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Integrates Jira with Cursor IDE via the Model Context Protocol (MCP) for seamless AI-powered interaction.
Provides a framework for various server tools across different domains.
Facilitates the creation of MCP servers using Node In Layers framework.
Generates a Multi-Agent Conversation Protocol (MCP) server from the Twilio Microvisor OpenAPI specification.
Automates Google Calendar tasks, including scheduling meetings via prompts and inspecting metadata, to build extensible agent-based workflows.
Exposes Express.js application endpoints as structured tools for AI models and clients.
Provides a boilerplate server for the Model Context Protocol, featuring TypeScript, DDD architecture, dynamic component loading, and example modules.
Provides a standardized Model Context Protocol (MCP) interface for accessing Repology package repository data.
Transforms unstructured resume text from JSON input into a structured JSON output using an AI model.
Provides AI agents with professional development guidelines, coding standards, and best practices for writing production-quality code.
Preserve and resume AI conversation context efficiently across sessions with minimal token overhead.
Analyze and visualize type dependencies in C# assemblies, providing insights into codebase structure and potential issues.
Provides the current date and time through an MCP server.
Empowers AI coding assistants with persistent memory and adaptive intelligence to learn from trade outcomes and refine trading strategies.
Orchestrates AI workflows and automates tasks with a flexible, open-source platform.
Empowers AI assistants with cryptographic control over compressed archives, enabling secure creation, extraction, verification, encryption, and signing.
Enables AI models like Claude Desktop to securely execute PowerShell commands on a local Windows machine.
Collects and returns a list of reference materials for a given CVE ID to aid in creating CVE guides.
Empower AI applications with robust RAG capabilities, including document indexing, semantic retrieval, reranking, and RAG prompt construction.
Integrates with the Todoist API to manage projects, tasks, comments, sections, labels, and user information via a Model Context Protocol (MCP) server.
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