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Builds scalable agentic servers from numerous dependent Model-Context-Protocol (MCP) components.
Empowers AI assistants with specialized tools and knowledge for Arm architecture development, migration, and optimization.
Provides a Model Context Protocol (MCP) server that enables AI assistants to interact with Fastmail's email, contacts, and calendar data.
Automates and optimizes iOS development tasks within Claude Code through modular, context-aware plugin servers.
Enables AI assistants within Cursor IDE to manage n8n workflows through the n8n REST API.
Securely manages credentials for MCP servers by leveraging system-native keychain storage across macOS, Windows, and Linux.
Extends AI capabilities through remote control, calculations, email operations, and knowledge search by exposing tools to language models.
Enables AI assistants to initiate and manage voice calls using Twilio and OpenAI.
Exposes Clojure REPL functionality over an SSE transport using the Model-Channel Protocol.
Decomposes complex problems into independent atomic units of thought, enabling robust reasoning and validated insights.
Exposes GDB debugging capabilities via the MCP protocol for remote application debugging.
Provides practical examples and theoretical concepts for developing LLM-powered agents and multi-agent systems using tools like Google ADK.
Integrates Azure DevOps with the Model Context Protocol (MCP) server, providing access to work items, repositories, projects, boards, and sprints.
Enables secure and structured interaction with Microsoft SQL Server (MSSQL) databases for AI assistants.
Provides a complete walkthrough for building a server to serve a trained Random Forest model and integrating it with Bee Framework for ReAct interactivity.
Provides ripgrep search capabilities to Model Context Protocol (MCP) clients.
Integrates Flowise chatflows and assistants into the Model Context Protocol (MCP) ecosystem, enabling dynamic tool registration and simplified configurations.
Bridges Grasshopper and Claude Desktop for natural language control of parametric design.
Enables human-in-the-loop workflows in tools like Cline and Cursor by providing a simple MCP server.
Enables AI users to execute MATLAB code, generate scripts from natural language, and access documentation directly within conversations.
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