# MCP-Chat-Agent

> MCP-Chat-Agent — keyur141-mcp-chat-agent. Use this tool when you need to implement Model Context Protocol (MCP) for conversational AI applications, solving problems related to context management and knowledge sharing between models. It takes in model inputs and outputs contextualized responses, providing a practical implementation of MCP. Use it in contexts where you require efficient and directed model context management, such as chatbots or virtual assistants.

Canonical page: https://skillsregistry.net/skills/keyur141-mcp-chat-agent  
JSON: https://api.skillsregistry.net/v1/skills/keyur141-mcp-chat-agent

## Description

The repo is the practical implementation of Model Context Protocol(MCP) which was helped and directed to made from the course of Anthropic's Introduction of MCP.

## Trust

- **Trust score (0–1):** 0.95
- **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/KEYUR141/MCP-Chat-Agent)

## 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": "keyur141-mcp-chat-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/keyur141-mcp-chat-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/keyur141-mcp-chat-agent/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