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MCP Task Orchestrator

local MCP server

Installation

Terminal

claude mcp add io-github-jpicklyk-task-orchestrator -e DATABASE_PATH=... -e USE_FLYWAY=... -e AGENT_CONFIG_DIR=... -e MCP_TRANSPORT=... -e MCP_HTTP_PORT=... -e LOG_LEVEL=... -e LOG_FILE=... -- docker run -i --rm ghcr.io/jpicklyk/task-orchestrator:3.15.0

Run in your project folder. Add --scope user to use it everywhere.

Claude Desktop, Cursor & other clients

Add to claude_desktop_config.json or .cursor/mcp.json.

{
  "mcpServers": {
    "io-github-jpicklyk-task-orchestrator": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/jpicklyk/task-orchestrator:3.15.0"
      ],
      "env": {
        "DATABASE_PATH": "...",
        "USE_FLYWAY": "...",
        "AGENT_CONFIG_DIR": "...",
        "MCP_TRANSPORT": "...",
        "MCP_HTTP_PORT": "...",
        "LOG_LEVEL": "...",
        "LOG_FILE": "..."
      }
    }
  }
}

Fill in the environment variables with your own credentials.

Summary

Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates

Questions

MCP Task Orchestrator is a local MCP server distributed as the oci package ghcr.io/jpicklyk/task-orchestrator:3.15.0.

Run: claude mcp add io-github-jpicklyk-task-orchestrator -e DATABASE_PATH=... -e USE_FLYWAY=... -e AGENT_CONFIG_DIR=... -e MCP_TRANSPORT=... -e MCP_HTTP_PORT=... -e LOG_LEVEL=... -e LOG_FILE=... -- docker run -i --rm ghcr.io/jpicklyk/task-orchestrator:3.15.0

Run: codex mcp add io-github-jpicklyk-task-orchestrator --env DATABASE_PATH=... --env USE_FLYWAY=... --env AGENT_CONFIG_DIR=... --env MCP_TRANSPORT=... --env MCP_HTTP_PORT=... --env LOG_LEVEL=... --env LOG_FILE=... -- docker run -i --rm ghcr.io/jpicklyk/task-orchestrator:3.15.0

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