by antiv · MCP Server · ★ 80
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
MATE — The Command Center for AI Agents Stop the redeploy-to-tweak loop. Created by Ivan Antonijević You built an agent. Now you need to tune the prompt. Swap the model. Restrict access for specific users. Figure out what it's actually costing you. And make sure yesterday's behavior still works after today's changes. Without a control layer, every one of those is a code change, a commit, and a redeploy. MATE is that control layer. Built on Google ADK, it adds everything production needs — live configuration, RBAC, cost tracking, regression testing, and an embeddable chat widget — without touching your agent code. The Problem with Agents in Production A single agent in a notebook is easy. A hierarchy of agents serving real users is not. Iteration is slow. Tweaking a prompt means editing code, committing, and redeploying. By the time you've tested three variations you've wasted half a day. Governance i
| Stars | 80 |
| Forks | 6 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 53.41/100 |
| Open Issues | 14 |
| Last Updated | 2026-06-18 |
| Created | 2026-02-27 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~17k |
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mate is Production-ready multi-agent orchestration engine built on Google ADK. Database-driven agent config, 50+ LLM providers, MCP protocol, persistent memory, web dashboard, RBAC.. It is categorized as a MCP Server with 80 GitHub stars.
mate is primarily written in Python. It covers topics such as agent-orchestration, ai-agents, dashboard.
You can find installation instructions and usage details in the mate GitHub repository at github.com/antiv/mate. The project has 80 stars and 6 forks, indicating an active community.
mate is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
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