"Collecting and Analyzing Server-Side Errors Based on MySQL, Redis, and Elasticsearch" matching MCP servers:

Lightweight MCP server for Redis that allows running any Redis command and searching Redis documentation. Supports multiple named databases with HTTP/REST or TCP transport.

Enables AI assistants to search and retrieve documentation, component specs, theme guides, and CLI commands for the Meta Astryx Design System, providing structured tools and guidelines for coding agents.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

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.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

Read-only MCP connector that serves the Run It on AI book. The index and Implementation Blocks are free; full chapters and playbooks unlock with a license key included with the book.

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.

Provides AI-enabled access to Amazon Business API documentation, sample code, and troubleshooting resources. Enables developers to search and retrieve API documentation, generate integration code, and get guided solutions for common errors during the API integration process.

Provides access to PortOne's official documentation (developer center, help center) and console features including channel management, payment history lookup, and sub-merchant queries through LLM integration with browser-based authentication.

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.

A CLI-based Model Context Protocol server that exposes PubNub SDK documentation and Functions resources to LLM-powered tools like Cursor IDE, enabling users to fetch documentation and interact with PubNub channels via natural language prompts.

A Python-based MCP server that enables users to interact with the esa.io API for documentation management. It provides tools for retrieving user information and performing full CRUD operations on articles.

A MCP server that allows you to search and retrieve content on any wiki site using MediaWiki with LLMs 🤖. wikipedia.org, fandom.com, wiki.gg and more sites using Mediawiki are supported!

Provides a standardized way to integrate Perplexity AI's features like chat, search, and documentation access into MCP-based systems.

Enables AI agents to manage Trac projects with full CRUD operations on tickets, wiki pages, and milestones via the Model Context Protocol.

This MCP server provides access to resources and prompts from GitHub repositories or the local filesystem, enabling teams to share coding standards, documentation, and reusable prompts with AI tools like Claude.

Provides real-time access to official LangChain documentation, API references, and GitHub code examples to assist in LangChain-based development. It enables LLMs to search for tutorials, version info, and detailed class specifications directly from live sources.

An MCP-based service that enables AI models to seamlessly interact with Feishu (Lark) platform, supporting document reading and chatbot messaging capabilities.

Enables running a personal, forkable MCP server that exposes your Markdown files as public read tools for other agents, and lets them leave you messages. It dynamically generates tools from your context files and supports optional discovery and notifications.