fullstack-langgraph-nextjs-agent — MCP Server by agentailor

by agentailor · MCP Server · ★ 95

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About fullstack-langgraph-nextjs-agent

Production-ready Next.js template for building AI agents with LangGraph.js. Features MCP integration for dynamic tool loading, human-in-the-loop tool approval, persistent conversation memory with PostgreSQL, and real-time streaming responses. Built with TypeScript, React, Prisma, and Tailwind CSS.

agent-frameworkai-agentlangchainlangfuselanggraphllmmcpmodel-context-protocolnextjsopen-telemetry

Quick Facts

Stars95
Forks28
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score38.75/100
Open Issues1
Last Updated2026-04-12
Created2025-09-28
Platformsmcp, node
Est. Tokens~379k

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Frequently Asked Questions

What is fullstack-langgraph-nextjs-agent?

fullstack-langgraph-nextjs-agent is Production-ready Next.js template for building AI agents with LangGraph.js. Features MCP integration for dynamic tool loading, human-in-the-loop tool approval, persistent conversation memory with Po. It is categorized as a MCP Server with 95 GitHub stars.

What programming language is fullstack-langgraph-nextjs-agent written in?

fullstack-langgraph-nextjs-agent is primarily written in TypeScript. It covers topics such as agent-framework, ai-agent, langchain.

How do I install or use fullstack-langgraph-nextjs-agent?

You can find installation instructions and usage details in the fullstack-langgraph-nextjs-agent GitHub repository at github.com/agentailor/fullstack-langgraph-nextjs-agent. The project has 95 stars and 28 forks, indicating an active community.

What license does fullstack-langgraph-nextjs-agent use?

fullstack-langgraph-nextjs-agent is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to fullstack-langgraph-nextjs-agent?

The top alternatives to fullstack-langgraph-nextjs-agent on Agent Skills Hub include oreilly-ai-agents, cordum, CyberClaw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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