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claude mcp add mnemo -e API_KEYS=<API_KEYS> -- uvx n24q02m-mnemo==2.22.0{
"mcpServers": {
"mnemo": {
"command": "uvx",
"args": [
"n24q02m-mnemo==2.22.0"
],
"env": {
"API_KEYS": "<API_KEYS>"
}
}
}
}{
"mcpServers": {
"mnemo": {
"command": "uvx",
"args": [
"n24q02m-mnemo==2.22.0"
],
"env": {
"API_KEYS": "<API_KEYS>"
}
}
}
}{
"servers": {
"mnemo": {
"type": "stdio",
"command": "uvx",
"args": [
"n24q02m-mnemo==2.22.0"
],
"env": {
"API_KEYS": "<API_KEYS>"
}
}
}
}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 |
|---|---|
API_KEYSOptional, secret | Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; conf… |
Details
| Package | [email protected] (PYPI, streamable-http) |
| First published | 12 Nov 2026 |
| Last updated | 12 Nov 2026 |
| Registry name | io.github.n24q02m/mnemo |
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