Consult7

@szeider

About Consult7

Consult7 allows your agent to leverage models with massive context windows to analyze large codebases/ document collections

#python #uvx #context

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "consult7": {
      "command": "uvx",
      "args": [
        "consult7",
        "--api-key",
        "your-api-key",
        "--provider",
        "openrouter",
        "--model",
        "google/gemini-2.5-pro-preview",
        "--context",
        "1M"
      ]
    }
  }
}

Tools

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Overview

What is Consult7?

Consult7 is a Model Context Protocol (MCP) server that enables AI agents to consult large context window models for analyzing extensive file collections—such as entire codebases or document repositories—that exceed the agent’s own context limits. It supports Openrouter, OpenAI, and Google providers and is designed for users of AI agents with limited context windows, like Claude.

How to use Consult7?

—

Key features of Consult7

Leverages large context window models for analysis
Supports Openrouter, OpenAI, and Google providers
Handles extensive codebases, documents, or mixed content
Integrates with AI agents via the Model Context Protocol
Designed to overcome agent context limits (e.g., 200K tokens)

Use cases of Consult7

Analyzing a full codebase in one query beyond the agent’s context limit
Reviewing large document repositories that would otherwise be split
Combining heterogeneous files (code + docs) for unified analysis
Offloading context-heavy tasks to a model with a larger window

FAQ from Consult7

What does Consult7 do exactly?

It lets an AI agent send an extensive collection of files to a supported model with a large context window, getting an analysis that would be impossible within the agent’s own limited context.

Which model providers does Consult7 support?

Consult7 works with models available on Openrouter, OpenAI, and Google AI (Google Gemini, etc.).

Who should use Consult7?