recursor-mcp 1.0.1

Recursor MCP Server - AI model context protocol integration

Recursor MCP Server

Model Context Protocol (MCP) server for Recursor, enabling AI agents to search memory, record corrections, and check code safety.

Features

• Memory Search: Find relevant coding patterns and past corrections.
• Correction Recording: Learn from user feedback to avoid repeating mistakes.
• Safety Checks: Validate code against safety guardrails.
• Dual Mode: Supports both stdio (default) and HTTP bridge modes.

Installation

Prerequisites

• Python 3.10 or higher
• recursor platform installed

pip install recursor

Usage

Running the Server (stdio)

The default mode for most MCP clients (like Claude Desktop).

python3 -m recursor.mcp

Running the HTTP Bridge

Useful for clients that prefer HTTP over stdio.

python3 -m recursor.mcp --http

Configuration

Set the following environment variables:

• RECURSOR_API_KEY: Your Recursor API key.
• RECURSOR_PROJECT_ID: The project ID to associate with tool calls.
• RECURSOR_API_URL: (Optional) Custom API URL.

Available Tools

search_memory

Search Recursor's memory for relevant coding patterns, past corrections, or guidelines.

add_correction

Record a correction or improvement to the system's memory based on user feedback.

check_safety

Validate a code snippet against safety guardrails.