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MCP Toolz

Claude Code plugins for LLM second opinions, security triage, documentation upkeep, and pre-commit setup.

Unclaimed MIT devtools
59Fair

Scored 5 days ago · breakdown

About MCP Toolz

MCP Toolz is an MCP server published by taylorleese in the Developer Tools category: claude Code plugins for LLM second opinions, security triage, documentation upkeep, and pre-commit setup.

The repository has 3 stars and 0 forks, with the last commit 2 months ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/taylorleese/claude-toolz

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

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Ask AI about MCP Toolz

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I know everything about MCP Toolz. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 5 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

1 check has not been run yet.

Releases

v0.6.1v0.6.1 · 13 May 2026Final release of the `mcp-toolz` Python package. This repository is now a Claude Code plugin marketplace (`claude-toolz`). There is no package to install — see the README. The PyPI…
v0.6.0v0.6.0 · 7 May 2026What's Changed fix: resolve GitHub security alerts by @taylorleese in https://github.com/taylorleese/mcp-toolz/pull/121 fix: resolve GitHub security alerts by @taylorleese in https://github.com/taylorleese/mcp-toolz/pull/123 ci: add weekly…
v0.5.1v0.5.1 · 7 Apr 2026What's Changed fix: resolve GitHub security alerts by @taylorleese in https://github.com/taylorleese/mcp-toolz/pull/120 Full Changelog: https://github.com/taylorleese/mcp-toolz/compare/v0.5.0...v0.5.1
v0.5.0v0.5.0 · 24 Mar 2026What's Changed Bump black from 26.3.0 to 26.3.1 in the pip group across 1 directory by @dependabot[bot] in https://github.com/taylorleese/mcp-toolz/pull/112 deps(deps): bump the github-actions group with 6 updates by @dependabot[bot] in…
v0.4.0v0.4.0 · 11 Mar 2026What's Changed deps(deps): bump python from `adb6bdf` to `f0540d0` by @dependabot[bot] in https://github.com/taylorleese/mcp-toolz/pull/93 deps(deps): bump debian from `56ff6d3` to `98f4b71` by @dependabot[bot] in…

README

Claude Toolz

CI GitHub last commit pre-commit

A Claude Code plugin marketplace: four plugins for second opinions, security triage, docs upkeep, and pre-commit setup.

Nothing here needs to be installed from a package index. The plugins are markdown, shell, and one standard-library Python script.

Install

/plugin marketplace add taylorleese/claude-toolz
/plugin install ask-llm@claude-toolz
/plugin install precommit-detect@claude-toolz
/plugin install resolve-github-alerts@claude-toolz
/plugin install revise-all-docs@claude-toolz

Install only the ones you want — they are independent.

Plugins

ask-llm

Gets a second opinion from a non-Claude frontier model: Codex (OpenAI's coding agent), Antigravity (Google's coding agent), or DeepSeek.

Two ways in. Ask in plain language — "ask Codex what it thinks of this schema", "get a second opinion on this plan", "what would another model say about this bug" — and Claude invokes the skill. Or drive it explicitly:

/ask-llm codex is this migration reversible?
/ask-llm all which caching strategy would you pick here?
/ask-llm does this error handling miss anything?

The first word selects the provider when it is codex, agy, deepseek, or all; otherwise the whole argument is the question and it defaults to Codex. all runs all three concurrently — OpenAI, Google, and DeepSeek — and summarizes where they agree and disagree.

Providers come in two flavors. CLI providers drive a locally installed agent that authenticates with your own subscription, so there is no API key to manage at all. HTTP providers call a REST endpoint and need a key exported in the shell profile Claude Code inherits (~/.zshrc, ~/.bashrc).

Provider Transport Auth Default model Model override
codex CLI codex login — no API key CLI default ASK_LLM_CODEX_MODEL
agy CLI authenticated on first run — no API key CLI default ASK_LLM_AGY_MODEL
deepseek HTTP DEEPSEEK_API_KEY deepseek-chat ASK_LLM_DEEPSEEK_MODEL

codex is the best default: no key to manage, a coding agent rather than a raw chat model, and it runs in a read-only sandbox so it cannot touch your working tree. agy is its Google counterpart and the best partner for a cross-vendor check.

Measured on a trivial prompt, the split is roughly:

Provider Latency
deepseek ~1.4s
codex ~5.5s
agy ~6.4s

The CLI agents reason before answering; that is the cost of depth and of needing no API key. Reach for deepseek when you want an answer immediately.

One constraint on agy: it ignores stdin, so context rides in the command-line argument and is capped at 256 KB. Larger contexts are refused with a clear error and should go to codex, which reads stdin and has no such limit.

Checking readiness

/ask-llm status prints what is actually usable on this machine — no model call, so it costs nothing:

PROVIDER    TRANSPORT  STATE     DETAIL
deepseek    http       ready     DEEPSEEK_API_KEY is set
codex       cli        ready     Logged in using ChatGPT
agy         cli        unknown   installed; no status command, auth verified only when called

When a CLI provider's session has lapsed it reports unauthenticated along with the exact command to run. Logins are interactive, so the script never tries to drive one itself — it names the command and Claude relays it.

Turning a provider off

Set ASK_LLM_DISABLED_PROVIDERS to a comma-separated list to hide providers you cannot use, so they are never picked and never surface an error:

export ASK_LLM_DISABLED_PROVIDERS=deepseek

The script uses only the Python standard library — nothing to install and no dependency to keep patched.

precommit-detect

Read-only check for pre-commit setup state. Registers SessionStart and PostToolUse:EnterWorktree hooks that detect whether the current repo's .pre-commit-config.yaml is wired up — pre-commit binary present, .git/hooks/pre-commit installed, Docker daemon reachable when the config requires it. When something is missing, the hook surfaces the gap as additionalContext so Claude can walk you through approval-gated installs (one prompt per missing item — never auto-installs).

resolve-github-alerts

Triages and resolves GitHub security alerts (Dependabot, code scanning, secret scanning) across pip / pip-tools / poetry / uv / npm / yarn / pnpm / cargo / go-modules / Docker / GitHub Actions ecosystems. Run it in any repo to:

  • Fix failing Dependabot PRs (lint/test issues)
  • Bump vulnerable dependencies and recompile lockfiles
  • Remediate code scanning and secret scanning alerts
  • Submit a single PR with all fixes for manual review

Auto-detects the project's verify commands (Makefile targets, pre-commit, ruff, pytest, npm scripts) — no per-project configuration required.

Two ways in, same as ask-llm. Run it explicitly, optionally narrowing the scope:

/resolve-github-alerts
/resolve-github-alerts dependabot only

Or just ask — "fix the security alerts on this repo", "clean up the failing Dependabot PRs" — and Claude invokes the skill. Because it creates a branch and opens a pull request, the skill is written to trigger only on a clear request to remediate, not when you are merely asking what the alerts are.

revise-all-docs

Two ways to keep CLAUDE.md, README.md, and docs/**/*.md in sync — pick by intent.

/revise-all-docs — "I just finished some work. Capture what we learned."

Reads the current conversation, pulls out commands discovered, gotchas hit, and patterns enforced, and proposes additions to the right doc file for each finding (project-internal context → CLAUDE.md, user-facing onboarding → README.md, deeper how-to → docs/). Run this at the end of a session that uncovered something worth recording.

/improve-all-docs — "Forget the session. Audit the docs as they stand today."

Statically scans every doc file, scores each against type-appropriate rubrics (install steps actually work? public command/API surface complete? versions and paths current? intra-doc links resolve? duplicated content?), then proposes targeted fixes — including deletions of stale or duplicated content, not just additions. Run this during cleanup passes, before a release, or when docs feel out of sync with the code.

The all-docs-improver skill is the same audit auto-invoked when you ask in plain language ("are my docs up to date?", "check the README and docs"). The slash command is explicit; the skill is hands-free.

Required dependency

Both surfaces delegate CLAUDE.md work to the official claude-md-management plugin:

/plugin install claude-md-management@anthropics

Development

git clone https://github.com/taylorleese/claude-toolz.git
cd claude-toolz
make install-dev
Command What it does
make test Run the test suite
make lint Run all linters via pre-commit
make format Auto-format
make check-plugins Verify every plugin in marketplace.json resolves on disk
make refresh-plugins Refresh the local marketplace mirror and installed plugins
make all format + lint + test

Releasing a plugin change

There is no package to publish. Bump version in the plugin's .claude-plugin/plugin.json, merge to main, then run make refresh-plugins. Claude Code keys its install cache by version, so skipping the bump makes the update a silent no-op.

Repository layout

claude-toolz/
├── .claude-plugin/
│   └── marketplace.json          # the four plugins advertised to Claude Code
├── plugins/
│   ├── ask-llm/
│   ├── precommit-detect/
│   ├── resolve-github-alerts/
│   └── revise-all-docs/
├── scripts/
│   └── check_plugins.py          # marketplace manifest validator
└── tests/

License

MIT

README fetched from the repository 5 days ago. The original is authoritative.

Questions

About MCP Toolz

How do I install MCP Toolz?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is MCP Toolz safe to use with an AI agent?

Its trust score is 59 out of 100 (fair). It passes 3 of the 5 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is MCP Toolz still maintained?

Yes — the latest release is v0.6.1 (13 May 2026), and the last commit was 2 months ago. The repository has 3 stars.