Persistent memory for AI coding agents: local-first semantic search, dependency graphs, git history.
Contextual is an MCP integration. Persistent memory for AI coding agents: local-first semantic search, dependency graphs, git history.
The published pypi package is contextual-engine, version 1.0.2. Its declared MCP transport is stdio.
The package declares CONTEXTUAL_LOG_LEVEL: Python logging level as an integer (e.g. 10=DEBUG, 20=INFO). Defaults to INFO..
This package has launch arguments in its registry record. Use the maintainer’s configuration for those arguments rather than launching it with only the package name.
Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.
View the publisher’s registry entry. This profile uses version 1.0.2 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.
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| Variable | Description | Required |
|---|---|---|
| CONTEXTUAL_LOG_LEVEL | Python logging level as an integer (e.g. 10=DEBUG, 20=INFO). Defaults to INFO. | Optional |
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