104 boosters for "ai-agent" — open source, verified from GitHub, ready to install
BiliStalkerMCP enables developers to integrate Bilibili creator tracking into Claude applications, providing real-time access to videos, dynamics, and user data for content monitoring and analysis.
Node Code Sandbox MCP enables AI agents and LLMs to safely execute JavaScript code, install npm packages, and test implementations in real-time. Developers building coding assistants, automated testing tools, and interactive AI applications benefit from this secure, MCP-compliant execution environment.
This MCP Server enables Claude to manage Argo Workflows directly through the Argo Server API, allowing DevOps engineers and platform teams to orchestrate and monitor Kubernetes workflows via AI agents. It bridges AI capabilities with enterprise workflow automation, making it valuable for teams running Argo on Kubernetes.
A structured interview framework for evaluating remote monitoring center operators, featuring 7+ questions across attention, incident handling, and protocol adherence. Useful for HR teams and security operations managers conducting candidate interviews.
An MCP server that integrates Claude with Lu.ma's event management API, enabling AI agents to programmatically create, manage, and query events and guest information. Useful for developers building event automation workflows and AI assistants that need event management capabilities.
Libdocs MCP is a multi-agent documentation lookup and web research server that helps developers quickly find relevant information across repositories and the web. It benefits AI engineers and developers building on Claude who need intelligent context retrieval for complex codebases.
An MCP server that enables AI agents to join Google Meet calls, participate in conversations through speech and text, and transcribe audio in real-time. Useful for developers building autonomous meeting assistants, note-taking bots, and AI-powered communication tools.
Agent Flow Navigator is an MCP server that enables AI agents to traverse and execute complex graph-based workflows and state machines. It's useful for developers building multi-step agentic systems that require structured flow control and orchestration.
