retinue MCP Server
jklthinking/retinue
[](https://agentrank-ai.com/tool/jklthinking--retinue/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Self-hosted coordination for AI workers: per-task graphs, device/model timelines, progress receipts, and source-aware usage. MIT.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
jklthinking/retinue is a Python tool licensed under MIT. Self-hosted coordination for AI workers: per-task graphs, device/model timelines, progress receipts, and source-aware usage. MIT. Topics: agent-orchestration, agents, ai-agents, automation, claude, codex, fastapi, feishu, kanban, llm, mcp, model-context-protocol, multi-agent-systems, python, react, self-hosted, sqlite, task-board, task-management, telegram-bot.
Ranked #5034 out of 24846 indexed tools.
Ecosystem
Score Breakdown
117 stars → growing community
Last commit 1mo ago → moderate activity
No issues filed → no history to score
3 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
# Retinue (众卿) — self-hosted task board for humans and AI agents **English** · [简体中文](#众卿-retinue简体中文) · [English demo](https://jklthinking.github.io/retinue/demo-en/?lang=en) · [中文演示](https://jklthinking.github.io/retinue/demo/?lang=zh-CN) The dashboard now switches between English and 简体中文. The language preference is saved locally and preserves the selected task/page. User-authored task content is retained. See the [English PRD](docs/PRD.en.md), [English screenshots and release notes](docs/releases/2026-10-03-english-edition.md), and [English sharing draft](docs/sharing/english.md). **Retinue** (Chinese name **众卿**, "the assembled ministers") is a self-hosted task board and orchestration hub where a mixed team of people and AI agents work the same cards. Every piece of work is one durable baton: a task card with a single holder, an acceptance check, and an append-only receipt chain. You run the board, agents claim work over MCP or HTTP, they write back, and you accept the card orRead full README on GitHub →
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