# MCP Chat

> MCP Chat — gfalbarracinr-cli-project. Use this tool when you need to interact with AI models through conversational chat, leveraging document retrieval and command-based prompts to retrieve information or generate text. It solves problems related to information retrieval, text generation, and conversational AI interactions. The tool accepts natural language inputs and returns relevant responses or retrieved documents via the Anthropic API.

Canonical page: https://skillsregistry.net/skills/gfalbarracinr-cli-project  
JSON: https://api.skillsregistry.net/v1/skills/gfalbarracinr-cli-project

## Description

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

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qlkakpdzrs)
- **Repository:** <https://github.com/gfalbarracinr/cli_project>

## 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": "gfalbarracinr-cli-project"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gfalbarracinr-cli-project` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gfalbarracinr-cli-project/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