"Using Supabase in Flutter applications" matching MCP servers:

A real-time server that provides Flutter/Dart documentation and pub.dev package information to AI assistants, ensuring they generate accurate and up-to-date Flutter code.

Enables AI coding assistants to search, retrieve, and reuse validated Flutter animations with documented pitfalls, directly integrable into Claude Code or Cursor.

Integrates the Pub.dev API with AI assistants to provide real-time Flutter package information, documentation, and trend analysis. It enables users to search for packages, compare versions, and evaluate quality scores through natural language commands.

Local-first MCP server providing deterministic Flutter/Dart static analysis, knowledge search, and project review with structured insights and confidence-based findings over an indexed SQLite store of official repositories.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Exposes a small catalog of programming study topics through the Model Context Protocol (MCP) for local learning.

Enables interaction with Zhejiang University's learning platform (学在浙大 / 智云课堂) via MCP tools, allowing natural language commands to check todos, view schedules, fetch lecture transcripts, and submit homework.

Enables AI clients to search live documentation for popular developer libraries and return clean, source-cited summaries via a RAG pipeline.

Extracts and stores documentation content from Microsoft Learn and GitHub URLs into PocketBase with full-text search, metadata preservation, and automatic collection management for easy retrieval and organization.

Enables searching the YÖK National Thesis Center and retrieving thesis contents in Markdown format for LLM applications. It allows users to perform detailed searches based on criteria like author, university, and subject while providing programmatic access to thesis metadata and PDF content.

An MCP server that guides AI assistants to navigate documentation using their built-in tools (grep, file reading) instead of traditional RAG.

Allows AI assistants to fetch and read Enterprise WeChat documents in real time using cookie authentication and HTML-to-Markdown conversion.

Provides controlled, verifiable access to jw.org content for AI applications, enabling search, article retrieval, and scripture lookup while preventing hallucinations.

Provides comprehensive Biblical research tools including scripture lookup, interlinear Greek/Hebrew data, and Strong's concordance within a Protestant theological framework. It enables AI applications to perform full-text biblical searches, topical studies, and cross-referencing using authoritative theological data.

Provides access to PatternFly React documentation, development rules, and component schemas through MCP tools, enabling AI assistants to help developers build applications with PatternFly components following best practices.

Enables AI agents to build React applications using JP Morgan Chase's Salt Design System by providing real-time access to component APIs, documentation, and accessibility guidelines. It supports tasks such as scaffolding new projects, building UI patterns, and converting Figma designs into Salt code via the Model Context Protocol.

Enables AI coding assistants to search and cite company Markdown knowledge stored in GitLab repositories using a local, read-only index.

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.

An MCP server that enables reading, writing, and searching documents in Outline via its API. It supports document management, full-text search, and collection organization using Markdown formatting.

A MCP server for interacting with Aptos documentation and creating full-stack Aptos blockchain applications.