Motion by Frapea
One sentence to a finished animation: your AI writes motion graphics as code and checks real frames.
Outside reports could not be checked just now
Motion by Frapea links no public source repository on GitHub, npm, or PyPI; verify its origin and permissions before installing.
Based on public adoption and transparency signals as of Oct 23, 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 sourceSource repository onlyPUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
We hold no install steps for this listing. Follow the project’s own instructions.
Everything known
We could not reach our research just now, so this list may be incomplete. Try again later.
0 incidents · 0 advisories · 0 news articles · 0 community threads
Popularity grade: F (from public signals such as stars and downloads, not a code review). Graded 2026-10-23.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library.
About Motion by Frapea
Motion by Frapea is an MCP server focused on Developer tools and Memory & knowledge: One sentence to a finished animation: your AI writes motion graphics as code and checks real frames.
No standalone npm or PyPI registry package is linked on file; review the project links before installing. Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.
Setup
We hold no install steps for Motion by Frapea. Follow the project’s own instructions.
Why this grade
Signal-based grade (0/7 points): no public source code found. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- 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.
Risks to watch for
- Unlinked source code repository: No public GitHub repository or registry package is linked on file. Verify the publisher identity and inspect the code before running it locally.
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 Motion by Frapea?
No standalone npm or PyPI package is listed for Motion by Frapea. Use the project links in the Key facts section on this page for installation steps.
Are there security reports about Motion by Frapea?
No reports found for this package in our research. Motion by Frapea currently holds Grade F (Many 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 Motion by Frapea actively maintained?
We do not have star or download counts on file for Motion by Frapea yet (listing refreshed 2026-10-23). Check the commit history and open issues before relying on it.
What are alternatives to Motion by Frapea?
Compare Motion by Frapea 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
- Est. context load
- ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context)
- Last updated
- 2026-10-23
- Last graded
- 2026-10-23
Community
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