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Starlog

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Local capability index so AI coding agents pick libraries by fit, not popularity. No account.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "starlog": {
      "command": "npx",
      "args": [
        "-y",
        "starlog"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Starlog

Starlog

Vet a package before your AI coding agent uses it β€” authoritative facts (CVEs, license, maintenance), free, local, no account.

npm version CI License: BUSL-1.1 MCP server

An AI coding agent vetting a package through the Starlog MCP server β€” pulling its known incidents, license, and maintenance before using it

Vet a package in one command β€” nothing to install, no API key, no account:

Terminal
npx starloghq facts ua-parser-js

Then wire it into your coding agent (Claude Code, Cursor, Copilot, Codex):

Terminal
npx starloghq init

Source-available under BUSL-1.1 β€” free to use, modify, and self-host; converts to Apache-2.0 in 2030. Details ↓


Why

AI coding agents (Claude Code, Cursor, Copilot) pick libraries from training recall β€” a snapshot of scraped code, frozen at a cutoff date and ranked by how often an option appeared, not by what fits your task or what's safe now. That recall can't know about a CVE disclosed last week, and it has never seen your company's internal libraries. The agent recommends anyway, with the same confidence either way.

The failure modes are measurable: research finds ~49% of AI-suggested dependencies carry known vulnerabilities and ~34% are hallucinated outright β€” the package doesn't exist. And for whole categories β€” most dangerously auth β€” agents default to hand-rolling custom code instead of reaching for a vetted library.

You can't fix recall by prompting harder. Starlog puts authoritative, dated facts in front of your agent at decision time. Its hero surface is vetting by name β€” starlog facts <package> returns known CVEs/incidents, SPDX license + risk, and maintenance status (or an honest "no facts on file") β€” so the install/avoid/pick call rides on facts, not recall. It runs entirely on your machine as an MCP server and a package-install hook, no API key, no sign-up. A companion starlog_search finds candidate packages for a capability; facts vet the pick.

Does it actually change what the agent decides? Yes β€” measured before/after, on the venue that matters (private libraries and post-cutoff advisories). β†’ the validated result.

What you get

  • starlog_facts MCP tool β€” your agent looks up authoritative facts about a specific package before recommending it: known CVEs/supply-chain incidents, SPDX license and license risk, maintenance status (active/deprecated/abandoned/compromised), and effect surface. In a 4-model benchmark, agents called this tool unprompted on package decisions (100% recall, 98% specificity) and it moved them toward the correct install/avoid/pick call. Every record is sourced, verified, and dated β€” each result shows an "as of <date>" line so a stale "no known vulns" is never mistaken for a fresh one. A package with no record returns an honest "no facts on file." Facts are three independent layers, composed at query time: L1 capability/effect-surface (immutable), L2 reputation/vuln/license/maintenance (mutable β€” carries the as of recency), L3 org policy (your suitability verdict). Override or extend any layer locally: point STARLOG_PRIVATE_FACTS at a JSON file with independent l1/l2 arrays (internal packages, license rulings) and STARLOG_POLICY at an org policy ({ org, rules }) for allow/deny/flag verdicts. With STARLOG_API_KEY set, org-private overlays and policy come from the hosted facts API (local corpus is the offline fallback); starlog facts push uploads your org's overlays + policy. See docs/FACTS-CONTRACT.md.
  • Package-install hook β€” fires the moment your agent runs npm install / pnpm add / yarn add / pip install and surfaces that package's facts (known incidents, license, maintenance) before the agent builds on it. Advisory β€” it informs the next move, it doesn't block the install. Packages with no record are queued for coverage.
  • starlog_search MCP tool β€” discovery: find candidate packages for a capability (org-sanctioned options first), then vet the named pick with starlog_facts. Discovery surfaces what exists; facts vet it.
  • starlog_advise MCP tool β€” when your agent sees DIY or repeated capability code, advises MIGRATE to a safe library (e.g. Clerk/Auth0/Supabase over DIY auth) or PACKAGEIZE only when no safe corpus alternative exists. Tracks patterns in .starlog/patterns.json.
  • starlog facts / starlog search / starlog advise / starlog patterns CLI β€” the same facts, discovery, and migrate-or-packageize advisories from your terminal.
  • Runs on your machine β€” the engine and corpus are local; the default (keyless) path needs no account, no API key, and no network. Setting STARLOG_API_KEY opts into the hosted facts/search tiers (with local fallback) β€” get a key at starlog.dev and wire it with starlog init --api-key <key>; anonymous, opt-out usage telemetry is the only thing sent otherwise β€” see Telemetry.

This repo ships the engine plus a curated facts corpus and a discovery corpus of 26 capability manifests across 7 categories (including authentication playbooks for migration).

Quick start

Terminal
npx starloghq init

This wires Starlog into Claude Code (and drops instruction files for Cursor, Copilot, Codex):

  • MCP server added to ~/.claude/settings.json β€” exposes starlog_facts (vet a package by name), starlog_search (discover candidates), and starlog_advise (migrate-or-packageize for DIY patterns), and wires your per-project private overlays (${CLAUDE_PROJECT_DIR}/.starlog/*) into the agent so internal-package facts + discovery work automatically in each project
  • PostToolUse hook installed β€” surfaces a package's facts on install
  • Previews every change and asks before writing; idempotent and safe to re-run

Prefer a bare starlog command over typing npx? Install it globally:

Terminal
npm install -g starloghq
starlog init

If starlog then reports command not found, your npm global bin directory isn't on your PATH (a common npm setup gap β€” not a Starlog issue). Either run export PATH="$(npm prefix -g)/bin:$PATH" (add it to your shell profile to persist), or just keep using npx starloghq init / npx starloghq facts <pkg>, which always work without any PATH setup. If the install itself printed an EACCES/permission error, it didn't complete β€” fix your npm prefix or use npx.

Add --project to also drop Starlog guidance into your project's CLAUDE.md; preview without writing, or remove cleanly:

bash
starlog init --project
starlog init --dry-run
starlog init --uninstall

Onboard a whole org at once

Don't hand-author facts for every internal repo β€” point Starlog at a directory of checkouts and it derives them in one pass:

bash
starlog org sync ~/code/my-org

For each published package it finds (npm package.json and Python pyproject.toml), it derives:

  • L2 facts β†’ .starlog/private-facts.json β€” license + license risk (from the manifest, or detected from the LICENSE file), maintenance from git last-commit recency, stamped source: analyzer with a dated as of. Your agent vets these by name.
  • Discovery corpus β†’ .starlog/private-corpus.json β€” captures each manifest's description + keywords so your agent can find internal packages by capability via starlog_search, not just vet them by name.
  • Suggested policy β†’ .starlog/policy.suggested.json β€” flag candidates (e.g. strong-copyleft, no declared license) derived from the signals. These are proposals the agent does not read β€” review them, then adopt the ones you trust with starlog facts policy <pkg> flag.

Source never leaves your machine; only derived facts are written. Re-run anytime to refresh (it merges over existing facts and regenerates suggestions). Repos with no published name β€” or no description β€” are reported, never fabricated. Known-vulnerability scanning and remote GitHub-org enumeration are on the roadmap.

From source

bash
git clone https://github.com/starloghq/index.git starlog-index
cd starlog-index && npm install
npx tsx src/cli.ts facts ua-parser-js

Manual MCP setup

starlog init writes this for you automatically. To configure by hand, add to ~/.claude/settings.json:

config.json
{
  "mcpServers": {
    "starlog": {
      "command": "npx",
      "args": ["-y", "starloghq", "mcp"]
    }
  }
}

This is the same launch command MCP registries use. (From a local source clone instead, point node at dist/mcp.js β€” $(npm root -g)/starloghq/dist/mcp.js for a global install, or your clone's path.) The server exposes two tools: starlog_facts (an authoritative per-package fact lookup β€” CVEs, license, maintenance) and starlog_search (a natural-language capability query with optional category, stack, and top_k filters).

CLI usage

Vet a package by name β€” the hero. Local, no key, no network:

bash
starlog facts ua-parser-js

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Starlog

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "starlog": { "command": "npx", "args": ["-y", "starlog"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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