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Enables natural language agents and clients to perform SQL queries and interact with PostgreSQL databases securely in a read-only fashion.
Scrapes webpages and converts them to markdown, leveraging AI to handle interactive elements automatically.
Provides project code and learning notes for collaborative study of the MCP Minimalist Development course.
Implements the Model Context Protocol (MCP) in Go, facilitating seamless integration between LLM applications and external resources.
Enables AI models to access and manipulate note data within the SiYuan Note system.
Enables Claude and Gemini CLI to interact with Hummingbot for automated cryptocurrency trading across multiple exchanges.
Provides advanced image analysis capabilities like captioning, visual question answering, and object detection via the Model Context Protocol (MCP).
Provides API functionality for operating on Excalidraw drawings.
Integrates AI assistants like Claude and GitHub Copilot with 1C:EDT workspaces, enabling enhanced code generation and analysis capabilities.
Manages memory banks, enabling AI assistants to store and retrieve information across sessions for maintaining context.
Edits videos using natural language commands by leveraging FFmpeg.
Exposes Buildkite pipeline, build, and job information to tools like Claude Desktop and GitHub Copilot.
Proxies multiple Model Context Protocol (MCP) servers, grouping tool collections and loading schemas on-demand to optimize LLM context usage.
Enables Python script execution within a running Abaqus/CAE GUI and retrieves messages from its log area via MCP tools.
Provides an MCP server for Langfuse, enabling AI agents to query trace data for debugging and observability.
Facilitates seamless integration of VideoDB context with LLMs and AI agents by automating SDK version synchronization, documentation updates, and example generation.
Captures user intentions and behavior patterns to provide analytics for server owners.
Provides a production-ready template for building Model Context Protocol (MCP) servers with TypeScript.
Enables LLM agents to control a local Chrome browser instance programmatically via the Chrome DevTools Protocol (CDP).
Enables Large Language Models to explore and understand OpenAPI specifications through specialized tools.
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