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Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates
npx @getmcp/cli add io.github.jpicklyk/task-orchestratorRequires Docker Engine. Community-contributed server. Review source before installing.
Config file: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"io.github.jpicklyk/task-orchestrator": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"DATABASE_PATH",
"-e",
"USE_FLYWAY",
"-e",
"AGENT_CONFIG_DIR",
"-e",
"MCP_TRANSPORT",
"-e",
"MCP_HTTP_PORT",
"-e",
"LOG_LEVEL",
"ghcr.io/jpicklyk/task-orchestrator:latest"
],
"env": {
"DATABASE_PATH": "",
"USE_FLYWAY": "",
"AGENT_CONFIG_DIR": "",
"MCP_TRANSPORT": "",
"MCP_HTTP_PORT": "",
"LOG_LEVEL": ""
}
}
}
}Team-aware memory: intent, decisions, real-time conflicts for AI coding assistants.
MCP server for progressive tool usage at any scale (see https://klavis.ai)
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A MCP server built for developers enabling Git based project management with project and personal…