DAGSentinel
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@DAGSentinelBuild a DAG workflow to lint, test, and deploy my app to Docker"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
DAGSentinel
Model Context Protocol (MCP) Autonomous Multi-Agent Orchestrator
DAGSentinel is an enterprise-grade autonomous agent orchestration engine built natively on the Model Context Protocol (MCP) specification (the Linux Foundation AAIF open standard). Featuring a Directed Acyclic Graph (DAG) state machine, DAGSentinel coordinates specialized autonomous agents (Planner, Worker, Security Auditor) to discover and interact with external developer infrastructure—including Git repositories, Postgres databases, and Docker execution sandboxes—through custom safety-gated MCP servers. The platform provides a visual node-based workflow builder, dual-tier Human-in-the-Loop permission controls for destructive actions, sandboxed tool execution, and granular JSON-RPC observability traces.
License
This project is licensed under the Apache License, Version 2.0. See the LICENSE file for details.
This server cannot be deployed
Maintenance
Related MCP Connectors
Control plane for autonomous software labor. Agents claim objectives over MCP with audit trail.
MCP server for your apps' tools and custom tools, plus hosted AI agents and approval-gated workflows
AI work orchestration for plans, tasks, teams, and coding-agent dispatch.
Open-source Zapier/n8n alternative as an MCP server: agents build, run and debug your workflows.
Related MCP Servers
- AlicenseAqualityAmaintenanceOrchestrates multiple AI coding agents declaratively to automate software development workflows for engineering teams.1238,833 PyPI1,330Apache 2.0
- FlicenseAqualityDmaintenanceA durable multi-agent orchestrator for software development with explicit run graphs, checkpoint/resume capabilities, and project memory exposed through MCP resources and tools. It enables coordinated agent workflows for coding, review, repair, CI, and approval with SQLite-backed memory retrieval and pluggable research backends.10-
- AlicenseNot gradedqualityDmaintenanceEnables multi-model leader-worker agent orchestration, workflow execution, and deterministic validation via structured MCP tools.6 npmApache 2.0
- AlicenseNot gradedqualityDmaintenanceMCP server that turns coding workflows into explicit execution graphs (DAG) with deterministic command execution, human-in-the-loop gates, and tamper-proof run history for Claude Code.1 npmMIT