Context Portal (ConPort) is a Model Context Protocol (MCP) server that functions as a project memory bank, building a structured knowledge graph to power Retrieval Augmented Generation (RAG) for AI assistants in development environments. Key features of Context Portal: - Project-specific knowledge graph construction capturing decisions, progress, architecture patterns, and their relationships. - Vector embeddings and semantic search capabilities for intelligent context retrieval. - SQLite-backed storage with one database per workspace for reliable, queryable context management. - Multi-workspace support via workspace_id, compatible with various MCP-enabled IDEs and tools. - STDIO-based deployment for tight integration with AI coding assistants like Roo Code, Cline, Windsurf, and Cursor.

Context Portal MCP (ConPort)

(It's a memory bank!)

           

A database-backed Model Context Protocol (MCP) server for managing structured project context, designed to be used by AI assistants and developer tools within IDEs and other interfaces.

What is Context Portal MCP server (ConPort)?

Context Portal (ConPort) is your project's memory bank. It's a tool that helps AI assistants understand your specific software project better by storing important information like decisions, tasks, and architectural patterns in a structured way. Think of it as building a project-specific knowledge base that the AI can easily access and use to give you more accurate and helpful responses.

What it does:

ConPort provides a robust and structured way for AI assistants to store, retrieve, and manage various types of project context. It effectively builds a project-specific knowledge graph, capturing entities like decisions, progress, and architecture, along with their relationships. This structured knowledge base, enhanced by vector embeddings for semantic search, then serves as a powerful backend for Retrieval Augmented Generation (RAG), enabling AI assistants to access precise, up-to-date information for more context-aware and accurate responses.

It replaces older file-based context management systems by offering a more reliable and queryable database backend (SQLite per workspace). ConPort is designed to be a generic context backend, compatible with various IDEs and client interfaces that support MCP.

Key features include:

Prerequisites

Before you begin, ensure you have the following installed:

Installation and Configuration (Recommended)

The recommended way to install and run ConPort is by using uvx to execute the package directly from PyPI. This method avoids the need to manually create and manage virtual environments.

uvx Configuration (Recommended for most IDEs)

In your MCP client settings (e.g., mcp_settings.json), use the following configuration:

{
  "mcpServers": {
    "conport": {
      "command": "uvx",
      "args": [
        "--from",
        "context-portal-mcp",
        "conport-mcp",
        "--mode",
        "stdio",
        "--workspace_id",
        "${workspaceFolder}",
        "--log-file",
        "./logs/conport.log",
        "--log-level",
        "INFO"
      ]
    }
  }
}