Skip to main content

Advisor CLI

PyPI Python 3.10+ License: MIT

Get second opinions from alternative LLMs — Gemini, GPT, DeepSeek, Ollama, and more.

Why Advisor?

Using Claude but want a second opinion? Advisor lets you:

  • Validate decisions — ask GPT-4o or Gemini to review suggestions
  • Compare approaches — get parallel responses from multiple models
  • Specialize — use DeepSeek for reasoning, Groq for speed

Works standalone CLI or integrated directly into Claude Code (MCP + Skill).

Features

  • Multi-provider — Gemini, OpenAI, Anthropic, DeepSeek, Groq, Ollama
  • Claude Code integration — MCP tools + /advisor skill
  • Compare mode — parallel queries to multiple models
  • Async execution — background tasks for long queries
  • File input — pipe stdin or pass files directly
  • Caching — disk cache with configurable TTL

Quick Start

# Install
uv tool install advisor-cli
# or: pip install advisor-cli[all]

# Configure
advisor setup

# Install integrations (MCP + Skill for Claude Code)
advisor install

Installation

Recommended (uv):

curl -LsSf https://astral.sh/uv/install.sh | sh
uv tool install advisor-cli

Via pip:

pip install advisor-cli          # CLI only
pip install advisor-cli[mcp]     # + MCP server
pip install advisor-cli[wizard]  # + interactive wizard
pip install advisor-cli[all]     # everything

From source:

git clone https://github.com/Andreymi/advisor-cli
cd advisor-cli && uv sync --extra all

Configuration

Interactive wizard:

advisor setup

Environment variables (CI/scripts):

GEMINI_API_KEY=xxx OPENAI_API_KEY=xxx advisor setup -y

Config location: ~/.config/advisor/config.env

# View current configuration
advisor config show

# Set default models
advisor config single gemini/gemini-2.5-pro
advisor config compare "openai/gpt-4o,gemini/gemini-2.0-flash"

Usage

CLI Commands

# Single query
advisor ask "How to optimize this query?"
advisor ask "Review this code" -f mycode.py
cat code.py | advisor ask "Find bugs"

# Compare multiple models
advisor compare "Redis vs Memcached?"
advisor compare "Question" -m "openai/gpt-4o,gemini/gemini-2.0-flash"

# Async execution (background)
advisor compare "Deep analysis" --async
# => Task ID: abc123
advisor result abc123

# Status and models
advisor status
advisor models

Options:

  • -f FILE — add file as context
  • -m MODEL — specify model(s)
  • --format json|markdown — output format
  • --async — run in background

MCP Integration

Adds advisor_consult_expert and advisor_compare_experts tools to Claude.

# Install to Claude Code and Desktop
advisor mcp install

# Project-only or user-wide
advisor mcp install --scope project
advisor mcp install --scope user

# Status and uninstall
advisor mcp status
advisor mcp uninstall

MCP Tools:

advisor_consult_expert(
    query="Review for vulnerabilities",
    context="def get_user(id): ...",
    role="Senior Security Engineer"
)

advisor_compare_experts(
    query="Redis or Memcached?",
    models="gemini/gemini-2.0-flash,openai/gpt-4o"
)

Claude Code Skill

Adds /advisor command to Claude Code for quick second opinions.

# Install skill
advisor skill install

# Project-only or user-wide
advisor skill install --scope project
advisor skill install --scope user

# Status and uninstall
advisor skill status
advisor skill uninstall

Usage in Claude Code:

/advisor Review this authentication code for security issues
/advisor Is O(n²) acceptable here or should I optimize?

Unified Install

Install both MCP and Skill with one command:

advisor install                    # interactive
advisor install --scope project    # project only
advisor install --scope user       # user-wide
advisor install -y                 # non-interactive

Providers

Provider Example models API Key
Gemini gemini/gemini-2.0-flash, gemini-2.5-pro GEMINI_API_KEY
OpenAI openai/gpt-4o-mini, gpt-4o OPENAI_API_KEY
Anthropic anthropic/claude-3-5-haiku ANTHROPIC_API_KEY
DeepSeek deepseek/deepseek-chat DEEPSEEK_API_KEY
Groq groq/llama-3.3-70b-versatile GROQ_API_KEY
OpenRouter openrouter/google/gemini-2.0-flash OPENROUTER_API_KEY
Ollama ollama/llama3.2 (local) OLLAMA_HOST

Examples

Code Review

git diff | advisor ask "Review changes"
advisor ask "Find vulnerabilities" -f api.py

Architecture Decisions

advisor compare "Rust vs Go for microservice"
advisor ask "Is there a better solution than O(n²)?" -f algo.py

Specialized Roles

# Security audit
ADVISOR_DEFAULT_ROLE="Senior Security Engineer" advisor ask "Review" -f code.py

# Performance analysis
advisor ask "Find bottlenecks" -f slow_query.sql -m deepseek/deepseek-reasoner
Task Recommended Role
Security "Senior Security Engineer. Find vulnerabilities."
Architecture "Solution Architect. Evaluate scalability."
Performance "Performance Engineer. Find bottlenecks."
Database "DBA. Evaluate schema and queries."

Cleanup

advisor config purge   # remove API keys only
advisor uninstall      # remove all data (config + cache)

License

MIT

Metadata

Release files for advisor-cli 0.2.11

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for advisor-cli 0.2.11
File Size Uploaded Provenance
advisor_cli-0.2.11.tar.gz 38.2 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for advisor-cli 0.2.11
File Interpreter ABI Platform
advisor_cli-0.2.11-py3-none-any.whl Python 3 none any Details

Total release size: 85.7 kB

Release files / advisor_cli-0.2.11.tar.gz

Download URL advisor_cli-0.2.11.tar.gz
Size 38.2 kB
Tags Source
SHA-256 checksum
How to use checksums
842bfc96cd4d971fca7ec5eace73ef63fc3d1617f4447dba465dbd43afd5ae55
BLAKE2b-256 checksum
How to use checksums
39c01aadb64e9a6e4e6151dc68aaaaabb241da4e2c0e6caf235075c0683c3486
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.11

Release files / advisor_cli-0.2.11-py3-none-any.whl

Download URL advisor_cli-0.2.11-py3-none-any.whl
Size 47.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3a77342279bce58da12f0b8bfc631f883a219ed0ecdd4203146480a92c939bab
BLAKE2b-256 checksum
How to use checksums
bdcbda5504fca4e693db38246ff911de9db2c1266dcc4ff44a228287785a7b3c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.11

Security for advisor-cli 0.2.11

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page