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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.
Build and manage agent workflows with a clean-architecture LangGraph MCP server.
Provides extensible MCP access to LangGraph documentation and resources.
Build a NestJS backend with MCP, RAG, and semantic search fast.
Extend AI agents with custom tools, APIs, search, content creation, and GitHub access.
Turn a FastAPI shopping list app into an MCP service for chatbots.