# Context Portal

> Use this tool when you need to manage complex project knowledge and context for AI assistants, solving problems of data fragmentation and loss of project history. The Context Portal provides a queryable knowledge graph with semantic search, storing project decisions, progress, and custom data, and supports multi-workspace environments and full-text search. It is ideal for teams seeking a robust backend to replace file-based context management and maintain relationships between project artifacts.

Canonical page: https://skillsregistry.net/skills/context-portal  
JSON: https://api.skillsregistry.net/v1/skills/context-portal

## Description

Context Portal (ConPort) is a database-backed MCP server developed by GreatScottyMac that provides structured project memory management for AI assistants. Built with Python/FastAPI and SQLite, it stores project decisions, progress tracking, system patterns, and custom data in a queryable knowledge graph with vector embeddings for semantic search. The implementation supports multi-workspace environments, automatic database creation, full-text search capabilities, and comprehensive import/export functionality, making it ideal for teams wanting to replace file-based context management with a robust RAG-enabled backend that maintains project history and relationships between different types of project artifacts.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/context-portal)
- **Repository:** <https://github.com/greatscottymac/context-portal>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "context-portal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/context-portal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/context-portal/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
