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Enables querying and managing data within Azure Table Storage directly through Cline.
Provides a Model Context Protocol (MCP) server for interacting with Postgres databases and automating database operations.
Identifies and fixes common SEO issues and validates structured data schemas directly within your code editor.
Connects to Microsoft SQL Server databases and executes SQL queries.
Provides a TypeScript-based playground for experimenting with and extending an Model Context Protocol server.
Enables AI assistants to interact with MySQL databases through a secure, controlled interface.
Demonstrates the use of a Model Context Protocol (MCP) server with various agent frameworks like Google ADK, LangGraph, OpenAI Agents, and Pydantic-AI.
Manages machine learning model provenance and lineage using a Python-based service.
Manage and track goals with hierarchical tasks within an MCP environment.
Analyzes Solidity smart contracts by extracting and detailing function contexts for comprehensive understanding.
Automates video creation by enabling LLM clients to interact with the Plainly Videos API through the Model Context Protocol.
Enables AI-powered image generation and transformation for MCP clients using Google Gemini's nano banana model.
Integrates with codebases to build knowledge graphs, analyze project impact, and automate developer workflows.
Access live and historical NBA data, including player statistics, game scores, and team information, via a Model Context Protocol server.
Connects AI clients to the Masumi Network for decentralized agent discovery, hiring, monitoring, and payment.
Stores AI conversation sessions as markdown files directly within your project, facilitating the tracking of development decisions and AI interactions.
Empowers AI agents to control Blender and automate complex 3D workflows through a comprehensive API.
Facilitates RAG-powered semantic search across technical documentation PDFs leveraging Ollama.
Provides tools for querying, searching, and validating OpenStreetMap tags and exploring presets using the official `id-tagging-schema` library.
Enables AI assistants to manage Dynadot domains, DNS, transfers, and contacts using natural language commands.
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