# ConversationalBot_AgenticAI_LangGraph_MCP

> ConversationalBot_AgenticAI_LangGraph_MCP — auk608-conversationalbot-agenticai-langgraph-mcp. Use this tool when you need to create a conversational interface that can understand and respond to user input, leveraging prebuilt LangGraph agents and MCP capabilities to streamline development and improve user experience. It solves problems such as building custom chatbots and virtual assistants, and accepts text-based input, generating human-like responses as output. Ideal for use cases where a user-friendly, interactive interface is required, such as customer support or language translation applications.

Canonical page: https://skillsregistry.net/skills/auk608-conversationalbot-agenticai-langgraph-mcp  
JSON: https://api.skillsregistry.net/v1/skills/auk608-conversationalbot-agenticai-langgraph-mcp

## Description

Streamlit based Conversational Bot using LangGraph Prebuilt Agents with MCP

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/AUK608/ConversationalBot_AgenticAI_LangGraph_MCP)

## 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": "auk608-conversationalbot-agenticai-langgraph-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/auk608-conversationalbot-agenticai-langgraph-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/auk608-conversationalbot-agenticai-langgraph-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt