lad
An open protocol for discovering A2A-capable AI agents on local networks — the discovery & trust bootstrap layer beneath A2A (mDNS/DNS-SD, well-known endpoints, signed AgentCards).
No outside reports on file
lad is distributed via GitHub (franzvill/lad); 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 executionRuns shell or system commandsREVIEW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (franzvill/lad)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/franzvill/lad ↗
About Lad
Lad is an MCP server focused on General: An open protocol for discovering A2A-capable AI agents on local networks — the discovery & trust bootstrap layer beneath A2A (mDNS/DNS-SD, well-known endpoints, signed AgentCards).
It is hosted on GitHub at franzvill/lad (250 GitHub stars). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.
Setup
Check these steps against the project’s own instructions before running anything.
No standalone npm or PyPI package is listed for this MCP server. Clone and inspect the source repository directly:
git clone https://github.com/franzvill/lad.git
Review the README and source files in https://github.com/franzvill/lad (opens external site) before running any setup commands.
Why this grade
Signal-based grade (2/7 points): public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 250
- Listing last refreshed
- 2026-10-23
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 2026-10-30).
Risks to watch for
- Dependency & version pinning: Distributed via GitHub (franzvill/lad). 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 Lad?
Lad does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/franzvill/lad.
Are there security reports about Lad?
No reports found for this package in our research (last checked 2026-10-30). Lad currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include dependency & version pinning:.
Is Lad actively maintained?
Lad has 250 GitHub stars. Our directory data was last refreshed on 2026-10-23. Check recent commit activity, release tags, and open issues at github.com/franzvill/lad before pinning it in production.
What are alternatives to Lad?
Compare Lad 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
- franzvill
- Source code
- github.com/franzvill/lad
- Est. context load
- ~550 tokens / turn (~3 tool schemas, 0.27% of 200k context)
- Popularity
- 250 GitHub stars
- Last updated
- 2026-10-23
- Last graded
- 2026-10-19
Community
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