"SQL-Based Technologies or Concepts" matching MCP servers:

Enables querying and modifying Markdown documentation as a relational database using SQL, with automatic write-back of changes to the original .md files.

An MCP server that performs code reviews by comparing local source code against design documents stored in Confluence. It integrates with Atlassian MCP servers to analyze documentation and provide suggestions for quality improvement based on design specifications.

Enables AI models to search, browse, and retrieve full content of OpenCode documentation pages.

A Model Context Protocol Server that enables language models to access and manipulate Readwise documents and highlights programmatically.

Enables interactive AI chat through the Anthropic API, with document retrieval, slash commands, and extensible MCP tool integrations.

Enables local analysis of scientific papers including PDF parsing, mathematical formula extraction with AST generation, PyTorch code generation from methodology, and automated Markdown report generation with visualizations.

Enables access to OpenTelemetry documentation by fetching and converting pages to markdown format and searching content using Google Custom Search. Provides comprehensive documentation lookup and search capabilities for OpenTelemetry concepts, instrumentation, and configuration.

Provides read-only access to finished meeting transcripts for AI assistants like Claude Code or Codex, enabling them to answer questions or draft summaries based on the transcriptions.

Enables LLMs to chat with long PDFs using a reasoning-based, tree-structured document index that navigates content like a human would, without requiring vector databases or hitting context limits.

Connects a Zotero research library to AI assistants so users can search items by title, author, tag, collection, full text, or meaning, read metadata and PDF content, add annotations, and add or organize papers by DOI, URL, ISBN, or BibTeX. It works in local or web mode and is available both as an MCP server for chat apps and as a CLI plus agent skill for shell-based agents.

Read-only, keyless MCP server for searching and retrieving trading concepts, indicator details, families, and source code from the LuxAlgo Library.

A codebase ontology and a cited wiki, both kept as Markdown in one folder on your disk. Typed graph answers — what a change affects, how two concepts connect, which wiki lines lack a citation — and every write lands as a Git diff a person reviews.

Provides AI models with direct access to documentation for over 600 technologies from DevDocs.io, including popular languages, frameworks, and tools. It enables comprehensive searching, content retrieval, and offline access via an intelligent local caching system.

Helps AI assistants access shadcn/ui component documentation and examples through a TypeScript-based MCP server that provides reference information for component details, usage examples, and search capabilities.

Enables AI assistants to search sfmc-devtools wiki offline, explain config concepts, walk component checklists, and list metadata types via mcdev.

MCP server for Hugeicons integration and documentation This is a TypeScript-based MCP server that provides tools and resources for integrating Hugeicons into various platforms. It implements a Model Context Protocol (MCP) server that helps AI assistants provide accurate guidance for using Hugeicons

A project-agnostic Open Knowledge Format MCP server that indexes Markdown concepts with YAML frontmatter and provides CLI and MCP tools for search, validation, and graph navigation of structured knowledge.

Enables access to Yuque (语雀) documentation through cookie-based authentication, supporting document retrieval, search, TOC navigation, and content management from knowledge bases via URL or namespace.

Provides access to ORD specification and concept explanations with tools to retrieve the specification and explain concepts.

Provides tools for accessing coding style guidelines and best practices for various technologies including Java, Python, and React.