Data · Local MCP server
Hypermnesia MCP Viz
Read-only visualization for Cortex memory, knowledge, sessions, traces, and codebase graphs.
What the MCP Registry states
The entry as published to the official MCP Registry (read 2026-10-04), latest version.
- Registry name
io.github.cdeust/hypermnesia-mcp-viz- Version
- 3.2.0
- Status
- Active
- Category
- data
- Transport
- stdio (local process)
- Package
- PyPI
- Published
- 2026-09-10
- Updated
- 2026-09-10
- Publisher
- cdeust (GitHub) · 5 servers with pages here
- Website
- ai-architect.tools/cortex
- Repository
- github.com/cdeust/cortex-viz
- Source
- Registry API entry
Packages
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPIruntime: python | hypermnesia-mcp-viz | 3.2.0 | stdio |
How to connect Hypermnesia MCP Viz
Hypermnesia MCP Viz runs locally from a Python package published to PyPI: hypermnesia-mcp-viz version 3.2.0. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx hypermnesia-mcp-viz; the entry names python as the runtime.
In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):
{
"mcpServers": {
"hypermnesia-mcp-viz": {
"command": "uvx",
"args": [
"hypermnesia-mcp-viz"
]
}
}
}Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect
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