MCP.Market

Agentmako MCP server

by drhalto·io.github.drhalto/agentmako·v0.2.3·52 stars

Local-first codebase intelligence MCP server for AI coding agents.

A88/100grade A
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Safety scan
A88/100

full report

Adoption
Growing

52 stars146 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Agentmako tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan299 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 63 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 88/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Agentmako compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
88/100
higher than 75% of 48,255 servers
GitHub stars
52
more than 94% of 28,688 servers
Downloads a week
146
more than 70% of 12,191 servers with a package

Install Agentmako in Claude Code, Cursor or VS Code

Runs npx -y agentmako on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add agentmako -- npx -y agentmako
Add to Cursor

What the publisher says

From the Agentmako repository's README, as published. We do not edit it. Read it on GitHub

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

diagnostics, instructions, freshness, and literal checks

  • MCP server for coding agents: agentmako mcp
  • Local dashboard: agentmako dashboard
  • Primary project query: reef_ask across code, database, findings,

and local-state mutations

  • 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,

livetextsearch, lintfiles, and toolbatch

  • Compact loop/fallback tools: reefstatus, reefverify, reef_impact,

working-tree, and staged state

  • Reef Engine facts and findings across indexed,

paths, route patterns, and schema usage

  • Reef convention extraction for auth guards, runtime boundaries, generated

cross-file helper-bypass rules via canonicalHelper

  • TypeScript, ESLint, Oxlint, Biome, and staged git diagnostic ingestion
  • Hot-reloaded .mako/rules YAML rule packs, including primitive

publications, subscriptions, and replication

  • Optional Postgres/Supabase schema snapshots and read-only DB inspection
  • Local DB review comments for notes on tables, RLS, triggers,
  • 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.

npm install -g agentmako

Confirm the CLI is available:

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 at the bottom of this

file.

Happy Path Setup

1. Attach your real project

Go to the project you want Mako to understand:

cd C:/path/to/your/project

Attach and index it:

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

agentmako status .
agentmako tool list

Run a real Reef query:

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.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Agentmako: common questions

Is Agentmako MCP server safe?
Yes, by our scan: it is graded A (88/100). Read the Agentmako safety report
How do I install Agentmako?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Agentmako need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Agentmako maintained?
The last commit was 101 days ago (2026-07-26). The latest release is v0.2.3.
How does Agentmako compare with other MCP servers?
safety score 88/100 (higher than 75% of 48,255 servers); github stars 52 (more than 94% of 28,688 servers); downloads a week 146 (more than 70% of 12,191 servers with a package). Full comparison.