Sweatent

Sweatent / askr

Public

MCP Q&A Assistant - Async Q&A capabilities for AI clients via MCP protocol

13
2
100% credibility
Found Mar 25, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

askr is an assistant that lets AI coding tools like Claude connect to any OpenAI-compatible service for asynchronous question-answering with tools for single or parallel queries, session tracking, and a user-friendly management panel.

How It Works

1
🔍 Discover askr

You stumble upon this helpful sidekick on GitHub that lets your AI coding friend ask deep questions to another smart AI in the background.

2
⚙️ Open the friendly setup

You launch a simple menu to pick your language and connect your chosen AI thinking service.

3
🔗 Link your AI service

You enter the web address and private pass for your AI service, then choose a brainy model—it tests everything automatically to make sure it works.

4
▶️ Start the background helper

With one easy go, you turn on the helper that runs quietly, ready for your AI friend to use.

5
Connect to your AI app
🖥️
Desktop version

Paste a tiny setup snippet into your app's settings file.

💻
Code version

Run a quick command or tweak the settings menu.

🔧
Other tools

Follow your app's guide to link the background helper.

6
💭 Ask smart questions

Now your AI buddy can send single questions or bunches at once, getting answers with step-by-step thinking, all saved for later.

7
📋 Check and manage

Peek at ongoing chats, view full histories, or close ones from the handy panel—changes happen live without restarting.

🎉 Supercharged coding

Your AI friend now researches accurately and quickly, making your projects smoother and more reliable every time.

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AI-Generated Review

What is askr?

Askr is a JavaScript-based MCP server that lets AI clients like Claude Desktop, Cursor, or mcp github copilot vscode fire off async questions to any OpenAI-compatible API. Run it via npx @sweatent/askr to expose tools for single queries, parallel batches with agentq, session lists, and result checks with full chain-of-thought. It solves the pain of AI agents needing real-time research on APIs, GitHub issues, or fresh docs without blocking the main workflow.

Why is it gaining traction?

Unlike basic mcp amazon q cli wrappers, askr handles streaming with auto-fallback, persists sessions for later checks, and offers a management panel for config tweaks like max concurrency or system prompts—changes hot-reload without restarts. Bilingual UI and easy stdio setup for claude mcp amazon q vscode or mcp github copilot intellij make it plug-and-play. Developers dig the parallel questioning for quick comparisons, like Docker vs Kubernetes trade-offs.

Who should use this?

Backend devs querying mcp github issues or Stack Overflow for tricky errors in Node.js projects. AI power-users in Cursor or Claude Code researching unfamiliar APIs before implementing. Teams using mcp client amazon q for pre-code lookups on changelogs or compatibility, especially with low-latency needs via agentq.

Verdict

With 13 stars and 1.0% credibility score, askr feels early—docs are solid but light on edge cases, no tests visible. Worth a spin for MCP-heavy workflows if you're already in Claude/Cursor; skip for production until more adoption.

(178 words)

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