context-portal
Created 5 months ago
A database-backed Model Context Protocol (MCP) server for managing structured project context.
What is context-portal?
Context Portal (ConPort) is a memory bank database system that effectively builds a project-specific knowledge graph, capturing entities like decisions, progress, and architecture, along with their relationships. This serves as a powerful backend for Retrieval Augmented Generation (RAG), enabling AI assistants to access precise, up-to-date project information.
Documentation
Context Portal MCP (ConPort)# 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:
- Keeps track of project decisions, progress, and system designs.
- Stores custom project data (like glossaries or specs).
- Helps AI find relevant project information quickly (like a smart search).
- Enables AI to use project context for better responses (RAG).
- More efficient for managing, searching, and updating context compared to simple text file-based memory banks.
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:
- Structured context storage using SQLite (one DB per workspace, automatically created).
- MCP server (
context_portal_mcp) built with Python/FastAPI. - A comprehensive suite of defined MCP tools for interaction.
- Multi-workspace support via
workspace_id. - Primary deployment mode: STDIO for tight IDE integration.
- Enables building a dynamic project knowledge graph with explicit relationships between context items.
- Includes vector data storage and semantic search capabilities to power advanced RAG.
- Serves as an ideal backend for Retrieval Augmented Generation (RAG), providing AI with precise, queryable project memory.
- Provides structured context that AI assistants can leverage for prompt caching with compatible LLM providers.
- Manages database schema evolution using Alembic migrations, ensuring seamless updates and data integrity.
License
This project is licensed under the Apache-2.0 license.
Server Config
{
"mcpServers": {
"context-portal-server": {
"command": "npx",
"args": [
"context-portal"
]
}
}
}