# MCP Chat Server

> Use this tool when you need to interact with AI models through a chat interface, enabling document retrieval and integration with various command-based tools. It solves problems such as limited AI model interaction and lack of tool integrations, providing a flexible and extensible platform. The MCP Chat Server accepts text inputs and returns relevant responses and documents, ideal for use cases requiring dynamic AI-driven conversations and data retrieval.

Canonical page: https://skillsregistry.net/skills/guilhermetavares13-cli-project  
JSON: https://api.skillsregistry.net/v1/skills/guilhermetavares13-cli-project

## Description

Enables interactive chat with AI models via Anthropic API, supporting document retrieval and extensible command-based tool integrations.

## 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/qwe2mxhqkt)
- **Repository:** <https://github.com/GuilhermeTavares13/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": "guilhermetavares13-cli-project"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/guilhermetavares13-cli-project` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/guilhermetavares13-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