"Assessing security risks of inputting sensitive material into a hosted MCP server" matching MCP servers:

Enables browsing Material Design 3 documentation by listing top-level sections and retrieving page content as Markdown.

Provides AI agents with tools to access Material 3 design components, design tokens, icons, and accessibility guidelines across multiple frameworks.

An MCP server that generates security weekly reports and manages a terminology glossary for the Taiwanese cybersecurity community.

Read-only CVE intelligence, remediation playbooks, and agent setup guides. Not a scanner.

Provides search and retrieval over a local database of Pathfinder 2e rules. Enables Claude Code to answer rules questions with cited, accurate answers from fetched entries.

Enables searching and retrieving documentation from MkDocs Material-powered sites.

Provides AI assistants with access to visionOS development articles from stepinto.vision, enabling browsing, retrieving, and searching content with AI-ready formats.

Provides AI assistants with comprehensive access to Material UI documentation, component details, and setup guides for building React applications. It enables searching through 50+ components and provides structured information on imports, customization, and best practices.

Provides instant access to authoritative security documentation from organizations like OWASP, NIST, and major cloud providers through natural language semantic search. It enables users to retrieve security best practices, frameworks, and vulnerability information directly from a locally cached knowledge base.

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.

A self-hosted MCP server for PageIndex's vectorless, reasoning-based document retrieval. It ingests PDFs into a hierarchical table of contents using an LLM and serves documents, structure, and page content via MCP tools.

Enables searching and browsing the entire F5 AI Security documentation using TF-IDF search and section reader tools.

Structured .aide spec files that give AI agents progressive disclosure into your codebase architecture via MCP.

Provides access to developer roadmap content from roadmap.sh, allowing users to list available roadmaps and fetch detailed Markdown content for specific career paths.

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 HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.

Enables AI assistants to interact with OpenAPI documents for analysis, validation, and management through structured interfaces.

A read-only MCP server for ServiceNow that provides deep visibility across multiple instances via query, schema inspection, identity, workflow, and code search tools.