# MCP Chat

> MCP Chat — sdias14-mcp-server-training-linkedin-learning. Use this tool when you need to engage in interactive AI conversations, retrieve documents, or execute commands through a command-line interface. It solves problems such as accessing information, generating text, and interacting with servers through a unified chat platform. The MCP Chat tool takes in text-based prompts and outputs relevant responses, documents, or command execution results, making it ideal for use cases that require extensible server interactions and AI-driven conversations.

Canonical page: https://skillsregistry.net/skills/sdias14-mcp-server-training-linkedin-learning  
JSON: https://api.skillsregistry.net/v1/skills/sdias14-mcp-server-training-linkedin-learning

## Description

A CLI chat application that enables interactive AI conversations with document retrieval and command-based prompts through the Google Gemini API, integrating MCP tooling for extensible server interactions.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t3yxj1b0fd)
- **Repository:** <https://github.com/SDias14/mcp-server-training-linkedin-learning>

## 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": "sdias14-mcp-server-training-linkedin-learning"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sdias14-mcp-server-training-linkedin-learning` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sdias14-mcp-server-training-linkedin-learning/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