# MCP Chat

> Use this tool when you need to engage in interactive conversations with AI models, retrieve specific documents, or issue command-based prompts. It solves problems related to information retrieval, language understanding, and task automation through conversational interfaces. The MCP Chat tool accepts text-based inputs and provides relevant outputs, making it ideal for use cases that require human-like dialogue with AI systems.

Canonical page: https://skillsregistry.net/skills/inissaka-intro-to-mcp  
JSON: https://api.skillsregistry.net/v1/skills/inissaka-intro-to-mcp

## Description

Enables interactive chat with AI models through the Anthropic API, supporting document retrieval and command-based prompts.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ffi2xqaauz)
- **Repository:** <https://github.com/inissaka/Intro-to-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": "inissaka-intro-to-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/inissaka-intro-to-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/inissaka-intro-to-mcp/pull`

---
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