# askr

> Use this tool when you need to asynchronously process multiple questions and answers in parallel, leveraging OpenAI-compatible APIs for efficient AI client interactions. It solves problems related to streaming, chain-of-thought detection, and session persistence, providing a dedicated management panel for configuration. Ideal for use cases requiring simultaneous Q&A processing with flexible interface options.

Canonical page: https://skillsregistry.net/skills/sweatent-askr  
JSON: https://api.skillsregistry.net/v1/skills/sweatent-askr

## Description

An MCP assistant that provides asynchronous and parallel Q\&A capabilities for AI clients using OpenAI-compatible APIs. It supports streaming, chain-of-thought detection, and local session persistence with a dedicated management panel for configuration.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uvz8a5gy16)
- **Repository:** <https://github.com/Sweatent/askr>

## 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": "sweatent-askr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sweatent-askr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sweatent-askr/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