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Consult7 by szeider

#1083 of 1941 by szeider
33 score

Enables AI agents to analyze large codebases and document collections by consulting large context window models (up to 2M tokens) via OpenRouter when files exceed the current agent's context limits.

Ranked #1083 out of 1941 indexed tools.
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Signal Breakdown

Installs 7
Freshness 21d ago
Issue Health 0%
Stars 292
Platform Breadth 1 platform
Contributors 1
Description Detailed

How to Improve

Issue Health high impact

You have 6 open vs 0 closed issues — triaging stale issues improves health

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Platforms medium impact

Only 1 platform listed — publishing to more platforms improves your score

Badge

AgentRank score for Consult7 by szeider
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Supported Platforms

MCP

From the README

# Consult7 MCP Server

**Consult7** is a Model Context Protocol (MCP) server that enables AI agents to consult large context window models via [OpenRouter](https://openrouter.ai) for analyzing extensive file collections - entire codebases, document repositories, or mixed content that exceed the current agent's context limits.

## Why Consult7?

**Consult7** enables any MCP-compatible agent to offload file analysis to large context models (up to 2M tokens). Useful when:
- Agent's current context is full
- Task requires specialized model capabilities
- Need to analyze large codebases in a single query
- Want to compare results from different models

> "For Claude Code users, Consult7 is a game changer."

## How it works

**Consult7** collects files from the specific paths you provide (with optional wildcards in filenames), assembles them into a single context, and sends them to a large context window model along with your query. The result is directly fed back to the agent you are workin
Read full README on GitHub →