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Expose Twilio's APIs to AI assistants and tools supporting the Model Context Protocol. Enable seamless integration of Twilio's communication capabilities into AI workflows. Simplify access to Twilio services through a standardized protocol interface.

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Build AI agents with social cognition and theory-of-mind capabilities to create personalized LLM-powered applications. Leverage comprehensive models of user psychology over time to enhance interactions and insights. Easily integrate multi-participant sessions and asynchronous reasoning for advanced AI behavior modeling.

This server powers an AI-driven agricultural assistant built with FastAPI. It enables farmers and agricultural users to interact in their native languages, get intelligent responses from OpenAI’s GPT models, and receive both text and voice feedback. The system automatically detects language, translates queries, generates context-aware AI answers, and converts the replies into speech for accessibility.

MCP server for discovering and controlling TP-Link Tapo smart home devices via AI Agents

Analyzes C++ source code to build and explore comprehensive internal dependency graphs. Maps function relationships to identify upstream callers, downstream callees, and circular dependencies. Improves software maintenance by identifying orphan functions and simplifying complex logic flows.

Lightweight ClickUp MCP server - 35 tools, token-optimized (95% smaller responses)

Simple Tavily Search MCP Server This is a simplified version of the Tavily search server for Smithery.

BrowseCraft MCP Server for Claude Desktop

MCP server that exposes Pionex REST APIs as tools.

Lightweight WordPress MCP server - 42 tools, token-optimized (95% smaller responses)

NestJS-based MCP Server with metadata scanning support