retinue

by jklthinking · Productivity · ★ 111

retinue is an MCP server by jklthinking. Self-hosted coordination for AI workers: per-task graphs, device/model timelines, progress receipts, and source-aware usage. MIT. It has 111 GitHub stars and ranks #206 of 1809 in Productivity by stars.

Category: Productivity
Author: jklthinking
GitHub stars: 111
This week: Tracking since 20 Oct 2026
Language: Python
License: AGPL-3.0 (open source)
Last update: 2026-10-22 (2 days ago)
Links: Source Website

agent-orchestration
agents
ai-agents
automation
claude
codex
fastapi
feishu
kanban
llm
mcp
model-context-protocol
+8 more

How to install retinue

Install steps differ per project, so follow the README in the retinue repository. Most MCP servers start with a single command (npx -y <package>, uvx <package> or a Docker image) that you add to your client's config. The install guide shows where that goes in Claude Code, Claude Desktop, Cursor and VS Code.

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Frequently asked questions

What is retinue?

retinue is an MCP server by jklthinking in the Productivity category. Self-hosted coordination for AI workers: per-task graphs, device/model timelines, progress receipts, and source-aware usage. MIT. It has 111 GitHub stars and ranks #206 of 1809 in Productivity by stars. It is written in Python. It is licensed under AGPL-3.0. It was last updated 2 days ago.

Is retinue free and open source?

Yes. retinue is published under the AGPL-3.0 license, so you can run, modify and self-host it at no cost. If it connects to a paid service, that service's own pricing and API terms still apply. Check the repository for the exact license text before using it commercially.

What are the alternatives to retinue?

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Data last updated 25 October 2026. Stars and downloads are refreshed every day from GitHub and npm.