This repository is a full-featured LangGraph.js + Next.js agent template whose value is acting as an MCP client host that dynamically connects to external tool servers, rather than being an MCP server that can itself be added to a client. No server manifest or self-exposed tool list is provided in the README, so tools and transport fields are left empty; this assessment is based solely on the public documentation and described functionality.
This is an open-source Next.js full-stack template (agentailor/fullstack-langgraph-nextjs-agent) for building AI agents on LangGraph.js. It is not itself an MCP server exposing tools — it is an MCP client/host application: users can add stdio or HTTP MCP servers (e.g. the official filesystem server) through its settings UI, and the app loads, prefixes, and invokes those external tools on the agent's behalf. It also provides human-in-the-loop tool call approval, PostgreSQL-backed persistent conversation memory, S3/MinIO multimodal file uploads, real-time SSE streaming, and optional Langfuse observability. Built with TypeScript, React 19, Next.js, Prisma, and Tailwind CSS, licensed under MIT, and maintained by an individual developer (agentailor/IBJunior) — not an official LangChain or MCP protocol project.
git clone the repository and run pnpm install. 2. Copy .env.example to .env.local and set DATABASE_URL plus at least one model provider API key (OpenAI/Google/Anthropic). 3. Run docker compose up -d to start PostgreSQL and MinIO. 4. Run pnpm prisma:generate and pnpm prisma:migrate to set up the database. 5. Run pnpm dev and open http://localhost:3000. 6. To connect external tools, use 'Add MCP Server' in the settings UI to configure a stdio command or an HTTP MCP server URL.