Ai Ops
Dispatch work across 12 specialized MCP agents and coordinate tasks when you run multiple AI helpers like a small ops team.
Overview
AI Ops is an MCP server for the Operate phase that provides 12 specialized agents with task dispatch and team coordination for ongoing AI workflows.
What is this MCP server?
- 12 specialized agents exposed through the MCP ops server
- Task dispatch and routing for multi-step agent work
- Team-style coordination primitives for parallel agent roles
- npm stdio package palyan-ai-ops-mcp-server v1.0.1
- Centered on AI operations management, not single-tool CRUD
- 12 specialized agents advertised in server description
- MCP server version 1.0.1 (npm identifier palyan-ai-ops-mcp-server)
- stdio transport via npm registry package
What problem does it solve?
Running many ad-hoc agent chats without dispatch or roles makes solo builders lose track of who should handle which task next.
Who is it for?
Builders already running several agent workflows who want a single MCP ops layer for assignment and coordination.
Skip if: Someone shipping their first feature who only needs one coding agent and no multi-agent routing.
What do I get? / Deliverables
You can route tasks to specialized agents through MCP and coordinate multi-step AI work with less manual chat juggling.
- Access to 12 specialized agent roles via MCP tools
- Task dispatch and coordination across agent responsibilities
- Structured handoffs for recurring AI operations workflows
Recommended MCP Servers
Journey fit
Once agents are in production use, you need dispatch and coordination—not just building the first integration. Iterate covers improving how you run agent fleets: routing tasks, roles, and handoffs via ai-ops rather than one monolithic prompt.
How it compares
Multi-agent dispatch MCP, not a replacement for Claude Code skills or project management SaaS.
Common Questions / FAQ
Who is ai-ops for?
Solo builders and lean teams operating multiple AI agents daily and wanting structured task dispatch instead of unstructured parallel threads.
When should I use ai-ops?
Use it in operate/iterate when you stabilize how agents split research, implementation, review, and support-style tasks across a recurring pipeline.
How do I add ai-ops to my agent?
Add the npm MCP server palyan-ai-ops-mcp-server (v1.0.1) as a stdio entry in your agent’s MCP config, then invoke its dispatch and coordination tools from Claude Code or Cursor.