# AiBadgr/badgr-mcp

> MCP server that lets coding agents provision GPU jobs and OpenAI-compatible model endpoints on Badgr directly from Claude, Cursor or Copilot.

- Magnitude: 0.0 out of 10 — Quiet
- Stars: 0 total · Not enough measurements today
- Star trust: star growth looks organic
- Category: AI agents · Language: JavaScript · License: Apache-2.0 · Created: 2026-10-10 · Last push: 2026-10-10
- GitHub: https://github.com/AiBadgr/badgr-mcp · Page: https://gitnova.dev/en/r/AiBadgr/badgr-mcp

## Useful for

- Serve a HuggingFace model on a GPU and get an OpenAI-compatible endpoint URL from the agent
- Run a one-off Docker training command on a GPU and fetch its logs
- List active deployments and stop them to halt billing

## Why it’s here

- There are not enough fresh counter measurements for today's UTC day. The gain is unknown.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 0
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 0 per day
- Usual pace: 0 per day
- Latest release: v1.1.0 (2026-10-10)

## Stars per day, last 15 days (oldest → newest, today is partial)

2026-10-10 … 2026-10-24: 0, 0, 0, 0, 0, 0, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 10 days

10-15 0.0, 10-16 0.0, 10-17 0.0, 10-18 0.0, 10-19 0.0, 10-20 0.0, 10-21 0.0, 10-22 0.0, 10-23 0.0, 10-24 0.0

## Similar by description

1. **cipansor/mcp-jules** — 0.0 · Quiet · AI agents · TypeScript · Not enough measurements today
   An MCP server that bridges MCP clients (such as Claude) with the Google Jules REST API, letting you create and manage agentic coding sessions programmatically.
   Full card: https://gitnova.dev/en/r/cipansor/mcp-jules.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-24 18:51 UTC, updated every 30 minutes.