qiaomu-llm-mcp
把多模型 Provider、本地密钥和 HeavySkill 讨论统一成 MCP 网关 | Local MCP gateway for multi-provider LLM routing, secrets, and HeavySkill discussions.
No outside reports on file
qiaomu-llm-mcp is distributed via GitHub (joeseesun/qiaomu-llm-mcp); review its source code, dependencies, and requested permissions before use.
Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachLocal or standard API callsLOW
- CredentialsNo API token requiredLOW
- Package sourceGitHub (joeseesun/qiaomu-llm-mcp)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/joeseesun/qiaomu-llm-mcp ↗
About Qiaomu LLM MCP
Qiaomu LLM MCP is an MCP server focused on Developer tools: 把多模型 Provider、本地密钥和 HeavySkill 讨论统一成 MCP 网关 | Local MCP gateway for multi-provider LLM routing, secrets, and HeavySkill discussions.
It is hosted on GitHub at joeseesun/qiaomu-llm-mcp (47 GitHub stars). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.
Setup
These use the package this listing points to. Check the project’s own instructions before running anything.
No npm or PyPI package is listed for this MCP server. Source code and setup steps: github.com/joeseesun/qiaomu-llm-mcp.
Why this grade
Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 47
- Listing last refreshed
- 2026-10-29
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Security reports
No reports found for this package in our research (last checked 2026-10-29).
Risks to watch for
- Dependency & version pinning: Distributed via GitHub (joeseesun/qiaomu-llm-mcp). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.
How to lower the risk
Least-privilege permissions
- Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
- Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.
Network isolation
- Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
- If your IT team can, limit which websites and services it is allowed to contact.
Monitoring
- Check its activity history or logs weekly at first, and look at what it changed or sent.
- Turn on alerts for new logins or unusual usage on any account it connects to.
Red flags to watch for
- It asks for more access than its job requires, or prompts you to paste passwords.
- It suddenly updates with new owners, or starts contacting unfamiliar websites.
Questions
How do I install Qiaomu LLM MCP?
Qiaomu LLM MCP does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/joeseesun/qiaomu-llm-mcp.
Are there security reports about Qiaomu LLM MCP?
No reports found for this package in our research (last checked 2026-10-29). Qiaomu LLM MCP currently holds Grade D (High risk signals) based on public adoption and transparency signals. Review the permissions and source repository before granting access to local files, shell commands, or API keys.
Is Qiaomu LLM MCP actively maintained?
Qiaomu LLM MCP has 47 GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/joeseesun/qiaomu-llm-mcp before pinning it in production.
What are alternatives to Qiaomu LLM MCP?
Compare Qiaomu LLM MCP side by side with similar MCP servers in the Related tools section on this page, or browse all MCP servers on AgentArmorHQ.
Key facts
- Type
- App connector
- Publisher
- joeseesun
- Source code
- github.com/joeseesun/qiaomu-llm-mcp
- Est. context load
- ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context)
- Popularity
- 47 GitHub stars
- Last updated
- 2026-10-29
- Last graded
- 2026-10-19
Community
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