Deterministic local repository context, impact analysis, and merge-readiness evidence for AI agents.
io.github.BASHBOP/otito — MCP Server
This MCP server provides deterministic local repository context and supports impact analysis and merge-readiness evidence for AI agents. Its scope is centered on local-first code context, including code mapping and merge-gate style checks to support PR review and repository analysis.
🛠️ Key Features
Deterministic local repository context
Impact analysis
Merge-readiness evidence
Code context and code map generation
🚀 Use Cases
AI agent workflows that need repository context
Impact analysis before changes are merged
Merge gating during PR review
Repository analysis for developer tooling
⚡ Developer Benefits
Local-first operation for code context and analysis
Evidence oriented merge-readiness checks
Integrates with MCP-based “mcp-server” setups
Uses a CLI-focused workflow (topic: cli)
⚠️ Limitations
Described materials do not specify supported platforms, protocols beyond MCP, or tool interfaces (beyond the server context and analysis scope).
Solumbe is a local-first, deterministic, model-agnostic trust layer for AI-assisted development. It builds task-aware repository context before an agent edits, scores how much a change actually touches, and gates merge readiness against the exact staged tree, with no server, no account, and no code leaving the machine.
It does not replace Claude Code, Codex, Cursor, Gemini, or any native agent harness. It runs beside them and keeps working as the models change underneath.
A passing local gate is never an automatic merge approval: hosted CI, GitHub review, CODEOWNERS, and the human release decision remain separate authorities.
Install
bash
npm install -g @bashbop/solumbe
solumbe doctor
Or without installing: npx -y @bashbop/solumbe doctor.
What it does
Rank what a change actually touches, from the request alone, with no model, no embeddings, and no network:
Gate the exact staged tree, and say precisely why:
console
$ solumbe gate . --staged --base origin/main --request "add refund handling to checkout" --min-convergence 80
[OK] Changed files 1 changed file found.
[OK] Staged snapshot Changed-file scope and convergence evidence are captured from the exact staged Git tree.
|- Tree: 7d0b513dd256877d6bd309a6406468a9b1eaeedc
|- Base: b776f04fcfbd02c8ce8d63e1a0c2450be58de039
[OK] Secret safety No secret file paths and no credential values found in the changed content.
[WARN] Risk review Risk-sensitive files changed; maintainer review should be explicit.
|- src/payment/checkout.service.ts
[OK] Convergence Task and diff satisfy the convergence requirement.
|- Score: 100/100 (aligned)
|- Receipt handle: rcpt_a8d31efae06e
|- Subject tree: 7d0b513dd256877d6bd309a6406468a9b1eaeedc
VERDICT WARN
The convergence score is the part a model cannot grade for itself: it compares the stated intent against the files the diff actually changed, and produces a receipt bound to the exact base, parent, and staged-tree identity.
The core
Three commands are the product. They call no model, open no socket, and read nothing outside the repository.
Nothing hosted is required, and nothing hosted can change a verdict. Local Core, Optional Hosted lists exactly what the optional pieces send, and where.
Supporting commands
Goal
Command
Rank change blast radius
solumbe impact . "add refund handling" --top 12
Score intent vs. execution
solumbe converge "add refunds" --path . --base HEAD --staged
Score a committed change exactly
solumbe converge "add refunds" --path . --base HEAD~1 --head HEAD
Published in the MCP Registry as io.github.BASHBOP/solumbe. Repo-map lookups use an external per-user cache and never write into the inspected repository. Host-specific setup for Claude Code, Claude Desktop, Codex, Cursor, VS Code, Gemini CLI, and Kimi Code is in MCP and Agent Workflows.
How it compares
Approach
Strengths
Where solumbe differs
Sourcegraph / Cody context
Powerful hosted code search and embedding-based context across an org
Local-first and deterministic: no server, no account, no code leaves the machine, and the same query always yields the same packet
Hand-written CLAUDE.md / rules files
Curated, intent-rich guidance
Hand-written context goes stale; solumbe regenerates context from the actual code (symbols, imports, routes, tests) on every run and complements a short CLAUDE.md
grep / ripgrep
Fast, universal text matching
solumbe ranks whole files by task intent across paths, symbols, exports, and tests, then adds patterns and validation commands, producing a context packet rather than a list of matching lines
Documentation
Full command reference, agent workflows, release process, evaluation method, and the design theses behind the trust layer:
git clone https://github.com/BASHBOP/solumbe.git
cd solumbe && npm ci && npm run ci
npm run ci is the full gate: format, lint, typecheck, version check, tests, coverage floors (70% lines / 60% branches / 75% functions), three evaluation corpora, dependency audit, and a packaged-tarball smoke test. Run it before requesting review.
Start with CONTRIBUTING.md and the Code of Conduct. All changes need maintainer review; main requires passing gates and resolved conversations. Solumbe follows Semantic Versioning, so say whether a PR is no-impact, patch, minor, or major.
Part of the toolchain
solumbe is one of four tools that form a deterministic trust layer for AI-assisted development. Each uses static analysis to answer a question people keep handing to an LLM.
solumbe (this tool), for context: what does this change actually touch?
tieline, for contracts: did the front end and back end quietly stop agreeing?
bouncer, for compliance: could you defend this to Ofcom?
aiglare, for governance: where can the model do something you can't undo?