LoopOver MCP server
Commit Nov 3, 2026Automates the entire development lifecycle by providing autonomous agents for writing, reviewing, and merging code on GitHub repositories.
Also known as JSONbored/loopover
- Stars
- 22
- Tools
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- Downloads, 30 days
- —
- Latest version
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- Last commit
- Nov 3, 2026
- License
- AGPL-3.0
What is LoopOver MCP?
LoopOver automates the entire development lifecycle by providing autonomous agents for writing, reviewing, and merging code on GitHub repositories.
Summary generated from the project's README
About LoopOver MCP server
Automating the entire development lifecycle from writing and reviewing to merging code on GitHub is what LoopOver enables for maintainers and contributors. Maintainers can self-host an autonomous review agent that manages pull request queues by grounding AI reviews in finished CI status, full file content, and codebase RAG. This agent can gate, approve, or merge changes while respecting specific controls like kill-switches and dry-runs.
Contributors use the @loopover/mcp package to bring predicted gate verdicts, branch preflight checks, and duplicate detection into their own AI harnesses. The system includes a miner runtime that runs unattended across repositories based on a goal specification. For those using Bittensor, the engine provides scoreability previews and registry economics. The setup requires a local CLI installation via npm and can be integrated into clients like Claude or Cursor using stdio configuration.
What you can do with it
- 1Autonomous Repository MiningThe miner runtime can run unattended across multiple repositories to find development opportunities.
- 2Security and Secret ScanningThe system can automatically scan code diffs for leaked secrets and neutralize prompt injection attempts.
Written from the project's README. Every use case is checked against a quote from it.
Automated checks
Ran Nov 14, 2026Full report →Not verified yet. A server needs a score of 80, no serious finding, and enough data for us to check. How checks work · What to fix for more points
- Source repository linked and reachablejsonbored/loopover is public and reachablegithub.com/jsonbored/loopover ↗Pass
- Package names this repository as its sourceNot checked
- Build provenance (Sigstore attestation)Not checked
- Open source license (OSI)AGPL-3.0spdx.org/licenses/AGPL-3.0.html ↗Pass
- Commit or release in the last yearLast commit or release 2026-11-03github.com/jsonbored/loopover ↗Pass
- OpenSSF ScorecardNot checked
- Package name not close to a popular packageNot checked
- No critical advisory in the package or its dependenciesNot checked
- No hidden instructions to the model0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersPass
- Destructive tools are labelledNot checked
- Remote endpoint answers the MCP handshakeNot checked
README
View on GitHubLoopOver
Formerly Gittensory.
The loop never sleeps. You finally can.
LoopOver automates the entire development lifecycle — write, review, merge, learn — end to end, with agents on both sides and a published safety record. The good kind of infinite loop, on any GitHub repo.
- For maintainers (self-hosted): an autonomous review agent works the PR queue end-to-end — AI review grounded in finished CI status, full post-change file content, and codebase RAG — then gates, approves, requests changes, merges, or closes on its own, governed by dry-run / pause / freeze / kill-switch controls.
- For contributors: the
@loopover/mcpcopilot brings predicted gate verdicts, branch preflight, duplicate detection, and cross-repo opportunity discovery into your own AI harness; the autonomous miner runtime (@loopover/miner) runs unattended across a fleet of repos, respecting each target repo's.loopover-miner.ymlgoal spec. - With proof: merge/close decisions are outcome-confirmed (merged / reopened / reverted), published with coverage and confidence intervals on the live fairness report, and backed by a certified close-precision guarantee that self-tightens as data grows. The backtest corpus behind the published numbers is checksummed and replayable by anyone.
- Gittensor-native intelligence built in: for Bittensor SN74 miners the same engine adds scoreability previews, registry economics, and the cross-repo duplicate graph — while keeping wallet, hotkey, and raw trust-score context out of public GitHub output.
Self-hosting the whole stack is the path available today — and it doubles as the trust story: audit the algorithm, run it on your own infra, replay the published numbers yourself. A hosted plane is in open development on the public milestones (ORB Cloud Readiness, Rent-a-Loop): rentable, metered loops you point at a repo — and, further out, at nothing more than an idea.
It is the single converged home of the native review system; the legacy separate reviewbot repo/runtime is not part of the active architecture described here.
It is not a Gittensor explorer, public leaderboard, reward-farming bot, or wallet dashboard.
Privacy Boundary
LoopOver keeps sensitive context private by default.
- MCP local branch analysis sends metadata, not source contents.
- Public GitHub comments never include wallet, hotkey, reward estimate, private ranking, raw trust score, or reviewability context.
- Optional AI summaries receive compact deterministic signal bundles, not raw source code.
- Maintainer packets and scoring context stay on protected API/MCP surfaces.
- MCP tool-call telemetry is an allowlist of four fields, and is anonymous — see below.
MCP telemetry
A recorded MCP tool call carries exactly four fields, and there is no fifth: the tool name, which surface
dispatched it (remote or local), whether it succeeded, and a coarse duration in milliseconds. The
allowlist is the event shape itself rather than a filter over a richer one, so there is nowhere to put anything
else.
Never tracked: tool arguments, source contents, repository or issue text, and wallet, hotkey, coldkey, reward, private ranking, or raw trust-score data. Events also carry no per-actor identity — every event shares one constant, anonymous handle, so there is no per-user profile to accumulate — and IP-based geo enrichment is disabled.
Each surface is controlled separately, and they differ in who holds the switch:
- Local CLI (
@loopover/mcp) — opt-in, OFF by default. Nothing is recorded unless you have runloopover-mcp telemetry enable; an API key alone is not enough.loopover-mcp telemetry statusreports the current state, anddisableremoves the flag entirely. - Hosted / remote MCP — a deployment setting, not a per-user one: it records when the operator configures
POSTHOG_API_KEY, which the hosted service does. A self-hosted deployment that leaves it unset records nothing.
See Privacy and security for the full boundary.
Review Capabilities
LoopOver CI and LoopOver review score, gate, and comment on pull requests. The review algorithm is open-source; operators tune behavior through per-repo settings and the LOOPOVER_REVIEW_* feature flags, every one of which ships OFF and is opt-in per repo.
- Safety scan — defangs untrusted PR title/body/diff (prompt-injection neutralization) before the AI reviewer reads them, and scans the diff for leaked secrets, surfacing a
secret_leakblocker. - CI + full-file grounding — grounds the AI reviewer with the PR's finished CI status and the full post-change content of the changed files, so claims are verified against reality instead of predicted.
- Codebase RAG — retrieval-augmented context that queries the codebase vector index for related callers, modules, and conventions and appends them to the reviewer prompt (additive only; inert until an index exists).
- Submitter-reputation gating — an internal-only spend control that downgrades new / burst / low-reputation submitters to a deterministic-only review, never surfaced on any public comment, label, or check.
- Unified review comment — renders the public PR feedback as one in-place comment instead of multiple panels. With
.loopover.yml'sreview.changed_files_summaryalso on (off by default), it gains a deterministic, no-AI "Changed files" collapsible: one row per file category (source/test/docs/config/generated), with file counts and +/- totals. - Per-repo activation — capabilities roll forward (and back) one flag and one repo at a time via the
LOOPOVER_REVIEW_REPOSallowlist.
Check-run and comment surfaces, disambiguated (a common point of confusion — these are three independent, separately-configured things, not layers of the same feature):
LoopOver Orb Review Agent(gate.*/settings.reviewCheckMode, off by default) — the authoritative GitHub Check Run carrying the gate's pass/fail verdict. This is the one worth making a required status check.LoopOver Context(settings.checkRunMode/settings.checkRunDetailLevel, off by default) — a separate, purely advisory Check Run. At its defaultcheckRunDetailLevel: minimalit publishes no findings at all; even atstandard/deepit only re-renders content already shown elsewhere. Never make this one required.- Inline review comments (
LOOPOVER_REVIEW_INLINE_COMMENTS+.loopover.yml'sreview.inline_comments, off by both by default) — real, reply-able line-anchored PR review comment threads (CodeRabbit-style). This is the ONLY one of the three that posts an interactive per-line thread; the two check runs above never do. With.loopover.yml'sreview.suggestionsalso on, a precise line-anchored fix is additionally rendered as a one-click, committable GitHub suggested-change block. Withreview.finding_categoriesalso on (off by default), each finding is additionally tagged with a category — security/correctness/performance/maintainability/tests/style — in both the inline comment label and the unified comment's "Finding categories" collapsible; a deterministic path/keyword fallback covers whatever the model omits.
See Tuning your reviews for the full flag, setting, and .loopover.yml reference.
Start Here
| Audience | Start | Useful next links |
|---|---|---|
| Miners and contributors | Quickstart | MCP client setup, Miner workflow, Scoreability |
| Maintainers | GitHub App | Maintainer workflow, Self-host reviews, Privacy and security |
| Repo owners and operators | Beta onboarding | Upstream drift, Troubleshooting, Roadmap |
| Agent authors | Agents | API browser, MCP client setup |
Surfaces
| Surface | Link |
|---|---|
| Website | loopover.ai |
| Docs | loopover.ai/docs |
| MCP package | @loopover/mcp |
| Engine package | @loopover/engine — shared deterministic logic for the review stack and miner |
| Miner package | @loopover/miner — local foundation CLI for the autonomous miner runtime |
| API | API browser and OpenAPI JSON |
| GitHub App | Setup docs — self-hosting is the only currently available path |
MCP Install
npm install -g @loopover/mcp@latest
loopover-mcp login
loopover-mcp doctor
loopover-mcp --stdio
Print editor/client snippets:
loopover-mcp init-client --print codex
loopover-mcp init-client --print claude
loopover-mcp init-client --print cursor
For full editor setup and stdio configuration, use MCP client setup.
Run base-agent commands:
loopover-mcp agent plan --login jsonbored --json
loopover-mcp agent packet --login jsonbored --json
loopover-mcp agent status <run-id> --json
Local Development
npm install
npm run cf-typegen
npm run db:migrate:local
npm run dev
npm run test:ci
Release-only validation:
npm run test:release
npm run test:release:mcp
Frontend:
npm run ui:dev
npm run ui:build
Gittensor Contributor Impact
Refreshed weekly by .github/workflows/gittensor-impact.yml.
Project Links
| Need | Link |
|---|---|
| Contributing | CONTRIBUTING.md |
| Security | SECURITY.md |
| Support | SUPPORT.md |
| Changelog | CHANGELOG.md |
Normal feature/fix PRs do not edit changelogs. Changelogs are release-prep artifacts.
LoopOver MCP questions
How does LoopOver handle privacy and sensitive data?
It keeps sensitive context private by default, sending only metadata for local branch analysis and ensuring public GitHub comments never include private wallet or ranking data.
Can I self-host LoopOver?
Yes, self-hosting the whole stack is currently the available path, allowing you to audit the algorithm and run it on your own infrastructure.
What are the review capabilities of the agent?
The agent provides safety scans for prompt injection and secrets, CI and full-file grounding, codebase RAG, and unified review comments.