mcp-agent-langchainjs vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
mcp-agent-langchainjs by Azure-Samples | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 183 | ★ 85,748 |
| 30d uses | — | — |
| Score | 48 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsE-commerceDeveloper Tools | File SystemDeveloper ToolsProductivity |
| 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.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
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
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
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"]
}
}
}filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.