MCP Tools
This server provides tools to obtain second opinions or answers from ChatGPT, Google Gemini, and DeepSeek. Each tool accepts a required context and an optional question; if no question is given, a general second opinion is returned. You can use them individually or combine all three for multi-model consultation, comparing agreements and disagreements. DeepSeek is typically the lowest latency option (~1.4s).
Enables getting AI second opinions from ChatGPT by asking questions about saved contexts, providing alternative perspectives on code, suggestions, and conversations
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Toolssave this code snippet for the authentication module"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Claude Toolz
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-toolzInstall only the ones you want — they are independent.
Related MCP server: LumenCore
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 |
| CLI |
| CLI default |
|
| CLI | authenticated on first run — no API key | CLI default |
|
| HTTP |
|
|
|
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 |
| ~1.4s |
| ~5.5s |
| ~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 calledWhen 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=deepseekThe 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 onlyOr 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@anthropicsDevelopment
git clone https://github.com/taylorleese/claude-toolz.git
cd claude-toolz
make install-devCommand | What it does |
| Run the test suite |
| Run all linters via pre-commit |
| Auto-format |
| Verify every plugin in |
| Refresh the local marketplace mirror and installed plugins |
| 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
Maintenance
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