Agent MCP Server

Pipeline task management for AI agents - stages, dependencies, artifacts, claiming

Local serverstdio

What is the Agent MCP server?

Pipeline task management for AI agents - stages, dependencies, artifacts, claiming. That is what the agent mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

Built for AI coding agents (Claude Code, Codex CLI, Gemini CLI, Aider) but works equally well with any MCP client, REST consumer, or WebSocket listener.

The tools it exposes

The server publishes 1 tool. What each one is for:

  • Category — Tools

What it needs from you

Configuration is passed through the environment: AGENT_COMM_URL, AGENT_KNOWLEDGE_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Getting it running

agent-tasks on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.

How it compares

This sits in the planning and project tracking group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Agent's toolset — Category — is a fair guide to whether it matches your workflow. It is maintained by keshrath; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
CategoryTools

How to install the Agent MCP server

{
  "mcpServers": {
    "agent-tasks": {
      "command": "npx",
      "args": ["agent-tasks"]
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
AGENT_COMM_URLEndpoint or connection string the server talks to.Yes
AGENT_KNOWLEDGE_URLEndpoint or connection string the server talks to.Yes

Example prompts to try

  • Use Agent to Category.

Frequently asked questions

It connects Agent to MCP-compatible AI assistants such as Claude and Cursor, exposing 1 tool (Category) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Agent directly.