by monte-carlo-data · MCP Server · ★ 87
MC Agent Toolkit Monte Carlo's official toolkit for AI coding agents. Brings data observability — lineage, monitoring, validation, alerting, and metadata ingestion — directly into your development workflow. The toolkit bundles multiple skills into a single plugin that works across supported editors. Using Claude.ai (web or desktop) instead of a coding agent? Monte Carlo is a verified connector in the Claude directory — install it directly. Features The toolkit bundles the following capabilities as a single mc-agent-toolkit plugin. Each feature is a skill that can also be used standalone.
| Stars | 87 |
| Forks | 7 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 73.8973413825223/100 |
| Open Issues | 5 |
| Last Updated | 2026-07-03 |
| Created | 2026-02-25 |
| Platforms | claude-code, codex, mcp, python, vscode |
| Est. Tokens | ~15k |
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mc-agent-toolkit is Official Monte Carlo toolkit for AI coding agents. Skills and plugins that bring data and agent observability — monitoring, triaging, troubleshooting, health checks — into Claude Code, Cursor, and mo. It is categorized as a MCP Server with 87 GitHub stars.
mc-agent-toolkit is primarily written in Python. It covers topics such as agent-observability, agent-skills, ai-agents.
You can find installation instructions and usage details in the mc-agent-toolkit GitHub repository at github.com/monte-carlo-data/mc-agent-toolkit. The project has 87 stars and 7 forks, indicating an active community.
mc-agent-toolkit is released under the Apache-2.0 license, making it free to use and modify according to the license terms.