Badgr — GPU Compute, AI Model Deployment & Agent Execution
Rank #161,204smithery/michaelhireitem/badgr-mcp
**Run GPU workloads, deploy AI models, access inference APIs, and execute AI agents using Badgr's MCP server.** Badgr is an AI compute and workload execution platform for developers, coding agents, and AI assistants. Run workloads on cloud GPUs or compatible customer-owned GPUs (BYO GPU), with cost controls, execution logs, and verified results. **What can Badgr do?** - **GPU Compute / AI Workloads:** Run Python scripts, machine learning jobs, batch inference, and supported ComfyUI workflows. - **AI Model Deployment:** Deploy and serve LLMs using compatible runtimes such as vLLM and SGLang. Get a verified, OpenAI-compatible inference endpoint. - **AI API / LLM Inference:** Make AI API requests with response validation, supported fallback routing, and bounded execution. - **AI Agent Execution:** Launch coding and testing agents, run tasks, check acceptance criteria, and retrieve execution receipts. **Key features:** Cloud GPU execution, BYO GPU support, model serving, AI agent jobs, workload verification, execution logs, cost limits, and deployment management. Connect Badgr to your MCP-compatible AI assistant to execute real workloads instead of just generating instructions. Get started: https://aibadgr.com **Requires a Badgr API key. GPU workloads and other paid execution may incur usage charges.**
What you can do with Badgr — GPU Compute, AI Model Deployment & Agent Execution
Badgr — GPU Compute, AI Model Deployment & Agent Execution is a Model Context Protocol (MCP) server. It ranks #161,204 of 162,202 active servers on MCP Toplist. Badgr — GPU Compute, AI Model Deployment & Agent Execution is listed on Smithery; no version information is available from the registries that list it or from its repository. It was first listed on Oct 10, 2026.
Not verifiedMCP Toplist has not yet written a checked profile for this server, so the paragraph above is assembled from registry data only. Its registry listings below are the authority on what it does.
What Badgr — GPU Compute, AI Model Deployment & Agent Execution can and cannot do
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What you need before using Badgr — GPU Compute, AI Model Deployment & Agent Execution
No registry MCP Toplist tracks declares this server’s credentials or configuration, and it has no public endpoint to probe. Check the repository README before installing.
No runtime, credential or payment requirements are recorded for this server beyond the declaration above.
Connect Badgr — GPU Compute, AI Model Deployment & Agent Execution and confirm it works
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After adding the config, ask your client to list this server's tools. A tool list confirms the connection; an empty list or an error means the server did not start or needs credentials.
What changed, and when this was checked
- First listed
- Oct 10, 2026
- Version history
- Unavailable — no registry exposes versions and no release tags were found
- Requirements evidence
- None — no registry declares requirements and there is no public endpoint to probe
- Profile checked
- Not yet — purpose, capabilities and requirements above come from registry data only
- Ranking data as of
- Oct 28, 2026
- Smithery ↗listed since Oct 28, 2026 · still listed
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Version information unavailable
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Frequently asked questions
- Is Badgr — GPU Compute, AI Model Deployment & Agent Execution listed on the Official MCP Registry?
- Badgr — GPU Compute, AI Model Deployment & Agent Execution is not on the Official MCP Registry. It is listed on Smithery.
- How many versions does Badgr — GPU Compute, AI Model Deployment & Agent Execution have?
- Version information is unavailable for Badgr — GPU Compute, AI Model Deployment & Agent Execution: no registry that lists it exposes version metadata, and no release tags were found on its repository.
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