movo MCP Server
himovo/movo
[](https://agentrank-ai.com/tool/himovo--movo/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Turn DeepSeek Harness into a self-hosted enterprise Agent platform with knowledge, deep research, content generation, vibe coding, browser automation, governance, and admin controls.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
himovo/movo is a Python tool. Turn DeepSeek Harness into a self-hosted enterprise Agent platform with knowledge, deep research, content generation, vibe coding, browser automation, governance, and admin controls. Topics: agent, ai-agents, dsh-plugin, enterprise-agents, mcp, movo, rag, skills, workflow, workflow-automation, brower-automation, vibe-coding.
Ranked #6315 out of 24846 indexed tools.
Ecosystem
Score Breakdown
262 stars → growing community
Last commit 1mo ago → recently updated
8/47 issues closed → many open issues
2 contributors → solo project
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
<p align="center"> </p> <h1 align="center">MOVO Community Edition</h1> <p align="center"> A self-hosted enterprise Agent platform built on DeepSeek Harness (DSH). </p> <p align="center"> <strong>English</strong> · <a href="README.zh-CN.md">简体中文</a> </p> <p align="center"> <a href="#start-in-5-minutes"><strong>🚀 Quick Start</strong></a> · <a href="https://movo.oss-cn-beijing.aliyuncs.com/5E22C353-55F1-45AB-B606-0ED16CC99833.mp4"><strong>▶ Watch Demo</strong></a> · <a href="https://www.himovo.com/en/guide/introduction.html"><strong>📘 Documentation</strong></a> · <a href="https://github.com/himovo/movo/releases/latest"><strong>🆕 What's New</strong></a> </p> <p align="center"> <a href="https://github.com/himovo/movo"></a> · <a href="https://linux.do" alt="LINUX DO"></a><br> If MOVO is useful to you, click <strong>Star</strong> in the upper-right corner to support the project. </p> <br> MOVO brings DSH Agents from development experiments into enterprise productiRead full README on GitHub →
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