Local-first code context, impact analysis, and merge-readiness verdicts for AI agents.
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io.github.nugehs/repoctx is an MCP server that local-first code context, impact analysis, and merge-readiness verdicts for AI agents. Its tool list has not been published yet over stdio and sse, requires no API key, and scores 89/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"repoctx": {
"args": [
"-y",
"@nugehs/repoctx",
"mcp"
],
"command": "npx"
}
}
}Are you the author?
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Local-first code context for agents and reviewers — what does this change actually touch?
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@nugehs/repoctx' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked @nugehs/repoctx against OSV.dev.
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Models generate the change. Otito proves whether it is safe to merge.

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The generic agent loop (prompting, retries, tool routing, file editing) is becoming infrastructure. Frontier models already plan, search repositories, use tools, and recover from mistakes. Model vendors are packaging native harnesses with file tools and sandbox execution. Competing there is a losing bet.
What remains strategically important is the trust harness: accurate repository context, permission and sandbox boundaries, exact validation against the changed code, risk-sensitive policies, CODEOWNERS and human approval, reproducible receipts, and independent evidence the model cannot award itself. Stronger models increase that need, because teams will let them change more code with less supervision.
Òtítọ́ is that independent trust layer. It is local-first, deterministic, and model-agnostic: it discovers repositories, builds local indexes, generates task-aware context before an agent edits, scores how much a change actually touches, and gates merge readiness. It works the same way every time, with no server, no account, and no code leaving the machine. It does not compete with Codex, Claude Code, Gemini, Cursor, or future native harnesses. It integrates with them, and keeps working as models change underneath it.
New in v1.7.0:
otito eval --gate-effectivenessproves the real staged gate against one valid control and six adversarial changes, each with an expected deterministic reason.
Request -> context -> scoped change -> exact validation -> review evidence -> human decision
Otito helps the agent understand and bound a task before editing, then gives the maintainer evidence to decide whether to trust the result. A passing local gate is never an automatic merge approval: hosted CI, GitHub review, CODEOWNERS, and the human release decision remain separate authorities.
It does not try to replace native agent harnesses, opensrc, code-structure, Daytona, or Harnss. It gives developers and coding agents a single CLI that can:
Deterministic merge gates are the differentiated core. This is the human-in-the-loop checkpoint that a model cannot grade for itself:
review_gate tool (gate on the CLI)otito eval --gate-effectivenessLocal-first context feeds the gates: