Is the Deepseek-Continuity MCP server actively maintained?

The Deepseek-Continuity MCP server was last committed 4d ago and has 0 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

Deepseek-Continuity MCP Server

Name: linxuhao/Deepseek-Continuity
Rating: 3.3 (1 reviews)
Author: linxuhao

linxuhao/Deepseek-Continuity

Score: 56.7 Rank #7138 MCP Server

Are you the maintainer of linxuhao/Deepseek-Continuity? Claim this listing →

DeepSeek Harness plugin for local image / voice / music / SFX generation: the same character stays the same character across calls, degenerate output is refused rather than returned, and the GPU is untouched when idle. Hand the image half to any OpenAI-shaped API instead and its engine and 10.1 GiB of weights are never installed.

Add AgentRank to Claude Code Discover and compare tools like linxuhao/Deepseek-Continuity — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

linxuhao/Deepseek-Continuity is a Python tool licensed under MIT. DeepSeek Harness plugin for local image / voice / music / SFX generation: the same character stays the same character across calls, degenerate output is refused rather than returned, and the GPU is untouched when idle. Hand the image half to any OpenAI-shaped API instead and its engine and 10.1 GiB of weights are never installed.

Ranked #7138 out of 24840 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python MIT

Score Breakdown

Stars 15% 3

3 stars → early stage

Freshness 25% 4d ago

Last commit 4d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description Detailed

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/badge/tool/linxuhao--Deepseek-Continuity)](https://agentrank-ai.com/tool/linxuhao--Deepseek-Continuity/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/linxuhao--Deepseek-Continuity/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/linxuhao--Deepseek-Continuity" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="linxuhao/Deepseek-Continuity"></script>

Details

Stars: 3
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: MIT
Last Commit: 4d ago

Matched Queries

topic:mcptopic:mcp-server

See alternatives to linxuhao/Deepseek-Continuity → Browse mcp-server category → Compare linxuhao/Deepseek-Continuity → How to Build an MCP Server in 2026 →MCP Server Comparison: Top 10 Head-to-Head →

View on GitHub →