# AgentTasker MCP Server

> Use this tool when you need to execute multiple tasks concurrently or with dependencies, and receive structured results in a single output. It solves problems of task management and synchronization for AI agents, allowing them to run Python code, HTTP requests, and shell commands in parallel. The AgentTasker MCP Server takes in task requests via stdio and returns results in a single, organized call.

Canonical page: https://skillsregistry.net/skills/s3brr-agent-tasker-mcp  
JSON: https://api.skillsregistry.net/v1/skills/s3brr-agent-tasker-mcp

## Description

A lightweight stdio-only MCP server that allows AI agents to run multiple tasks (e.g., Python code, HTTP requests, shell commands) in parallel or with dependencies, returning structured results in a single call.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qhsoykk9gn)
- **Repository:** <https://github.com/S3bRR/agent-tasker-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": "s3brr-agent-tasker-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/s3brr-agent-tasker-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/s3brr-agent-tasker-mcp/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