consult7 MCP Server
szeider/consult7
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MCP server to consult a language model with large context size
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szeider/consult7 is a Python MCP server licensed under MIT. MCP server to consult a language model with large context size
Ranked #5009 out of 24846 indexed tools.
Ecosystem
Score Breakdown
Stars 15% 296
296 stars → growing community
Freshness 25% 1mo ago
Last commit 1mo ago → recently updated
Issue Health 25% 57%
4/7 issues closed → decent issue management
Contributors 10% 1
1 contributor → solo project
Dependents 25% 0
No dependents → no downstream usage
npm Downloads N/A
PyPI Downloads 13% 39/wk
39 weekly installs → early adoption
Forks 29
Description Good
License MIT
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Description low impact
Contributors medium impact
Dependents medium impact
Matched Queries
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 workinRead full README on GitHub →
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