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Automates iPhone tasks, including app control, UI interactions, and screenshot capture, via a streamable HTTP server using Appium.
Demonstrates how to enhance ChatBot applications using Amazon Bedrock with the Model Context Protocol (MCP) to enable seamless integration with external systems and data sources.
Enables MCP clients to remember information about users across conversations, leveraging vector search for relevant memory retrieval.
Enables AI assistants to securely interact with Bitwarden password manager functionality for vault management and organization administration.
Enables natural language interaction with AutoCAD using large language models for drawing creation, modification, and analysis.
Integrates essential penetration testing tools into a unified natural language interface for security professionals.
Connects RStudio to Claude AI, enabling interactive coding sessions where Claude can execute R code and visualize results in real-time.
Enables AI agents to access and manage Raindrop.io bookmarks through the Model Context Protocol (MCP).
Serves Swagger/OpenAPI specifications through the Model Context Protocol.
Enables local web searching functionality within the ChatWise application.
Integrates web search and content extraction capabilities into an MCP environment.
Provides fine-grained control over Model Context Protocol (MCP) clients, servers, and tools.
Manipulates Xcode project files programmatically using the Model Context Protocol.
Provides Rust bindings for the txtai API, enabling semantic search, LLM orchestration, and language model workflows within Rust applications.
Integrates AI assistants with the xtquant quantitative trading platform via the Model Context Protocol (MCP), providing AI access to trading data and functionalities.
Deploys a custom remote Model Context Protocol (MCP) server to the cloud using Azure Functions with Python.
Provides examples and tutorials for building AI applications using the watsonx.ai Flows Engine.
Provides deep, semantic-level analysis of Swift codebases to AI models with compiler-grade accuracy, leveraging Apple's SourceKit-LSP.
Enables local video searching, tailoring, stitching, and playback using FFmpeg command-line via a convenient interface.
Facilitates communication between local Model Context Protocol (MCP) clients and remote WordPress MCP servers using REST API requests.
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