"Understanding OAuth 2.0 Protocol" matching MCP servers:

Connects AI agents with Swagger/Knife4j API documentation, enabling real-time retrieval, search, and structured understanding of API interfaces, parameters, and schemas.

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.

Provides guidance on the W3C Authoring Tool Accessibility Guidelines (ATAG 2.0) to help authoring tool developers build accessible software.

High-performance code understanding toolkit that enables batch reading of multiple files with dependency context, structural outline extraction with Java annotation awareness, and precise location of classes/methods across large codebases.

MCP server that provides AI coding agents automatic access to AGENTS.md documentation from GitHub repositories, enabling understanding of codebase conventions and patterns.

An MCP server that lets Claude query, search, and explore OpenAPI specifications from local files. Supports OpenAPI 3.x and Swagger 2.0.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Assists AI coding agents in understanding and implementing UTCP by providing documentation search, manual validation, code generation, OpenAPI conversion, and an LLM-powered expert agent.

Provides comprehensive access to WCAG 2.2 accessibility guidelines, including all 87 success criteria with full Understanding documentation, 400+ techniques, glossary terms, and ACT test rules from official W3C data.

Provides access to Better Auth framework documentation, authentication provider configurations, database adapter setup, and generates production-ready authentication configs for modern web frameworks.

A Model Context Protocol (MCP) server for structured understanding of RFC documents.

Enables structured document understanding of local PDFs via a dual-extract MCP server, combining MinerU text/layout and Qwen3-VL vision with fusion adjudication for field extraction, tables, formulas, and validation. Fully local and offline.

A lightweight, dependency-free MCP server that answers cited queries over a Tero corpus index.json via stdio JSON-RPC 2.0, with honest refusal semantics and no silent empty results.

A lightweight MCP server that enables querying a project's corpus (docs, decisions, issues, skills) with cited answers and typed refusals via stdio JSON-RPC 2.0.

Enables searching and retrieving content from Lark (Feishu) documents via MCP tools, supporting Doc and Wiki types with OAuth authentication.

Enables MCP clients to search ln-ashlar documentation and review implementation plans via Gemini, with OAuth 2.0 + PKCE authentication.

Enables MCP clients to search, read, list, create, update, and delete Wiki.js pages using a user's own Google Workspace identity, with Wiki.js enforcing all authorization.

Provides AI assistants with access to OpenAPI specifications, enabling API discovery, schema retrieval, and direct API execution with support for OAuth 2.0 and other authentication methods.

An MCP server that provides AI assistants with advanced document perception capabilities including text extraction, structure analysis, and deep content understanding through multiple tools and providers.

Transforms any GitHub repository into a documentation hub for AI assistants, enabling up-to-date access to documentation and code to eliminate hallucinations.