"Super User" matching MCP servers:

A Model Context Protocol server for querying and reading articles from a how-to documentation portal, with search and retrieval tools scoped to the token's user permissions.

Provides structured access to One Piece Wiki content—articles, infoboxes, chapters, episodes, and story arcs—with configurable spoiler limits that keep responses within what a user has read.

MCP server that recommends which npm/PyPI libraries to use or avoid, with concise verdicts, alternatives, and code snippets, keeping responses under 500 tokens.

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

This server integrates with Mozilla Developer Network (MDN) documentation to suggest CSS properties, check browser support, and provide implementation guidance with user consent mechanisms.

Enables users to search and navigate over 22,500 indexed sections across 16 Canadian building codes and user guides. It supports keyword searches, hierarchy navigation, and optional full-text extraction from user-provided PDF documents.

Provides document reranking capabilities via the ZeroEntropy Zerank API, allowing AI assistants to sort documents by relevance to a user query through the Model Context Protocol.

Connects AI tools to your organization's Haiven prompts, allowing seamless access to expert-crafted prompts for user stories, code reviews, and more without switching apps.

Provides controlled access to llms.txt documentation files through MCP tools, allowing AI assistants to fetch and read documentation from user-approved domains with full audit visibility of tool calls and context retrieval.

Provides a user-defined list of llms.txt files and a fetch_docs tool to read documentation URLs from those files, enabling controlled and auditable documentation retrieval for MCP host applications.

Enables AI assistants to retrieve verbatim U.S. mortgage regulations with citations and effective dates, verify quotes, and run guided compliance playbooks without sending user documents to the server.

Enables a Cursor agent to search and read Confluence Server/Data Center pages via Personal Access Token, offering read-only tools for user info, spaces, page search, and page content.

MCP server for Wiki.js with full GraphQL API coverage, fine-grained permissions, multi-user support, and deployable on Vercel.

Search Stack Exchange questions, fetch complete Q&A threads as clean markdown, browse tag FAQs, and look up user profiles via MCP.

Enables LibreChat agents to manage per-user private files, persistent documentation, RAG indexing and semantic search, and publish files via secure opaque public links.

Enables MCP hosts to retrieve documentation from user-defined llms.txt files via a fetch_docs tool, allowing auditing of tool calls and returned context.

An MCP server that enables users to fetch and audit documentation from user-defined llms.txt index files. It provides tools to list documentation sources and retrieve content from specific URLs with built-in domain access controls for secure context retrieval.

Enables coding agents and browser chat users to search, read, and optionally write Jira, Confluence, Bitbucket, and Assets data through Atlassian APIs using per-user credentials.

Enables users to read, create, and edit Feishu Docx/Wiki pages and browse knowledge spaces through user-authorized Feishu credentials.

Enables AI assistants to search, read, create, edit, and archive Outline documents, manage collections and threaded comments, and find backlinks through the Outline API. Supports automatic rate limiting, read-only or delete-disabled access controls, and per-user API keys for multi-user setups.