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Classifies message complexity to automatically select the appropriate Claude effort level (fast, think, ultrathink) for efficient reasoning.

Enables AI video generation and editing, including text-to-video, image-to-video, reference-to-video, and video editing through the Ace Data Cloud API.

Read-only diagnostic MCP server that exposes system stats, Docker status, OOM events, container logs, Sidekiq queues, and local Chatwoot health checks for Claude to review a Hetzner server.

MCP server for StackExchange — search questions and answers from Stack Overflow

This MCP implementation, developed using Python 3.12, provides a code analysis tool with HTTP capabilities. It integrates with external services via the httpx library and leverages the MCP CLI for enhanced functionality. The implementation focuses on analyzing code repositories, likely using pathspec for file pattern matching. By combining code analysis with MCP's standardized interface, it enables AI-assisted code review, static analysis, and potentially automated refactoring suggestions. This tool is particularly suited for development teams looking to integrate AI-powered code analysis into their workflows, improving code quality and consistency across projects.

Enables interaction with PostHog analytics platform, allowing users to list projects, create annotations, and search insights through natural language in Claude Desktop.

Provides search capabilities across OpenSearch's official documentation, blog posts, and community forum through three dedicated tools. Built using Python and the FastMCP framework, it integrates with OpenSearch's public search APIs to query technical documentation, find relevant blog content, and search forum discussions with pagination support. The implementation includes LRU caching for performance optimization and handles different content types appropriately, making it useful for developers who need assistance with OpenSearch-related questions, troubleshooting, or staying updated with the latest features and community discussions.

Enables AI assistants to query SQLite databases using plain language, with strict read-only enforcement and column-level access control to prevent damage or unauthorized data reads.

Enables access to YouTube data including channel videos, live streams, shorts, video details, transcripts, screenshots, and related content through the Yt API with support for localization and pagination.

A modular MCP server for code analysis using ast-grep, enabling structural pattern matching and transformations across multiple languages.

Enables interaction with Postiz for social media scheduling, content management, and analytics through MCP-compatible clients, with write and delete operations gated by environment variables.

Memory provides a persistent long-term memory system for AI coding agents deployed on Cloudflare Workers. The server exposes 7 tools including memory_save and memory_search, supports streamable HTTP and stdio transports, and uses OAuth 2.1 for authentication. TypeScript implementation designed for AI agent use cases.

Exposes 26 structured analytical tools over Climate Finance Update datasets, enabling fund-level financial analysis, portfolio aggregations, and data quality diagnostics without requiring the client to write data access code.

MCP server for Publer social media management API, enabling AI assistants to schedule posts, upload media, pull analytics, and manage accounts across 15+ social networks.

A comprehensive Model Context Protocol server for Alpaca's Trading API that enables natural language trading operations through AI assistants, supporting stocks, options, crypto, portfolio management, and real-time market data.

Facilitates integration with the Cursor code editor by enabling real-time code indexing, analysis, and bi-directional communication with Claude, supporting concurrent sessions and automatic reconnection.

An MCP server that provides 33 tools for full DEVONthink integration, enabling users to search, manage records, and access smart groups through Claude Code. It supports document CRUD operations, metadata management, and utilizes DEVONthink's built-in AI for document summarization and classification.

MCP server that converts file contents into compact, line-numbered PNG images for vision models to read, reducing token usage by roughly 7x for large files.

A lightweight remote MCP server for generating images using OpenAI's image models, exposing a generate_image tool.

This Linear MCP server, developed by Iwark, provides a standardized interface for interacting with the Linear issue tracking system. Built with Node.js and leveraging the Linear SDK, it offers tools for creating and searching issues, as well as reading various Linear resources. The implementation focuses on efficient query parsing, rate limiting, and error handling, enabling AI models to manage projects and issues effectively. By connecting AI assistants with Linear's project management capabilities, this server facilitates sophisticated task management scenarios, enhancing the ability to create, track, and analyze issues programmatically. It's particularly useful for teams seeking to integrate AI-powered project management into their Linear workflows.