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Copy pathserver.json
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61 lines (61 loc) · 1.99 KB
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{
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"name": "io.github.Lexus2016/turbo-quant-memory",
"title": "Turbo Quant Memory",
"description": "Local-first memory and knowledge graph for coding agents. Compact retrieval, no network.",
"version": "0.30.0",
"websiteUrl": "https://github.com/Lexus2016/turbo_quant_memory#readme",
"repository": {
"url": "https://github.com/Lexus2016/turbo_quant_memory",
"source": "github"
},
"packages": [
{
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"identifier": "turbo-quant-memory",
"version": "0.30.0",
"runtimeHint": "uvx",
"transport": {
"type": "stdio"
},
"packageArguments": [
{
"type": "positional",
"value": "serve",
"isRequired": true,
"description": "Run the memory server over stdio."
}
],
"environmentVariables": [
{
"name": "TQMEMORY_FTS_LANGUAGE",
"description": "Snowball stemmer for the BM25 lane. Use Russian for Cyrillic-dominant corpora.",
"default": "English",
"isRequired": false,
"isSecret": false
},
{
"name": "TQMEMORY_EMBEDDING_BACKEND",
"description": "Embedder backend. Default fastembed (ONNX); sentence-transformers needs the [torch] extra.",
"default": "fastembed",
"isRequired": false,
"isSecret": false
},
{
"name": "TQMEMORY_MIGRATE_ON_STARTUP",
"description": "Set to 1 to apply pending schema migrations automatically on startup.",
"default": "0",
"isRequired": false,
"isSecret": false
},
{
"name": "TQMEMORY_SECRETS_PASSPHRASE",
"description": "Argon2id passphrase for the secrets vault on headless hosts. Omit to use the OS keyring.",
"isRequired": false,
"isSecret": true
}
]
}
]
}