MCP Server Directory

Provides AI assistants with tools to grade, generate, and validate UI components against the components.build specification. Supports searching documentation, checking compliance, and generating framework-agnostic accessible components.

Enables AI assistants to fetch README content, package metadata, dependencies, and search Composer/PHP packages from Packagist with smart caching and GitHub integration.

Comprehensive MCP server for YNAB with 18 AI-powered tools for budget management, automation, and analytics

MCP server for compressing images with Tinify

A concurrent browser MCP server that supports multiple parallel browser instances

Official ConfigCat MCP — feature flag and configuration management

Create Confluence pages and manage wiki content

Official Confluent MCP — Kafka topic management, connectors, Flink SQL, and schema registry operations

MCP server for AI-assisted Glean connector development

Captures and stores console output from any process in SQLite with full-text search, enabling AI assistants to search logs, monitor errors, and analyze multi-process activity through natural language queries.

Standalone MCP server for Construct Shader Graph

Enables AI assistants to manage Docker containers, execute commands inside them, and inspect container information through a minimalist set of tools supporting both stdio and HTTP transports.

MCP server for ContentAPI - Extract content from YouTube, web pages, Twitter/X, and Reddit for RAG and AI applications

Official Contentful MCP — manage content types, entries, assets, and spaces via the Contentful Management API

A local-first, agent-agnostic MCP server that provides semantic search, persistent memory, and automated code review capabilities for development workflows. It leverages the Auggie SDK to offer advanced tools for codebase indexing, implementation planning, and deterministic static analysis.

An MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programming languages and authenticated CLIs.

An open-source memory layer that provides persistent project context and architectural history for AI development tools across multiple platforms and sessions. It enables AI assistants to maintain a shared understanding of codebases while integrating directly with services like Notion for documentation management.

Context+ is a semantic intelligence server that transforms codebases into searchable, hierarchical feature graphs using RAG, Tree-sitter AST, and spectral clustering. It provides tools for deep code discovery, blast radius analysis, and memory graph management for high-accuracy engineering tasks.

MCP server for Context Forge — generates structured AI context prompts from project configuration and templates

Up-to-date documentation context for any coding prompt

MCP server for Context7