"Detecting Patterns and Conformations in Trading Charts" matching MCP servers:

Provides access to self-contained, runnable implementation patterns across multiple programming languages via MCP tools for searching and retrieving documentation and code examples.

Exposes the Agentic Patterns Catalog as MCP resources and tools for AI coding agents to search, retrieve, and recommend patterns, recipes, frameworks, methodologies, and anti-patterns.

Exposes a small catalog of programming study topics through the Model Context Protocol (MCP) for local learning.

Enables interaction with Zhejiang University's learning platform (学在浙大 / 智云课堂) via MCP tools, allowing natural language commands to check todos, view schedules, fetch lecture transcripts, and submit homework.

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.

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

Enables vision LLMs to read PDFs by automatically detecting text corruption and switching between text extraction and image rendering modes, while preserving reading order and filtering unnecessary images to prevent token overflow.

MCP server providing embedded Lenis smooth scroll expertise to AI assistants, enabling setup generation, API reference, debugging, scroll patterns, and performance optimization without network requests.

A read-only MCP server that provides LLMs with introspection data and documentation for the Freqtrade codebase. It enables AI tools to access class signatures, method details, and configuration schemas to assist in writing more reliable trading strategies.

Provides enterprise architecture knowledge tools that ground agents in curated patterns, enabling translation of messy enterprise asks into realistic architecture recommendations, platform selection, risk checks, and brand context retrieval.

An accessibility expert MCP server that provides AI coding assistants with real-time access to WAI-ARIA patterns, code review, contrast checking, and WCAG guidance for writing accessible code from the start.

MCP server that enables searching and reading binary document files (PDF, DOCX, PPTX, XLSX, ODT, ODS, ODP, RTF, EPUB) using regex patterns and retrieving content by sections.

Exposes WAI-ARIA Authoring Practices Guide (APG) patterns, providing narratives, keyboard guidance, and official source code examples for accessible widgets. It includes tools for listing patterns, retrieving specific specs, and performing semantic searches via Ollama.

An MCP server designed for developers to build and manage Minestom-based Minecraft servers by inspecting project environments, build configurations, and API documentation. It enables users to plan features, review design patterns, and discover libraries within the Minestom ecosystem.

An MCP server that translates scientific PDF documents while preserving original formulas, charts, and layout. It utilizes an OpenAI-compatible backend to provide tools for document translation and language listing.

Distills Claude Code's 310K-line source into 32 queryable modules via MCP, enabling AI agents to learn and reuse Claude Code's architectural patterns through natural language.

A static, read-only MCP server that exposes a database knowledge base (schema, relationships, workflows, and reasoning patterns) so Claude Code / Copilot can reason about a database without a live connection.

Provides a read-only MCP interface to the Santismm Knowledge Platform, offering tools to retrieve curated content on engineering, AI patterns, architectures, governance, and agent taxonomy with structured output in English, Spanish, and Portuguese.

A local-first FastMCP server that indexes offline frontend catalogs (components, patterns, motion libraries) and exposes discover, search, compare, and recommend tools to AI agents via stdio.