# agentic-mcp-client

> agentic-mcp-client — peakmojo-agentic-mcp-client. Use this tool when you need to run autonomous AI agents in cloud environments, enabling secure interactions with various systems via MCP tools and APIs from Anthropic Claude, AWS BedRock, and OpenAI. It solves problems of autonomous task execution and secure system interaction, accepting inputs from git and outputting task results. Ideal for use cases requiring autonomous AI agent deployment and management in cloud settings.

Canonical page: https://skillsregistry.net/skills/peakmojo-agentic-mcp-client  
JSON: https://api.skillsregistry.net/v1/skills/peakmojo-agentic-mcp-client

## Description

A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments and interact with various systems securely.

## Trust

- **Trust score (0–1):** 0.36
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/peakmojo/agentic-mcp-client)

## 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": "peakmojo-agentic-mcp-client"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/peakmojo-agentic-mcp-client` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/peakmojo-agentic-mcp-client/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