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Enables AI agents to access and analyze Sentry error data through a Modern Context Protocol (MCP) server.
Enables chatting with Mistral AI using text or text and image inputs via the Model Context Protocol.
Enables AI models to perform semantic searches for Star Wars planets using Couchbase's vector search.
Manages various types of sources and integrates them with knowledge graphs for enhanced research and learning.
Provides a collection of Model Context Protocol (MCP) tools for analyzing crypto market data and Vietnam stock market data.
Enables Large Language Models (LLMs) to find Agoda hotel reviews.
Develop Model Context Protocol (MCP) servers for AI platforms using Scala 3 and ZIO.
Integrates APIs, advanced AI, and intelligent automation to enhance server and client-side functionality.
Implements a simple notes system, demonstrating core MCP concepts through resources and tools for managing text notes.
Analyzes job URLs to extract detailed company information, enriching data through intelligent web crawling and external providers.
Integrates Planka Kanban boards with MCP applications, enabling comprehensive management of projects, boards, cards, tasks, and collaboration.
Streamlines software development projects by providing structured workflow tools across various complexity levels and phases.
Enables a Model Context Protocol (MCP) client to interact with Saleor e-commerce data including products, orders, and customers.
Empowers AI agents with long-term memory and evolving personalities through a mathematically precise framework for behavioral inheritance.
Generates and edits images with Google Gemini AI, offering diverse aspect ratios, context image guidance, and watermark capabilities.
Integrates AI assistants with Monica CRM, enabling comprehensive management of contacts, activities, and tasks.
Integrates Zebrunner Test Case Management with AI assistants to empower QA teams with test case, suite, and execution data management.
Enables seamless sharing and management of personal data across various AI tools through a unified Model Context Protocol server.
Build autonomous AI agents for local LLM inference, memory handling, and voice interaction, automating various tasks without relying on external APIs.
Provides programmatic access to Next Generation Science Standards (NGSS) for middle school education, featuring fuzzy matching and comprehensive search capabilities.
Exposes Django project information through the Model Context Protocol (MCP) to enable AI assistants to better understand and interact with Django codebases.
Extends AI development tools with advanced task/project management and persistent context capabilities for complex projects.
Enhance macOS logging for iOS development with real-time streaming, AI integration, and multi-lane organization for clearer debugging.
Provides a secure and structured interface for managing VMware vCenter 8.0+ operations.
Enables AI assistants to perform Swift code audits and detect unused code in iOS/macOS projects.
Provides an agent-friendly API for managing and orchestrating AFL++ fuzzing campaigns and security testing workflows.
Integrates ReClass.NET with Claude Code, enabling AI-assisted memory analysis and reverse engineering of live processes.
Provides an all-in-one Docker image for the QuantConnect Lean algorithmic trading engine, offering GPU support, a modern Web UI, REST API, and Model Context Protocol (MCP) integration.
Provides programmable access to Zabbix monitoring data and management features for automation, integrations, and AI-assisted workflows.
Manages Claude Code agent spawning to prevent excessive token usage and orchestrates multiple AI agent sessions for collaborative development.
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