"Implementing CRUD Operations and OAuth in Supabase with PostgreSQL and Expo" matching MCP servers:

Enables natural language management of Expo and EAS projects, including SDK documentation, cloud builds, CI workflows, store submission, and TestFlight crash and feedback data.

Enables fast, offline search and retrieval of Expo documentation from local .mdx files, with tools for searching, getting content, listing sections, API references, and quick start guides.

Enables AI assistants to access and search Expo documentation with semantic search and AI-enhanced code examples and explanations using Gemini AI.

Provides access to Expo documentation with advanced search, full content retrieval, section browsing, API references, and quick start guides.

Enables AI-powered semantic search through Expo SDK documentation across multiple versions (v51-v53 and latest), allowing developers to quickly find relevant documentation with configurable similarity scoring.

Enables AI assistants to search and retrieve documentation, component specs, theme guides, and CLI commands for the Meta Astryx Design System, providing structured tools and guidelines for coding agents.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

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

Enables hybrid search (BM25 + semantic with RRF) over documentation, with Thai language support. It exposes MCP tools for adding documents and searching via Qdrant and Ollama/OpenAI, using a stateless Streamable HTTP transport.

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.

An MCP (Model Context Protocol) server that turns the book Deep Learning with Python (François Chollet) into a searchable knowledge base, so Claude can act as a deep-learning/ML expert grounded in the book's content.

Enables Claude to read and analyze PDF documents with automatic OCR processing for scanned files. Features intelligent text extraction, caching for performance, and secure file access with search capabilities.

Enables AI assistants to read and analyze Google Docs comments, including authors, status, quoted text, and reply threads, via a read-only interface with OAuth 2.0 sign-in.

A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations, enabling them to understand and work with n8n's 2,175 workflow automation nodes.

Enables efficient exploration of OpenAPI specs via markdown, with progressive disclosure of endpoints, schemas, and batch operations to minimize AI context usage.

Assists in writing academic papers by extracting, organizing, and referencing scientific PDFs with ABNT formatting.

Provides AI assistants with comprehensive, precise BigCommerce developer documentation via 12 MCP tools, including REST endpoints, GraphQL operations, webhooks, OAuth scopes, and code examples.

MCP server for Confluence Cloud/Server/Data Center, enabling page search, CQL queries, page CRUD, attachment upload, and user identity lookup.

A public MCP server demonstrating how an AI agent can retrieve database schemas and manage local OpenAPI contracts via tools for CRUD operations.