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mcp-agent-langchainjs
Serverless AI agent using LangChain.js and Model Context Protocol (MCP) integration to order burgers from a burger restaurant
186stars
93forks
TypeScript
agentaiapiazdazd-templatesazuree2ejavascriptlangchain-jsmcpmicroservicesmodel-context-protocol
Quality signals
StaleNo testsNo CIThin docsNo licensePopular
AI summary
Auto-generated overview of what this skill does and when to reach for it.
Serverless AI agent that lets LLMs order burgers via LangChain.js and Model Context Protocol integration.
Use this when
- Need an AI agent to handle real-world API interactions
- Want to test MCP tool integration locally or in Azure
- Building serverless AI agents with LangChain.js
- Prototyping AI-driven ordering systems
- Debugging MCP server tool calls
Don't use when
- Building a non-AI or non-agent system
- Need a simple REST API without AI features
- Working with non-burger APIs (unless adapting the MCP server)
Capabilities
- Exposes burger API as MCP tools for AI agents
- LangChain.js agent with tool calling via Streamable HTTP
- Serverless architecture on Azure Static Web Apps & Functions
- Multi-service setup with web UI, API, and MCP server
- User authentication with session history tracking
- Supports local dev with Ollama or other MCP clients
InstallMCPRun via npx (Node)
Universal installANY TOOL
$ npx skillcity@latest Azure-Samples/mcp-agent-langchainjsAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
npx -y mcp-agent-langchainjs
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"mcp-agent-langchainjs": {
"command": "npx",
"args": [
"-y",
"mcp-agent-langchainjs"
]
}
}
}Loading README…
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