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Enables interaction with a Paperless-NGX API server through the Model Context Protocol (MCP).
Provides intelligent summarization capabilities for various content types using Google's Gemini 1.5 Pro model.
Connects Claude Desktop to a Zotero library on the cloud, enabling interaction with collections and sources.
Simplifies the addition of tools and plugins to Claude and other AI platforms.
Enables AI agents within Cursor to interact with and manipulate Jupyter Notebook files.
Connects GoHighLevel sub-account API endpoints with AI automation systems using the Model Context Protocol.
Provides an MCP server for integrating personal financial data from Monarch Money with Claude Desktop.
Enables R to function as both a server and client for the Model Context Protocol, allowing AI tools to interact with R sessions and R applications to access external contexts.
Automates intelligent strategy generation, real-time trading execution, and backtesting analysis for a modular quantitative trading system.
Facilitates seamless management of multiple SSH connections, remote command execution, and file transfers directly from Claude Code.
Empower Delphi applications with advanced AI capabilities, including Retrieval-Augmented Generation (RAG), autonomous agents, and a universal LLM connector.
Empowers AI coding assistants with persistent memory and learned coding patterns from your codebase.
Enables AI assistants to programmatically interact with Power BI models, facilitating tasks like reading model structure, running DAX queries, and managing measures through natural conversation.
Automates WeChat interactions on macOS, enabling retrieval of messages and sending replies programmatically.
Securely connects enterprise knowledge with AI assistants, IDEs, or agent platforms using the Model Context Protocol.
Transforms codebases into intelligent knowledge bases for AI-powered development, integrating with AI IDEs like Cursor and Google AntiGravity.
Enhance AI coding agents' efficiency by providing precise, local semantic search across large codebases, significantly reducing costs and latency.
Run AI agents locally to automate tasks across messaging platforms, code development, and content creation, keeping your data on your device.
Bridges the gap between running web applications and their source code for AI coding agents.
Enables AI clients like Claude to bidirectionally interact with Figma, generating UI and extracting design data.
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