Consult7 MCP Server

Consult7 mcp server lets Claude, Cursor and other MCP clients work with Consult7 directly. Analyze large codebases and document collections using high-context models via OpenRouter, OpenAI, or Google AI -- very useful, e.g., with Claude Code.

What Consult7 does

Consult7 supports Google's Gemini 3.1 family: - Gemini 3.1 Pro (google/gemini-3.1-pro-preview) - Flagship reasoning model, 1M context - Gemini 3 Flash (google/gemini-3-flash-preview) - Ultra-fast model, 1M context - Gemini 3.1 Flash Lite (google/gemini-3.1-flash-lite-preview) - Ultra-fast lite model, 1M context

Key capabilities

• 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

Installing the consult7 mcp server

The server is distributed via PyPI as consult7, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.

Where it fits

AI-service servers chain other models into your assistant, turning a single chat into a small production pipeline. Consult7 sits in that group. Worth comparing against the other ai services servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.

Practical notes

• This server runs locally, so it operates with whatever access your machine and its credentials already have. Scope that deliberately rather than by default.
• Written in Python.
• MCP clients ask for confirmation before each tool call by default. Keep that on while you learn what the consult7 mcp server actually does with your data.
• Every entry in this directory is reviewed by hand before it goes live, and details are checked against the project's own documentation.