metacodes
The agent harness you can embed anywhere: a 5.5 MB Zig agent core and coding CLI with a C ABI, graph memory and a kernel no plugin can bypass.
Not matched to a published package yet
metacodes is distributed via GitHub (metask-ai/metacodes); review its source code, dependencies, and requested permissions before use.
Based on public adoption and transparency signals as of Oct 31, 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 (metask-ai/metacodes)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/metask-ai/metacodes ↗
Everything known
We have not matched this listing to a published package, so we cannot say whether outside reports exist for it. Reports that name its GitHub project would be listed here.
Popularity grade: D (from public signals such as stars and downloads, not a code review). Graded 2026-10-31.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-31.
About metacodes
metacodes is an MCP server focused on Developer tools and Memory & knowledge: The agent harness you can embed anywhere: a 5.5 MB Zig agent core and coding CLI with a C ABI, graph memory and a kernel no plugin can bypass.
It is hosted on GitHub at metask-ai/metacodes (9 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/metask-ai/metacodes.
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
- 9
- Listing last refreshed
- 2026-10-31
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 GitHub (metask-ai/metacodes). 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 metacodes?
We have not matched this listing to a published package. Follow the setup steps in its source repository at github.com/metask-ai/metacodes.
Are there security reports about metacodes?
We have not matched this listing to a published package, so this page cannot say whether outside reports exist. metacodes 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 metacodes actively maintained?
metacodes has 9 GitHub stars. Our directory data was last refreshed on 2026-10-31. Check recent commit activity, release tags, and open issues at github.com/metask-ai/metacodes before pinning it in production.
What are alternatives to metacodes?
You can compare metacodes side by side with other Memory MCP servers in the Related tools section on this page, or use the Compare tool on AgentArmorHQ.
README badge and team notes
Maintain or use metacodes? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/metask-ai-metacodes)HTML embed:
<a href="https://agentarmorhq.com/skills/metask-ai-metacodes"><img src="https://agentarmorhq.com/api/badge/metask-ai-metacodes" alt="AgentArmorHQ Risk Grade for metacodes" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "metask-ai-metacodes"Share with your security lead
Need sign-off to use metacodes? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: metacodes
- **Listing URL:** https://agentarmorhq.com/skills/metask-ai-metacodes
- **Type:** App connector
- **Risk Grade:** Grade D (High risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 9 GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** GitHub (metask-ai/metacodes)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/metask-ai/metacodes
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 31, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- App connector
- Publisher
- metask-ai
- Source code
- github.com/metask-ai/metacodes
- Est. context load
- ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context)
- Popularity
- 9 GitHub stars
- Last updated
- 2026-10-31
- Last graded
- 2026-10-31
Community
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