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A curated list of Model Context Protocol (MCP) servers, frameworks, utilities, and clients, facilitating AI models' interaction with local and remote resources.
Provides a Model Context Protocol (MCP) server to access Nurbxfit blog articles.
Exposes mathematical tools and prompt templates for use by LLM agents.
Integrates Atlassian products like Jira, Confluence, and Bitbucket within the Cursor IDE.
Manage Kubernetes clusters and resources by connecting to the Model Context Protocol (MCP) server.
Provides a Model Context Protocol (MCP) server for the Recruitee API, enabling streamlined extraction of candidate profiles from recruitment pipelines.
Provides a FastMCP server for programmatic access to GitHub repositories and data.
Empowers AI coding assistants with robust memory management, file approval tracking, and automatic code discoverability through intelligent folder mapping.
Provides an AI image generation service utilizing the Model Context Protocol (MCP) to offer high-quality image creation and multi-turn conversational fine-tuning with models like Google Gemini 2.5 Flash Image.
Integrates Browserbase's headless browser capabilities with large language models (LLMs) via the Model Context Protocol (MCP).
Automates Subversion (SVN) repository operations, exposing them as tools for agent-driven workflows and seamless version control integration.
Connects Elasticsearch instances to Model Context Protocol (MCP) clients for natural language interaction with data.
Performs comprehensive code quality and security analysis for Python backend development, delivering consistent and actionable reporting.
Provides an API for secure read-only interaction with Oracle NetSuite sandbox environments, executing SuiteQL queries and retrieving customer records.
Provides tools to access the Swedish National Archives through various APIs.
Provides a lightweight framework and tooling system for building and running Model Context Protocol servers and inspectors.
Exposes project `package.json` scripts as callable tools for AI agents via a Model Context Protocol server.
Provides URL text fetching, web scraping, and web search capabilities for AI models via the Model Context Protocol.
Enables AI assistants to programmatically generate professional, animated, YouTube-optimized videos using a design-system-first approach with Remotion.
Provides AI-powered tools to streamline software development workflows and enhance code quality.
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