mcp-agent-langchainjs vs time
Side-by-side comparison to help you pick between these two MCP servers.
mcp-agent-langchainjs by Azure-Samples | time by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 183 | ★ 85,748 |
| 30d uses | — | — |
| Score | 48 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsE-commerceDeveloper Tools | ProductivityDeveloper ToolsCommunication |
| Language | TypeScript | TypeScript |
| Last commit | 1 mo ago | this month |
mcp-agent-langchainjs · Summary
A burger ordering AI agent system using LangChain.js and MCP servers to interact with a restaurant API.
time · Summary
A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.
mcp-agent-langchainjs · Use cases
- AI-powered food ordering system through natural language conversation
- Demonstration of MCP tool calling for real-world applications
- Serverless architecture for scalable AI agents
time · Use cases
- Assisting with international meeting scheduling across time zones
- Providing real-time time information for location-based queries
- Enabling time conversion for travel planning and itineraries
mcp-agent-langchainjs · Install
Installation Steps
- **GitHub Codespaces (Recommended)**:
- Open the project in [GitHub Codespaces](https://codespaces.new/Azure-Samples/mcp-agent-langchainjs?hide_repo_select=true&ref=main&quickstart=true) for a preconfigured environment
- **Local Development**:
- Clone the repository: git clone <your-repo-url> - Install Node.js LTS - Install Azure Developer CLI 1.19+ - For local testing with Ollama: ``bash ollama pull qwen3:8b ` Create a .env file with: `env AZURE_OPENAI_API_ENDPOINT="http://localhost:11434/v1" AZURE_OPENAI_MODEL="qwen3:8b" AZURE_OPENAI_API_KEY="__not_used__" `` - Start the application following the README instructions
- **Deployment to Azure**:
- Run azd auth login - Run azd up to deploy all services
**Claude Desktop Configuration** (add to claude_desktop_config.json):
{
"mcpServers": {
"burger-mcp": {
"command": "node",
"args": ["packages/burger-mcp/dist/server.js"]
}
}
}time · Install
Installation Options
**Using uv (recommended):**
uvx mcp-server-time**Using PIP:**
pip install mcp-server-time
python -m mcp_server_time**Configure for Claude Desktop:**
{
"mcpServers": {
"time": {
"command": "uvx",
"args": ["mcp-server-time"]
}
}
}