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Sends SMS messages via the Twilio API using Model Context Protocol (MCP).
Provides advanced mathematical and financial calculation tools for AI code assistant integration.
Serves files and directories as a Model Context Protocol (MCP) server with Server-Sent Events (SSE) capabilities.
Converts LaTeX mathematical expressions into MathML format using a Model Context Protocol (MCP) server.
Provides a working implementation of a Model Context Protocol (MCP) Java SDK with a weather tool accessible via HTTP SSE.
Orchestrates multiple specialized Claude 3.7 Sonnet instances in a quantum-inspired swarm to produce optimally coherent responses.
Connects Dify applications to MCP Clients, dynamically exposing them as usable tools.
Provides a TypeScript starter for building Model Context Protocol (MCP) servers with resources, prompts, and tools.
Provides a basic Model Context Protocol (MCP) server, enabling DWScript applications to expose custom tools for AI assistant integration.
Facilitates structured thinking for AI assistants by breaking down complex problems into sequential, revisable thoughts.
Integrates VictoriaTraces with AI tools via the Model Context Protocol, providing programmatic access to trace data.
Provides intelligent analysis for code modernization, browser compatibility, and real-time MDN documentation queries for JavaScript/TypeScript projects.
Facilitates AI-driven analysis of Windows crash dumps by providing structured access to Microsoft debugging tools through the Model Context Protocol.
Provides a comprehensive suite of 22 Model Context Protocol servers designed to enhance developer productivity across the entire software development lifecycle.
Integrates IMAP email accounts with AI agents, allowing them to read, organize, and draft replies without sending or deleting messages.
Enables AI assistants to control Recaf 4.x for bytecode analysis, decompilation, and modification.
Analyzes TypeScript codebases to provide architectural insights, symbol-level impact analysis, and refactoring support.
Integrates large language models with the Kentik network observability platform to enable natural language interaction and data retrieval.
Provides persistent memory and project context to enhance AI coding agents' efficiency across development sessions.
Integrates TickTick task management and productivity features directly into large language models via a Model Context Protocol server.
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