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Contextual

I
by io.github.Contextual-Laboratories

Persistent memory for AI coding agents: local-first semantic search, dependency graphs, git history.

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Add this server

The publisher's own command. Not a PlugMCP endpoint.

Local command
uvx contextual-engine==1.0.2
Credentials from the publisher
  • CONTEXTUAL_LOG_LEVEL β€” Python logging level as an integer (e.g. 10=DEBUG, 20=INFO). Defaults to INFO.
Provider
Claude Code
CONTEXTUAL_LOG_LEVEL=<value> claude mcp add io.github.contextual-laboratories-contextual -- uvx contextual-engine==1.0.2

Run in a terminal.

Claude Desktop
{
  "mcpServers": {
    "io.github.contextual-laboratories-contextual": {
      "command": "uvx",
      "args": [
        "contextual-engine==1.0.2"
      ],
      "env": {
        "CONTEXTUAL_LOG_LEVEL": "<value>"
      }
    }
  }
}

claude_desktop_config.json

Step-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

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Persistent memory for AI coding agents: local-first semantic search, dependency graphs, git history.

README is not crawled yet. No repository on file.

How do I install Contextual?
Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
Does Contextual need an API key?
The publisher lists these environment variables: CONTEXTUAL_LOG_LEVEL.
What transport does Contextual use?
Contextual runs locally over stdio.
When was Contextual last checked?
Last checked 2026-10-16. Persistent memory for AI coding agents: local-first semantic search, dependency graphs, git history.

No tool list yet. Remote servers get one after the first health check.

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