampled and paginated queries capped by row limits.

Lets AI agents read and write the Calibre Ebook Translator plugin's translation cache chunk by chunk, enabling direct book translation workflows without manual copy-paste.

Enables an AI assistant to read form structures and submissions from a Coletum account (read-only) and to produce Excel/CSV exports, Coletum-style or user-template PDFs, and photographic reports on request. It also stores preferences such as logo and company name and reports where each generated file was saved.

Provides specialized analytics tools for querying VSee's Elasticsearch stats-\* indices, including account/group metrics, visit trends, platform breakdowns, rating distributions, and subscription tier analysis.

Read-only MCP server that provides tools to search books, get book details, list authors, and view library statistics from a PostgreSQL database.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

Enables LLM agents to read PostgreSQL data through a fixed catalog of parameterized, read-only queries, without allowing free-form SQL or access outside bounded inputs.

Enables Codex to safely discover and query PostgreSQL connections saved in DBeaver through structured, parameterized read-only SELECTs, including catalog inspection, query analysis/execution, settings retrieval, and sanitized log summaries. It enforces read-only transactions, server-side validation, and bounded access without accepting free-form SQL or exposing credentials.

heroicons-mcp is a Model Context Protocol (MCP) server that exposes Heroicons. It allows LLMs and agentic applications to search, list, and generate usage examples of icons in React applications.

Enables natural language interaction with the Dossin database system, allowing users to query trucking and logistics data, execute SQL queries, and compile React components via the backend API.

Enables secure access to Oracle databases with fine-grained access control, supporting multiple databases simultaneously with configurable access modes (readonly/readwrite/full) and table-level permissions for safe query execution and data management.

Provides access to MySQL databases with fine-grained access control, supporting multiple databases simultaneously with configurable access modes (readonly, readwrite, full) and table-level permissions using whitelists, blacklists, wildcards, and regex patterns.

Enables AI agents to interact with Ragic databases via MCP protocol, supporting form exploration, data CRUD, approval, and locking operations.

A TypeScript-based server to interact with ArangoDB using the Model Context Protocol, enabling database operations and integration with tools like Claude and VSCode extensions for streamlined data management.

Exposes tools that let AI coding agents browse a repo's schema snapshot of tables and columns and validate their SQL against it before running or writing it, so queries referencing invented or stale table and column names get caught and corrected up front. Provides list_tables, describe_table, search_columns, and check_sql over the same snapshot used by the CLI, hook, and CI check.

A version-agnostic MCP server for Odoo that enables AI agents to interact with any Odoo app's data, schema, and source code, supporting tasks like data CRUD, schema mapping, code analysis, and feature implementation.