"Logs of user or system queries" matching MCP servers:

Provides AI agents with component documentation, usage examples, and design tokens from the WordPress Design System, enabling them to follow the latest design system guidance for creating user interfaces.

Model Context Protocol server exposing system prompt files and summaries.

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.

Provides structured instructions to Cursor for generating comprehensive system summaries of Node.js/TypeScript codebases.

MCP server for token-efficient access to Open Finance Brasil rules, enabling coding agents to search and retrieve specific regulations, OpenAPI specs, and business rules through progressive disclosure.

Enables interaction with Siemens Polarion requirements management system through natural language. Supports authentication, project management, work item queries, document access, and requirements analysis.

Exposes the Hermes Atlas ecosystem catalog of 100+ community-built tools, skills, and plugins for Nous Research's Hermes Agent to any MCP-aware client, enabling natural language queries and searches.

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.

Exposes design system component documentation to LLM clients via MCP, allowing listing and retrieving component contexts from Markdown files with YAML frontmatter.

An unofficial MCP server that gives AI assistants structured access to Italy's Design System .italia, including components, design tokens, usage guidelines, and GitHub issues, updated nightly.

Enables searching and retrieving regulations from the Hansung University regulation management system.

Queries Aurum design system components, tokens, icons, Figma node IDs, and changelog via LLM clients.

Enables AI coding agents to search public design-system catalogs and retrieve only the relevant tokens or sections for a chosen brand, so generated UI matches a specified visual style instead of generic AI output.

Lets AI agents search and read a folder of Markdown documentation at query time, exposing heading-level search, whole-page or section retrieval, and page listing as tools and resources over stdio or Streamable HTTP. Can run as a CLI, a hosted endpoint, or a library inside an existing Node or Next.js site.

Enables users to create frozen, auditable snapshots of selected Markdown or text-layer PDFs and perform read-only, verifiable local searches with SQLite FTS5/BM25, preserving source hashes, schemas, and page/line anchors.

A smart documentation system that helps AI assistants understand and follow your project's conventions by automatically discovering, routing, and managing AI_README.md guide files.

Lets AI assistants classify an AI system under the EU AI Act, returning risk tier, obligations, and deadlines based on a plain-English description of the product.

Provides AI agents with access to a comprehensive database of 200+ Next.js documentation URLs for intelligent document selection and retrieval. Enables Claude and other AI assistants to analyze user queries and recommend the most relevant Next.js documentation pages.

An MCP server that lets AI coding agents save immutable, versioned Markdown reports into md-log, a human-in-the-loop review and archive layer for vibe coding.

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.