Persistent memory for AI coding agents: local-first semantic search, dependency graphs, git history.
Connect Runs on your machine
claude mcp add contextual -e CONTEXTUAL_LOG_LEVEL=<CONTEXTUAL_LOG_LEVEL> -- uvx contextual-engine==1.0.2
{
"mcpServers": {
"contextual": {
"command": "uvx",
"args": [
"contextual-engine==1.0.2"
],
"env": {
"CONTEXTUAL_LOG_LEVEL": "<CONTEXTUAL_LOG_LEVEL>"
}
}
}
}
{
"mcpServers": {
"contextual": {
"command": "uvx",
"args": [
"contextual-engine==1.0.2"
],
"env": {
"CONTEXTUAL_LOG_LEVEL": "<CONTEXTUAL_LOG_LEVEL>"
}
}
}
}
{
"servers": {
"contextual": {
"type": "stdio",
"command": "uvx",
"args": [
"contextual-engine==1.0.2"
],
"env": {
"CONTEXTUAL_LOG_LEVEL": "<CONTEXTUAL_LOG_LEVEL>"
}
}
}
}
Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.
Tools
This server runs locally, so its tools are listed by your MCP client once it starts.
Environment variables
| Name | Description |
|---|---|
CONTEXTUAL_LOG_LEVELOptional | Python logging level as an integer (e.g. 10=DEBUG, 20=INFO). Defaults to INFO. |
Details
| Package | [email protected] (PYPI, stdio) |
| First published | 7 Sep 2026 |
| Last updated | 7 Sep 2026 |
| Registry name | io.github.Contextual-Laboratories/contextual |
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