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Configures comprehensive CI/CD pipelines to ensure code quality and system integration for the Midnight server project.
Enables local middleware for seamless communication between LLM-based tools on Windows OS.
Integrates real-time weather data into large language models and Model Context Protocol clients.
Provides a Model Context Protocol (MCP) server for checking domain availability using the Namecheap API.
Enables Large Language Models to interact with Kafka event streams using the Model Context Protocol.
Provides global weather information through natural language interaction by integrating the OpenWeather API and large language models.
Manages todo lists with YAML-based persistence, integrating with Model Context Protocol (MCP) clients for natural language interaction.
Connects Paylocity data to large language models and AI clients through a read-only Model Context Protocol (MCP) server, enabling natural language queries.
Implements a memory system for large language models, enabling conversational context persistence across multiple LLM providers.
Integrate Jira API functionalities for comprehensive issue management, project tracking, and workflow automation directly within your Model Context Protocol client.
Build and run polyglot Model Context Protocol (MCP) servers using WebAssembly for secure, high-performance AI agents.
Enhances the Claude.ai experience by enabling Multi-Contextual Processing (MCP) within the browser.
Provides a template for deploying a Model Context Protocol (MCP) server for joke delivery and integrating it with Microsoft Copilot Studio and GitHub Copilot.
Provides automated time and location information to AI models and applications by detecting system timezone and using IP-based geolocation.
Augments Claude with Python code execution, shell command capabilities, and file manipulation.
Provides comprehensive guides and tools for software testing and quality assurance, helping developers and QA engineers enhance software quality.
Demonstrates functionality of the GitHub MCP server through GitHub API integration and multilingual support.
Enables AI assistants to seamlessly interact with the Google Gemini CLI for extensive file and codebase analysis.
Enables Cursor to utilize a PostgreSQL database for storing model contexts.
Exposes a single tool via the OpenAI Model Context Protocol (MCP) using JSON-RPC 2.0 over HTTP.
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