mako-ai
Project intelligence skills for Claude Code. Teaches Claude when to use Mako's MCP tools (context packets, code and schema search, diagnosti
Open source Open in the app JSON README (API)
About
Project intelligence skills for Claude Code. Teaches Claude when to use Mako's MCP tools (context packets, code and schema search, diagnostics, RLS audits) instead of grep-walking the repo. Pairs with the agentmako CLI/MCP server (npm install -g agentmako).
Details
- Kind
- Plugins
- Topic
- Developer tools
- Publisher
- drhalto
- Origin
- marketplace
- Category
- ferramentas
- Stars
- 52
- Forks
- 4
- Open pull requests
- 3
- Last push
- 2026-07-26T21:36:48Z
- Repository state
- ativo
- Language
- TypeScript
- License
- Apache-2.0
- Added
- 2026-08-30 01:48:58
- Updated
- 2026-08-30 01:48:58
- Origin id
drhalto/agentmako/mako-ai
README
<p align="center">
<img src="apps/web/public/agentmako.png" alt="agentmako logo" width="180" />
</p>
# agentmako
[](https://www.npmjs.com/package/agentmako)
[](https://github.com/drhalto/agentmako/actions/workflows/smoke.yml)
[](./LICENSE)
[](https://nodejs.org/)
[](https://glama.ai/mcp/servers/drhalto/agentmako)
agentmako is a local-first codebase intelligence engine for AI coding
tools.
It gives agents like Codex, Claude Code, Cursor, and local harnesses a
compact Reef-first tool surface for understanding a project before they edit
it. Mako indexes your repo, builds local SQLite-backed facts, tracks
diagnostics and review notes, and answers evidence-backed questions instead of
making the agent orchestrate broad tool chains or rediscover everything with
raw grep.
Mako is built for the first mile of coding-agent work:
> What files matter? What routes, symbols, tables, diagnostics, and prior
> findings are relevant? What should the agent read next?
## What You Get
- MCP server for coding agents: `agentmako mcp`
- Local dashboard: `agentmako dashboard`
- Primary project query: `reef_ask` across code, database, findings,
diagnostics, instructions, freshness, and literal checks
- Queryable workflow orientation: `mako_help`
- Deterministic context expansion: `context_packet`
- `_hints` on tool results so agents get result-specific next steps
- Central MCP annotations so clients can distinguish safe reads, live reads,
and local-state mutations
- Compact loop/fallback tools: `reef_status`, `reef_verify`, `reef_impact`,
`live_text_search`, `lint_files`, and `tool_batch`
- [Reef Engine](./docs/reef-engine.md) facts and findings across indexed,
working-tree, and staged state
- Reef convention extraction for auth guards, runtime boundaries, generated
paths, route patterns, and schema usage
- TypeScript, ESLint, Oxlint, Biome, and staged git diagnostic ingestion
- Hot-reloaded `.mako/rules` YAML rule packs, including primitive
cross-file helper-bypass rules via `canonicalHelper`
- Optional Postgres/Supabase schema snapshots and read-only DB inspection
- Local DB review comments for notes on tables, RLS, triggers,
publications, subscriptions, and replication
- Recall, acknowledgements, and agent feedback for repeated review work
Everything important runs locally. No hosted service is required.
## Install
Requires **Node.js 20 or newer**.
```bash
npm install -g agentmako
```
Confirm the CLI is available:
```bash
agentmako --version
agentmako doctor
```
You should see green checks for configuration and the local API service.
> Prefer to build from source (e.g. to contribute)? See
> [Develop From Source](#develop-from-source) at the bottom of this
> file.
## Happy Path Setup
### 1. Attach your real project
Go to the project you want Mako to understand:
```bash
cd C:/path/to/your/project
```
Attach and index it:
```bash
agentmako connect . --no-db
```
Use `--no-db` for the first run. It gets the code intelligence path
working before adding database scope.
### 2. Confirm Mako sees the project
```bash
agentmako status .
agentmako tool list
```
Run a real Reef query:
```bash
agentmako --json tool call . reef_ask "{\"question\":\"where should I inspect auth route state?\"}"
```
If that returns an evidence-backed answer, facts, findings, or next queries,
the core setup is working.
`reef_ask` plans over code, database, durable findings, diagnostics, and exact
literal evidence. App-flow questions favor file, route, and finding evidence;
RLS/schema questions favor database facts and review comments. To inspect
project rules of thumb directly:
```bash
agentmako --json tool call . project_conventions "{}"
```
### 3. Configure your MCP client
Add this to your MCP client config:
```json
{
"mcpServers": {
"mako-ai": {
"command": "agentmako",
"args": ["mcp"]
}
}
}
```
Restart the MCP client and confirm the `mako-ai` server starts.
In the agent, default to `reef_ask`. The compact starting surface is:
- `reef_ask` for project questions across code, database, findings,
diagnostics, freshness, and quoted literal checks
- `reef_status` for maintained issues, changed files, stale diagnostics, and
watcher/schema health
- `reef_verify` for the completion gate over diagnostic freshness and open loops
- `reef_impact` for changed-file blast radius and convention risks
- `mako_help` for an ordered workflow recipe with prefilled arguments
- `live_text_search` for exact current-disk regex/glob inventories
- `lint_files` for bounded diagnostics and `.mako/rules` findings
- `tool_batch` for independent read-only follow-ups
- `tool_search` to discover specialized route, graph, DB, finding, refresh, or
context-expansion tools only when the compact surface points at a concrete
need
### 4. Optional: use an agent plugin
Plain MCP works anywhere, but the bundled plugins add Mako-specific skills and
include the same `agentmako mcp` wiring.
Prerequisites:
- Claude Code installed
- Node.js 20+ on `PATH` (the plugin runs `npx -y agentmako mcp`, which fetches
the published `agentmako` package automatically — no separate global install
required)
- Your target project already attached with `agentmako connect`
Claude Code stable path:
```powershell
claude plugin validate .\mako-ai-claude-plugin
claude --plugin-dir .\mako-ai-claude-plugin
```
New generated plugin layouts:
```bash
claude plugin validate ./plugins/claude-code
codex marketplace add ./plugins
ln -s "$(pwd)/plugins/cursor" ~/.cursor/plugins/local/mako-ai
gemini extensions install ./plugins/gemini
```
Inside the agent, confirm the `mako-ai` MCP server is connected.
The plugin exposes these skills:
- `/mako-ai:mako-guide`
- `/mako-ai:mako-discovery`
- `/mako-ai:mako-trace`
- `/mako-ai:mako-neighborhoods`
- `/mako-ai:mako-graph`
- `/mako-ai:mako-database`
- `/mako-ai:mako-code-intel`
- `/mako-ai:mako-workflow`
Use the plugin when you want Claude Code to load Mako-specific guidance for
which tools to call and how to interpret their results.
### 5. Optional: launch the dashboard
From your target project:
```bash
agentmako dashboard .
```
This starts the local API, harness service, and web dashboard.
### 6. Optional: add Supabase/Postgres awareness
Mako works without a database. Add this only after code intelligence is
working.
For a one-time interactive setup:
```bash
agentmako connect .
```
For CI or scripted setup using an environment variable:
```bash
set DATABASE_URL=postgres://...
agentmako connect . --db-env DATABASE_URL --yes
```
Then refresh and verify the local schema snapshot:
```bash
agentmako refresh .
agentmako verify .
```
Interactive mode stores database secrets in your OS keychain by default.
Project config stores references, not plaintext DB URLs.
## Normal Daily Loop
From the target project:
```bash
agentmako status .
agentmako dashboard .
agentmako --json tool call . context_packet "{\"query\":\"fix the broken auth callback route\"}"
```
For staged review checks:
```bash
agentmako git precommit . --json
```
For database review notes:
```bash
agentmako --json tool call . db_review_comment "{\"objectType\":\"replication\",\"objectName\":\"supabase_database_replication\",\"category\":\"review\",\"comment\":\"Check publication coverage before relying on realtime events.\",\"tags\":[\"supabase\",\"replication\"]}"
```
## Develop From Source
If you want to hack on Mako itself, clone and build instead of installing
from npm.
Prerequisites:
- Node.js 20 or newer
- Git
- Corepack (`corepack enable`, included with modern Node.js)
```bash
git clone https://github.com/drhalto/agentmako.git
cd agentmako
corepack pnpm install
corepack pnpm run build
npm link ./apps/cli
```
`npm link ./apps/cli` makes the source-built CLI available as
`agentmako` on your `PATH`, replacing any global npm install. Re-run
`corepack pnpm run build` after pulling changes.
To go back to the published version: `npm install -g agentmako`.
### Development Checks
```bash
corepack pnpm run typecheck
corepack pnpm run build
corepack pnpm run test:smoke:reef-tooling
corepack pnpm run test:smoke:reef-model-facing-views
```
Full verification:
```bash
corepack pnpm test
```
## Repository Layout
```text
apps/
cli/ agentmako CLI and MCP entrypoint (the published package)
web/ local dashboard
packages/
contracts/ public TypeScript contracts and tool schemas
config/ shared config helpers
logger/ shared logger
sdk/ programmatic SDK
store/ SQLite stores, migrations, and query helpers
tools/ shared tool implementations
harness-core/ local agent harness runtime
harness-tools/ action tools available to the harness
harness-contracts/ harness contracts and provider catalog
services/
api/ local API and MCP transports
engine/ Reef Engine fact/finding pipeline
harness/ local harness HTTP service
indexer/ repo and schema indexing logic
worker/ background worker
extensions/ provider and integration packages
storage/ schema migrations, models, queries
test/smoke/ smoke coverage
mako-ai-claude-plugin/ Claude Code plugin with Mako skills
```
## More Docs
- [Tool overview](./TOOLS.md)
- [CLI docs](./apps/cli/README.md)
- [Reef Engine](./docs/reef-engine.md)
- [Tool annotations](./docs/tool-annotations.md)
- [Write tool convention](./docs/write-tool-convention.md)
- [Claude Code plugin](./mako-ai-claude-plugin/README.md)
- [Agent guidance to paste into CLAUDE.md / AGENTS.md](./AGENTS.md)
- [Contributing](./CONTRIBUTING.md)
- [Security policy](./SECURITY.md)
- [Changelog](./CHANGELOG.md)
## License
Apache-2.0. See [LICENSE](./LICENSE).