Ask LLM

Package	Type	Version	Downloads
ask-gemini-mcp	MCP Server
ask-codex-mcp	MCP Server
ask-ollama-mcp	MCP Server
ask-llm-mcp	MCP Server
@ask-llm/plugin	Claude Code Plugin		/plugin install

MCP servers + Claude Code plugin for AI-to-AI collaboration

MCP servers that bridge your AI client with multiple LLM providers for AI-to-AI collaboration. Works with Claude Code, Claude Desktop, Cursor, Warp, Copilot, and 40+ other MCP clients. Leverage Gemini's 1M+ token context, Codex's GPT-5.4, or local Ollama models — all via standard MCP.

Why?

• Get a second opinion — Ask another AI to review your coding approach before committing
• Debate plans — Send architecture proposals for critique and alternative suggestions
• Review changes — Have multiple AIs analyze diffs to catch issues your primary AI might miss
• Massive context — Gemini reads entire codebases (1M+ tokens) that would overflow other models
• Local & private — Use Ollama for reviews where no data leaves your machine

Quick Start

Claude Code

# Individual providers
claude mcp add --scope user gemini -- npx -y ask-gemini-mcp
claude mcp add --scope user codex -- npx -y ask-codex-mcp
claude mcp add --scope user ollama -- npx -y ask-ollama-mcp

# Or all-in-one (auto-detects installed providers)
claude mcp add --scope user ask-llm -- npx -y ask-llm-mcp

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "gemini": {
      "command": "npx",
      "args": ["-y", "ask-gemini-mcp"]
    },
    "codex": {
      "command": "npx",
      "args": ["-y", "ask-codex-mcp"]
    },
    "ollama": {
      "command": "npx",
      "args": ["-y", "ask-ollama-mcp"]
    }
  }
}

Cursor (.cursor/mcp.json):

{
  "mcpServers": {
    "gemini": { "command": "npx", "args": ["-y", "ask-gemini-mcp"] }
  }
}

Codex CLI (~/.codex/config.toml):

[mcp_servers.gemini]
command = "npx"
args = ["-y", "ask-gemini-mcp"]

Any MCP Client (STDIO transport):

{ "command": "npx", "args": ["-y", "ask-gemini-mcp"] }

Replace ask-gemini-mcp with ask-codex-mcp, ask-ollama-mcp, or ask-llm-mcp as needed.

Claude Code Plugin

The Ask LLM plugin adds multi-provider code review, brainstorming, and automated hooks directly into Claude Code:

/plugin marketplace add Lykhoyda/ask-llm
/plugin install ask-llm@ask-llm-plugins

What You Get

The review agents use a 4-phase pipeline inspired by Anthropic's code-review plugin: context gathering, prompt construction with explicit false-positive exclusions, synthesis, and source-level validation of each finding.

See the plugin docs for details.

Prerequisites

• Node.js v20.0.0 or higher (LTS)
• At least one provider:
  • Gemini CLI — npm install -g @google/gemini-cli && gemini login
  • Codex CLI — installed and authenticated
  • Ollama — running locally with a model pulled (ollama pull qwen2.5-coder:7b)

MCP Tools

Usage Examples

ask gemini to review the changes in @src/auth.ts for security issues
ask codex to suggest a better algorithm for @src/sort.ts
ask ollama to explain @src/config.ts (runs locally, no data sent anywhere)
use gemini to summarize @. the current directory

Models

All providers automatically fall back to a lighter model on errors.

Documentation

• Docs site: lykhoyda.github.io/ask-llm
• AI-readable: llms.txt | llms-full.txt

Contributing

Contributions are welcome! See open issues for things to work on.

License

MIT License. See LICENSE for details.

Disclaimer: This is an unofficial, third-party tool and is not affiliated with, endorsed, or sponsored by Google or OpenAI.