Consult7 MCP Server
Consult7 is a Model Context Protocol (MCP) server that enables AI agents to consult large context window models via OpenRouter 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 working with.
Example Use Cases
Quick codebase summary
- Files:
["/Users/john/project/src/*.py", "/Users/john/project/lib/*.py"] - Query: "Summarize the architecture and main components of this Python project"
- Model:
"google/gemini-3-flash-preview" - Mode:
"fast"
