Hypermnesia MCP Viz MCP Server

by cdeust Your server? Claim it

local only

Hypermnesia MCP Viz runs on your own machine — the client starts it, so there is no endpoint to ping. 95 installs a week from pypi. Last commit 10 Sep 2026.

Read-only visualization for Cortex memory, knowledge, sessions, traces, and codebase graphs.

Installs per day peak 469 · avg 38 · -34% w/w

a month agotoday

Installs / week

pypi · hypermnesia-mcp-viz

Stars

0 open issues

10 Sep 2026

Last commit

0 releases in 90 days

MIT

License

Python

What the code does

We read the source, 11 h ago · rules 3dff92dd89df

Evidence

Things with no honest explanation: a promise that contradicts the code, code that runs at install time while hiding what it does, data leaving the machine.

Claims read-only, but the code runs commands cortex_viz/handlers/open_visualization.py:202, cortex_viz/infrastructure/schema_migrate.py:141, cortex_viz/server/build_process.py:233 и ещё 15

                    subprocess.run(

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Builds a file path from a variable cortex_viz/core/activity_paths.py:72, cortex_viz/core/wiki_coverage_score.py:97, cortex_viz/server/git_diff_engine.py:199 и ещё 5

        p = posixpath.join(cwd, p)

Runs an external command cortex_viz/handlers/open_visualization.py:202, cortex_viz/infrastructure/schema_migrate.py:141, cortex_viz/server/git_diff_engine.py:48 и ещё 13

                    subprocess.run(

Unsafe deserialization cortex_viz/server/build_process.py:233, [пакет] cortex_viz/server/build_process.py:233

                        data = pickle.load(fh)

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

We found things in this code

Code changes quietly between releases, and nobody reads the diff of a dependency. We do, on every release — watch Hypermnesia MCP Viz and you get told the day something new turns up.

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add hypermnesia-mcp-viz -- uvx hypermnesia-mcp-viz

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "hypermnesia-mcp-viz": {
      "args": [
        "hypermnesia-mcp-viz"
      ],
      "command": "uvx"
    }
  }
}

~/.codex/config.toml

[mcp_servers.hypermnesia-mcp-viz]
command = "uvx"
args = ["hypermnesia-mcp-viz"]

.cursor/mcp.json

{
  "mcpServers": {
    "hypermnesia-mcp-viz": {
      "args": [
        "hypermnesia-mcp-viz"
      ],
      "command": "uvx"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "hypermnesia-mcp-viz": {
      "args": [
        "hypermnesia-mcp-viz"
      ],
      "command": "uvx"
    }
  }
}

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Hypermnesia MCP Viz — questions

Answers built from our own checks of this server.

Why is there no uptime for Hypermnesia MCP Viz?

Hypermnesia MCP Viz runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package hypermnesia-mcp-viz was installed 95 times last week.

How do I connect Hypermnesia MCP Viz?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls hypermnesia-mcp-viz straight from pypi; nothing to host, nothing to sign up for.

How many people use Hypermnesia MCP Viz?

The pypi package hypermnesia-mcp-viz was installed 95 times in the last week. Week over week that is -34%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is Hypermnesia MCP Viz open source?

Yes — it is published under the MIT licence, written in Python and 4 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.