# langgraph-ai

> langgraph-ai — piyushagni5-langgraph-ai. Use this tool when you need to implement advanced AI workflows, develop Model Context Protocol (MCP) systems, or work with Agentic RAG systems. It provides a comprehensive collection of LangGraph implementations, tutorials, and practical AI application patterns, accepting git inputs and producing actionable AI workflows as output. Ideal for use cases requiring complex AI system development and integration.

Canonical page: https://skillsregistry.net/skills/piyushagni5-langgraph-ai  
JSON: https://api.skillsregistry.net/v1/skills/piyushagni5-langgraph-ai

## Description

A comprehensive collection of LangGraph implementations, tutorials, and advanced AI workflows covering Agentic RAG systems, MCP (Model Context Protocol) development, and practical AI application patterns.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/piyushagni5/langgraph-ai)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "piyushagni5-langgraph-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/piyushagni5-langgraph-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/piyushagni5-langgraph-ai/pull`

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