io.github.mightydatainc/ruc-mcp

MCPcommunity
v0.1.5io.github.mightydataincUnknownUpdated 4mo agoGitHub

An MCP server that fuses LLM contextual intelligence with procedural code reliability.

Render Unto Caesar (RUC) plugs into your AI agent and gives it the ability to write and run snippets of code on an as-needed basis — snippets of code that call right back to the AI agent during their execution. It effectively melds LLMs with traditional software, allowing each part of a task to be handled by the architecture that suits it best. The result is inference, judgment, and…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
4mo agoLast update
Package
Authorio.github.mightydatainc
LicenseUnknown
Version0.1.5
Sourcemcp-registry
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/30
→ Publisher: run `forge publish` from the repo to claim ownership
—Domain verification+0/10
→ Not currently available for this listing type — the domain-verification check only runs for npm-backed packages today, so this row cannot be earned here yet regardless of what's hosted at the domain.
✓Prompt-injection scan · clean+30/30
✓Obfuscation / exfil scan · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ CleanvHEAD · 3mo agoHow well does this scan work?
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts.

Tools

Source not readable3mo ago

The repository archive could not be read at scan time (tarball exceeds size cap), so no tool declarations could be extracted from it. Nothing here is a statement about what this exposes.

About

Render Unto Caesar (RUC) plugs into your AI agent and gives it the ability to write and run snippets of code on an as-needed basis — snippets of code that call right back to the AI agent during their execution. It effectively melds LLMs with traditional software, allowing each part of a task to be handled by the architecture that suits it best. The result is inference, judgment, and creativity that nonetheless executes methodically and reliably across long operations, large datasets, and…

Keywords
mcp
Alternatives
Comparing tool surfaces…

No dependency coverage

This entry publishes no npm package, so Forge has no dependency tree for it. That is a gap in coverage — not a statement that it has no dependencies.