Consult LLM FAQs

Question 1

How does Consult LLM provide context to the AI models?

Accepted Answer

It automatically constructs prompts from markdown and code files. Additionally, it can integrate Git diff output to feed recent code changes as context, ensuring the AI has the most relevant information for its analysis.

Question 2

Can I track my AI usage and costs with Consult LLM?

Accepted Answer

Yes, Consult LLM includes built-in usage tracking with cost estimation. It also provides comprehensive logging of all prompts, responses, and token usage, helping you monitor and manage your expenditures effectively.

Question 3

How do I integrate Consult LLM with Claude Code?

Accepted Answer

Consult LLM can be easily added to Claude Code as an MCP server using a simple command like `claude mcp add consult-llm -- npx -y consult-llm-mcp`, allowing for seamless integration into your existing development workflow.

Question 4

Which AI models does Consult LLM support?

Accepted Answer

It currently supports OpenAI's o3, Google's Gemini 2.5 Pro, and DeepSeek's DeepSeek Reasoner, providing users with a range of powerful options for their AI consultations.

Question 5

What is Consult LLM?

Accepted Answer

Consult LLM is an MCP server that allows Claude Code to consult powerful external AI models (like o3, Gemini 2.5 Pro, and DeepSeek Reasoner) for deeper analysis and problem-solving on complex programming tasks.

Consult LLM

Consult LLM

主要功能

使用案例

主要功能

使用案例