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Build MCP agent workflows with NestJS, LangGraph, and flexible model orchestration.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "nestjs-langgraph-mcp" yet — see the docs or source repo.
Explain how to start a stdio-based MCP server locally with nestjs-langgraph-mcp and configure an OpenAI model. Include installation steps, environment variables, startup commands, and a minimal example.
A local setup guide with dependency installation, configuration steps, run commands, and minimal sample code.
I want to switch the current agent workflow from OpenAI to Ollama. Provide the configuration changes for nestjs-langgraph-mcp and explain key considerations for connecting to a local model.
A model migration guide covering config changes, connection parameters, and common pitfalls.
Using nestjs-langgraph-mcp, design an agent workflow that receives a user query, calls external tools for results, and then returns a final summary. Provide node design, flow description, and pseudocode.
A clear agent orchestration plan describing node responsibilities, execution order, and implementation approach.
Securely connect LLM agents to downstream microservices through FastAPI MCP tools.
Provides extensible MCP access to LangGraph documentation and resources.
Build a NestJS backend with MCP, RAG, and semantic search fast.
Build, debug, and manage software tasks with natural language across LLMs.
Turn a FastAPI shopping list app into an MCP service for chatbots.
Enable AI code navigation and editing across languages through LSP-backed tools.