overllm
Find the LLM/AI calls you didn't need — where plain code or a regex does the job. No model.
No outside reports on file
overllm is distributed via PyPI (overllm); review its source code, dependencies, and requested permissions before use.
Based on public adoption and transparency signals as of Oct 24, 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 sourcePyPI (overllm)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
uvx overllmEverything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: D (from public signals such as stars and downloads, not a code review). Graded 2026-10-24.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About Overllm
Overllm is an MCP server focused on Developer tools: Find the LLM/AI calls you didn't need — where plain code or a regex does the job. No model.
It is published on PyPI as overllm and hosted on GitHub at theadamdanielsson/overllm. 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.
PyPI command
uvx overllmPyPI (pip) command
pip install overllmMCP client config
For Claude Desktop (claude_desktop_config.json) or Cursor (.cursor/mcp.json).
{
"mcpServers": {
"overllm": {
"command": "uvx",
"args": [
"overllm"
]
}
}
}Why this grade
Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- 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.
Risks to watch for
- Dependency & version pinning: Distributed via PyPI (overllm). 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 Overllm?
Run uvx overllm (or pip install overllm) in your terminal, or add the server entry to your claude_desktop_config.json or .cursor/mcp.json as shown in the Setup section on this page. Full setup docs and environment variables are in github.com/theadamdanielsson/overllm.
Are there security reports about Overllm?
No reports found for this package in our research (last checked 2026-10-30). Overllm 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 Overllm actively maintained?
We do not have star or download counts on file for Overllm yet (listing refreshed 2026-10-29). Check the commit history and open issues at github.com/theadamdanielsson/overllm before relying on it.
What are alternatives to Overllm?
Compare Overllm 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
- theadamdanielsson
- Source code
- github.com/theadamdanielsson/overllm
- Install command
- pip install overllm
- Est. context load
- ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context)
- Last updated
- 2026-10-29
- Last graded
- 2026-10-24
Community
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