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context-portal MCP Server

GreatScottyMac/context-portal

Score: 61.1 → 0.5% Rank #5981 Search & RAG
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Context Portal (ConPort): A memory bank MCP server building a project-specific knowledge graph to supercharge AI assistants. Enables powerful Retrieval Augmented Generation (RAG) for context-aware development in your IDE.

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Overview

GreatScottyMac/context-portal is a Python MCP server licensed under Apache-2.0. Context Portal (ConPort): A memory bank MCP server building a project-specific knowledge graph to supercharge AI assistants. Enables powerful Retrieval Augmented Generation (RAG) for context-aware development in your IDE.

Ranked #5981 out of 24846 indexed tools.

Has 10 contributors.

Ecosystem

Python Apache-2.0

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 767

767 stars → growing community

Freshness 25% 9mo ago

Last commit 9mo ago → stale

Issue Health 25% 54%

27/50 issues closed → decent issue management

Contributors 10% 10

10 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 78
Description Detailed
License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 275 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for GreatScottyMac/context-portal
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Matched Queries

"mcp server""mcp-server"

From the README

<div align="center">

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# Context Portal MCP (ConPort)

## (It's a memory bank!)

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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.

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## 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 (li
Read full README on GitHub →

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