consult_llm

consult_llm

Analyze complex problems, review code, or implement solutions by consulting advanced AI models. Submit markdown files for prompts and include relevant code files for context to get tailored responses.

Instructions

Ask a more powerful AI for help with complex problems. Write your problem description in a markdown file and pass relevant code files as context.

Be specific about what you want: code implementation, code review, bug analysis, architecture advice, etc.

Input Schema

Name	Required	Description	Default
`files`	Yes	Array of file paths to process. Markdown files (.md) become the main prompt, other files are added as context with file paths and code blocks. In the markdown file(s), be clear about what you want the LLM to do: implement code, review code, explain concepts, analyze bugs, etc.
`git_diff`	No	Generate git diff output to include as context. Shows uncommitted changes by default.
`model`	No	LLM model to use	o3

Input Schema (JSON Schema)

{
  "properties": {
    "files": {
      "description": "Array of file paths to process. Markdown files (.md) become the main prompt, other files are added as context with file paths and code blocks. \n\nIn the markdown file(s), be clear about what you want the LLM to do: implement code, review code, explain concepts, analyze bugs, etc.",
      "items": {
        "type": "string"
      },
      "type": "array"
    },
    "git_diff": {
      "description": "Generate git diff output to include as context. Shows uncommitted changes by default.",
      "properties": {
        "base_ref": {
          "default": "HEAD",
          "description": "Git reference to compare against (e.g., \"HEAD\", \"main\", commit hash)",
          "type": "string"
        },
        "files": {
          "description": "Specific files to include in diff",
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        "repo_path": {
          "description": "Path to git repository (defaults to current working directory)",
          "type": "string"
        }
      },
      "required": [
        "files"
      ],
      "type": "object"
    },
    "model": {
      "default": "o3",
      "description": "LLM model to use",
      "enum": [
        "o3",
        "gemini-2.5-pro",
        "deepseek-reasoner"
      ],
      "type": "string"
    }
  },
  "required": [
    "files"
  ],
  "type": "object"
}

Consult LLM MCP

Instructions

Input Schema

Input Schema (JSON Schema)

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